diff --git a/00-before-we-start.html b/00-before-we-start.html
index e7958f7b2..712172e4a 100644
--- a/00-before-we-start.html
+++ b/00-before-we-start.html
@@ -304,10 +304,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
                     RESOURCES
                   </button>
                 </h2>
@@ -327,7 +327,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
                 </div>
               </div>
             </div>
-            <hr class="half-width resources"><a href="aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
@@ -397,8 +397,7 @@ <h3 class="card-title">Objectives</h3>
 </div>
 </div>
 </div>
-<section><h2 class="section-heading" id="what-is-python">What is Python?<a class="anchor" aria-label="anchor" href="#what-is-python"></a>
-<a class="anchor" aria-label="anchor" href="#what-is-python"></a></h2>
+<section><h2 class="section-heading" id="what-is-python">What is Python?<a class="anchor" aria-label="anchor" href="#what-is-python"></a></h2>
 <hr class="half-width"><p>Python is a general purpose programming language that supports rapid
 development of data analytics applications. The word “Python” is used to
 refer to both, the programming language and the tool that executes the
@@ -447,8 +446,7 @@ <h3 class="card-title">Objectives</h3>
 <li><p><strong>Free and Open-Source Software (FOSS)… and
 Cross-Platform:</strong> We know we have already said that but it is
 worth repeating.</p></li>
-</ul></section><section><h2 class="section-heading" id="knowing-your-way-around-anaconda">Knowing your way around Anaconda<a class="anchor" aria-label="anchor" href="#knowing-your-way-around-anaconda"></a>
-<a class="anchor" aria-label="anchor" href="#knowing-your-way-around-anaconda"></a></h2>
+</ul></section><section><h2 class="section-heading" id="knowing-your-way-around-anaconda">Knowing your way around Anaconda<a class="anchor" aria-label="anchor" href="#knowing-your-way-around-anaconda"></a></h2>
 <hr class="half-width"><p><a href="https://www.anaconda.com/download" class="external-link">Anaconda</a> distribution
 of Python includes a lot of its popular packages, such as the IPython
 console, Jupyter Notebook, and Spyder IDE. Have a quick look around the
@@ -463,8 +461,7 @@ <h3 class="card-title">Objectives</h3>
 within a single interface.</p>
 <p>Anaconda comes with a package manager called <a href="https://conda.io/docs/" class="external-link">conda</a> used to install and update
 additional packages.</p>
-</section><section><h2 class="section-heading" id="research-project-best-practices">Research Project: Best Practices<a class="anchor" aria-label="anchor" href="#research-project-best-practices"></a>
-<a class="anchor" aria-label="anchor" href="#research-project-best-practices"></a></h2>
+</section><section><h2 class="section-heading" id="research-project-best-practices">Research Project: Best Practices<a class="anchor" aria-label="anchor" href="#research-project-best-practices"></a></h2>
 <hr class="half-width"><p>It is a good idea to keep a set of related data, analyses, and text
 in a single folder. All scripts and text files within this folder can
 then use relative paths to the data files. Working this way makes it a
@@ -495,8 +492,7 @@ <h3 id="organizing-your-working-directory">Organizing your working directory<a c
 <code>data_output/</code> folder when we learn how to export data as CSV
 files.</p>
 </div>
-</section><section><h2 class="section-heading" id="what-is-programming-and-coding">What is Programming and Coding?<a class="anchor" aria-label="anchor" href="#what-is-programming-and-coding"></a>
-<a class="anchor" aria-label="anchor" href="#what-is-programming-and-coding"></a></h2>
+</section><section><h2 class="section-heading" id="what-is-programming-and-coding">What is Programming and Coding?<a class="anchor" aria-label="anchor" href="#what-is-programming-and-coding"></a></h2>
 <hr class="half-width"><p>Programming is the process of writing <em>“programs”</em> that a
 computer can execute and produce some (useful) output. Programming is a
 multi-step process that involves the following steps:</p>
@@ -567,8 +563,7 @@ <h4 id="if-you-are-working-with-spyder">If you are working with Spyder:<a class=
 console window and press <kbd>Esc</kbd>; this will cancel the incomplete
 command and return you to the <code>In [..]:</code> prompt.</p>
 </div>
-</section><section><h2 class="section-heading" id="how-to-learn-more-after-the-workshop">How to learn more after the workshop?<a class="anchor" aria-label="anchor" href="#how-to-learn-more-after-the-workshop"></a>
-<a class="anchor" aria-label="anchor" href="#how-to-learn-more-after-the-workshop"></a></h2>
+</section><section><h2 class="section-heading" id="how-to-learn-more-after-the-workshop">How to learn more after the workshop?<a class="anchor" aria-label="anchor" href="#how-to-learn-more-after-the-workshop"></a></h2>
 <hr class="half-width"><p>The material we cover during this workshop will give you an initial
 taste of how you can use Python to analyze data for your own research.
 However, you will need to learn more to do advanced operations such as
@@ -579,8 +574,7 @@ <h4 id="if-you-are-working-with-spyder">If you are working with Spyder:<a class=
 from scratch, and given that many people make their code available
 online, modifying existing code to suit your purpose might make it
 easier for you to get started.</p>
-</section><section><h2 class="section-heading" id="seeking-help">Seeking help<a class="anchor" aria-label="anchor" href="#seeking-help"></a>
-<a class="anchor" aria-label="anchor" href="#seeking-help"></a></h2>
+</section><section><h2 class="section-heading" id="seeking-help">Seeking help<a class="anchor" aria-label="anchor" href="#seeking-help"></a></h2>
 <hr class="half-width"><ul><li>check under the <em>Help</em> menu</li>
 <li>type <code>help()</code>
 </li>
@@ -638,8 +632,7 @@ <h3 id="where-to-ask-for-help">Where to ask for help?<a class="anchor" aria-labe
 <li><a href="https://www.python.org/community/lists" class="external-link">Python mailing
 lists</a></li>
 </ul></div>
-</section><section><h2 class="section-heading" id="more-resources">More resources<a class="anchor" aria-label="anchor" href="#more-resources"></a>
-<a class="anchor" aria-label="anchor" href="#more-resources"></a></h2>
+</section><section><h2 class="section-heading" id="more-resources">More resources<a class="anchor" aria-label="anchor" href="#more-resources"></a></h2>
 <hr class="half-width"><ul><li><p><a href="https://pypi.org/" class="external-link">PyPI - the Python Package
 Index</a></p></li>
 <li><p><a href="https://docs.python-guide.org" class="external-link">The Hitchhiker’s Guide to
@@ -651,8 +644,7 @@ <h3 id="where-to-ask-for-help">Where to ask for help?<a class="anchor" aria-labe
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul><li>Python is an open source and platform independent programming
 language.</li>
@@ -698,7 +690,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
         <p>Materials licensed under <a href="LICENSE.html">CC-BY 4.0</a> by the authors</p>
 
         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
-        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.5" class="external-link">sandpaper (0.16.5)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.3" class="external-link">varnish (1.0.3)</a></p>
+        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.6" class="external-link">sandpaper (0.16.6)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.4" class="external-link">varnish (1.0.4)</a></p>
 			</div>
 		</footer></div> <!-- / div.container -->
 	<div id="to-top">
@@ -721,7 +713,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/00-before-we-start.html",
   "dateCreated": "2015-03-19",
   "dateModified": "2024-02-21",
-  "datePublished": "2024-08-20"
+  "datePublished": "2024-08-27"
 }
 
   </script><script>
diff --git a/01-short-introduction-to-Python.html b/01-short-introduction-to-Python.html
index 52162fdf1..6f626a8f6 100644
--- a/01-short-introduction-to-Python.html
+++ b/01-short-introduction-to-Python.html
@@ -302,10 +302,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
                     RESOURCES
                   </button>
                 </h2>
@@ -325,7 +325,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
                 </div>
               </div>
             </div>
-            <hr class="half-width resources"><a href="aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
@@ -397,8 +397,7 @@ <h3 class="card-title">Objectives</h3>
 </div>
 </div>
 </div>
-<section><h2 class="section-heading" id="interpreter">Interpreter<a class="anchor" aria-label="anchor" href="#interpreter"></a>
-<a class="anchor" aria-label="anchor" href="#interpreter"></a></h2>
+<section><h2 class="section-heading" id="interpreter">Interpreter<a class="anchor" aria-label="anchor" href="#interpreter"></a></h2>
 <hr class="half-width"><p>Python is an interpreted language which can be used in two ways:</p>
 <ul><li>“Interactively”: when you use it as an “advanced calculator”
 executing one command at a time. To start Python in this mode, execute
@@ -451,8 +450,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </h3>
 <pre class="output" tabindex="0"><code>Hello World</code></pre>
 </div>
-</section><section><h2 class="section-heading" id="introduction-to-variables-in-python">Introduction to variables in Python<a class="anchor" aria-label="anchor" href="#introduction-to-variables-in-python"></a>
-<a class="anchor" aria-label="anchor" href="#introduction-to-variables-in-python"></a></h2>
+</section><section><h2 class="section-heading" id="introduction-to-variables-in-python">Introduction to variables in Python<a class="anchor" aria-label="anchor" href="#introduction-to-variables-in-python"></a></h2>
 <hr class="half-width"><div class="section level3">
 <h3 id="assigning-values-to-variables">Assigning values to variables<a class="anchor" aria-label="anchor" href="#assigning-values-to-variables"></a></h3>
 <p>One of the most basic things we can do in Python is assign values to
@@ -666,8 +664,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <pre class="output" tabindex="0"><code><span><span class="va">False</span></span></code></pre>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="sequences-lists-and-tuples">Sequences: Lists and Tuples<a class="anchor" aria-label="anchor" href="#sequences-lists-and-tuples"></a>
-<a class="anchor" aria-label="anchor" href="#sequences-lists-and-tuples"></a></h2>
+</section><section><h2 class="section-heading" id="sequences-lists-and-tuples">Sequences: Lists and Tuples<a class="anchor" aria-label="anchor" href="#sequences-lists-and-tuples"></a></h2>
 <hr class="half-width"><div class="section level3">
 <h3 id="lists">Lists<a class="anchor" aria-label="anchor" href="#lists"></a></h3>
 <p><strong>Lists</strong> are a common data structure to hold an ordered
@@ -757,8 +754,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="tuples-vs.-lists" class="callout-inner">
-<h3 class="callout-title">Tuples <em>vs.</em> Lists<a class="anchor" aria-label="anchor" href="#tuples-vs.-lists"></a>
-</h3>
+<h3 class="callout-title">Tuples <em>vs.</em> Lists</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li>What happens when you execute <code>a_list[1] = 5</code>?</li>
 <li>What happens when you execute <code>a_tuple[2] = 5</code>?</li>
@@ -845,8 +841,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="dictionaries">Dictionaries<a class="anchor" aria-label="anchor" href="#dictionaries"></a>
-<a class="anchor" aria-label="anchor" href="#dictionaries"></a></h2>
+</section><section><h2 class="section-heading" id="dictionaries">Dictionaries<a class="anchor" aria-label="anchor" href="#dictionaries"></a></h2>
 <hr class="half-width"><p>A <strong>dictionary</strong> is a container that holds pairs of
 objects - keys and values.</p>
 <div class="codewrapper sourceCode" id="cb57">
@@ -920,8 +915,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="changing-dictionaries" class="callout-inner">
-<h3 class="callout-title">Changing dictionaries<a class="anchor" aria-label="anchor" href="#changing-dictionaries"></a>
-</h3>
+<h3 class="callout-title">Changing dictionaries</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li>First, print the value of the <code>rev</code> dictionary to the
 screen.</li>
@@ -967,8 +961,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 
-</section><section><h2 class="section-heading" id="functions">Functions<a class="anchor" aria-label="anchor" href="#functions"></a>
-<a class="anchor" aria-label="anchor" href="#functions"></a></h2>
+</section><section><h2 class="section-heading" id="functions">Functions<a class="anchor" aria-label="anchor" href="#functions"></a></h2>
 <hr class="half-width"><p>Defining a section of code as a <strong>function</strong> in Python
 is done using the <code>def</code> keyword. For example a function that
 takes two arguments and returns their sum can be defined as:</p>
@@ -992,8 +985,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul><li>Python is an interpreted language which can be used interactively
 (executing one command at a time) or in scripting mode (executing a
@@ -1045,7 +1037,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
         <p>Materials licensed under <a href="LICENSE.html">CC-BY 4.0</a> by the authors</p>
 
         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
-        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.5" class="external-link">sandpaper (0.16.5)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.3" class="external-link">varnish (1.0.3)</a></p>
+        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.6" class="external-link">sandpaper (0.16.6)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.4" class="external-link">varnish (1.0.4)</a></p>
 			</div>
 		</footer></div> <!-- / div.container -->
 	<div id="to-top">
@@ -1068,7 +1060,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/01-short-introduction-to-Python.html",
   "dateCreated": "2015-03-19",
   "dateModified": "2024-02-21",
-  "datePublished": "2024-08-20"
+  "datePublished": "2024-08-27"
 }
 
   </script><script>
diff --git a/02-starting-with-data.html b/02-starting-with-data.html
index e7a32a0d0..c9cd8440f 100644
--- a/02-starting-with-data.html
+++ b/02-starting-with-data.html
@@ -301,10 +301,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
                     RESOURCES
                   </button>
                 </h2>
@@ -324,7 +324,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
                 </div>
               </div>
             </div>
-            <hr class="half-width resources"><a href="aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
@@ -400,8 +400,7 @@ <h3 class="card-title">Objectives</h3>
 </div>
 </div>
 </div>
-<section><h2 class="section-heading" id="working-with-pandas-dataframes-in-python">Working With Pandas DataFrames in Python<a class="anchor" aria-label="anchor" href="#working-with-pandas-dataframes-in-python"></a>
-<a class="anchor" aria-label="anchor" href="#working-with-pandas-dataframes-in-python"></a></h2>
+<section><h2 class="section-heading" id="working-with-pandas-dataframes-in-python">Working With Pandas DataFrames in Python<a class="anchor" aria-label="anchor" href="#working-with-pandas-dataframes-in-python"></a></h2>
 <hr class="half-width"><p>We can automate the process of performing data manipulations in
 Python. It’s efficient to spend time building the code to perform these
 tasks because once it’s built, we can use it over and over on different
@@ -501,8 +500,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <code>pd</code>. This means we don’t have to type out
 <code>pandas</code> each time we call a Pandas function.</p>
 </div>
-</section><section><h2 class="section-heading" id="reading-csv-data-using-pandas">Reading CSV Data Using Pandas<a class="anchor" aria-label="anchor" href="#reading-csv-data-using-pandas"></a>
-<a class="anchor" aria-label="anchor" href="#reading-csv-data-using-pandas"></a></h2>
+</section><section><h2 class="section-heading" id="reading-csv-data-using-pandas">Reading CSV Data Using Pandas<a class="anchor" aria-label="anchor" href="#reading-csv-data-using-pandas"></a></h2>
 <hr class="half-width"><p>We will begin by locating and reading our survey data which are in
 CSV format. CSV stands for Comma-Separated Values and is a common way to
 store formatted data. Other symbols may also be used, so you might see
@@ -729,8 +727,7 @@ <h4 id="useful-ways-to-view-dataframe-objects-in-python">Useful Ways to View Dat
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---dataframes" class="callout-inner">
-<h3 class="callout-title">Challenge - DataFrames<a class="anchor" aria-label="anchor" href="#challenge---dataframes"></a>
-</h3>
+<h3 class="callout-title">Challenge - DataFrames</h3>
 <div class="callout-content">
 <p>Using our DataFrame <code>surveys_df</code>, try out the
 <strong>attributes</strong> &amp; <strong>methods</strong> below to see
@@ -752,7 +749,7 @@ <h3 class="callout-title">Challenge - DataFrames<a class="anchor" aria-label="an
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
 <div class="accordion-body">
 <ol style="list-style-type: decimal"><li>
 <code>surveys_df.columns</code> provides the names of the columns in
@@ -823,8 +820,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---statistics" class="callout-inner">
-<h3 class="callout-title">Challenge - Statistics<a class="anchor" aria-label="anchor" href="#challenge---statistics"></a>
-</h3>
+<h3 class="callout-title">Challenge - Statistics</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li><p>Create a list of unique site IDs (“plot_id”) found in the surveys
 data. Call it <code>site_names</code>. How many unique sites are there
@@ -839,7 +835,7 @@ <h3 class="callout-title">Challenge - Statistics<a class="anchor" aria-label="an
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution2" aria-expanded="false" aria-controls="collapseSolution2">
   <h4 class="accordion-header" id="headingSolution2"> Show me the solution </h4>
 </button>
-<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
+<div id="collapseSolution2" class="accordion-collapse collapse" data-bs-parent="#accordionSolution2" aria-labelledby="headingSolution2">
 <div class="accordion-body">
 <ol style="list-style-type: decimal"><li><code>site_names = pd.unique(surveys_df["plot_id"])</code></li>
 </ol><ul><li>How many unique sites are in the data? <code>site_names.size</code>
@@ -859,8 +855,7 @@ <h4 class="accordion-header" id="headingSolution2"> Show me the solution </h4>
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="groups-in-pandas">Groups in Pandas<a class="anchor" aria-label="anchor" href="#groups-in-pandas"></a>
-<a class="anchor" aria-label="anchor" href="#groups-in-pandas"></a></h2>
+</section><section><h2 class="section-heading" id="groups-in-pandas">Groups in Pandas<a class="anchor" aria-label="anchor" href="#groups-in-pandas"></a></h2>
 <hr class="half-width"><p>We often want to calculate summary statistics grouped by subsets or
 attributes within fields of our data. For example, we might want to
 calculate the average weight of all individuals per site.</p>
@@ -942,8 +937,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---summary-data" class="callout-inner">
-<h3 class="callout-title">Challenge - Summary Data<a class="anchor" aria-label="anchor" href="#challenge---summary-data"></a>
-</h3>
+<h3 class="callout-title">Challenge - Summary Data</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li>How many recorded individuals are female <code>F</code> and how many
 male <code>M</code>?</li>
@@ -963,7 +957,7 @@ <h3 class="callout-title">Challenge - Summary Data<a class="anchor" aria-label="
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution3" aria-expanded="false" aria-controls="collapseSolution3">
   <h4 class="accordion-header" id="headingSolution3"> Show me the solution </h4>
 </button>
-<div id="collapseSolution3" class="accordion-collapse collapse" aria-labelledby="headingSolution3" data-bs-parent="#accordionSolution3">
+<div id="collapseSolution3" class="accordion-collapse collapse" data-bs-parent="#accordionSolution3" aria-labelledby="headingSolution3">
 <div class="accordion-body">
 <ol style="list-style-type: decimal"><li>The first column of output from <code>grouped_data.describe()</code>
 (count) tells us that the data contains 15690 records for female
@@ -1046,8 +1040,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---make-a-list" class="callout-inner">
-<h3 class="callout-title">Challenge - Make a list<a class="anchor" aria-label="anchor" href="#challenge---make-a-list"></a>
-</h3>
+<h3 class="callout-title">Challenge - Make a list</h3>
 <div class="callout-content">
 <p>What’s another way to create a list of species and associated
 <code>count</code> of the records in the data? Hint: you can perform
@@ -1062,7 +1055,7 @@ <h3 class="callout-title">Challenge - Make a list<a class="anchor" aria-label="a
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution4" aria-expanded="false" aria-controls="collapseSolution4">
   <h4 class="accordion-header" id="headingSolution4"> Show me the solution </h4>
 </button>
-<div id="collapseSolution4" class="accordion-collapse collapse" aria-labelledby="headingSolution4" data-bs-parent="#accordionSolution4">
+<div id="collapseSolution4" class="accordion-collapse collapse" data-bs-parent="#accordionSolution4" aria-labelledby="headingSolution4">
 <div class="accordion-body">
 <p>As well as calling <code>count()</code> on the <code>record_id</code>
 column of the grouped DataFrame as above, an equivalent result can be
@@ -1145,8 +1138,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <p>A more practical use of this might be to normalize the data according
 to a mean, area, or some other value calculated from our data.</p>
 </div>
-</section><section><h2 class="section-heading" id="quick-easy-plotting-data-using-pandas">Quick &amp; Easy Plotting Data Using Pandas<a class="anchor" aria-label="anchor" href="#quick-easy-plotting-data-using-pandas"></a>
-<a class="anchor" aria-label="anchor" href="#quick-easy-plotting-data-using-pandas"></a></h2>
+</section><section><h2 class="section-heading" id="quick-easy-plotting-data-using-pandas">Quick &amp; Easy Plotting Data Using Pandas<a class="anchor" aria-label="anchor" href="#quick-easy-plotting-data-using-pandas"></a></h2>
 <hr class="half-width"><p>We can plot our summary stats using Pandas, too.</p>
 <div class="codewrapper sourceCode" id="cb32">
 <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -1171,8 +1163,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---plots" class="callout-inner">
-<h3 class="callout-title">Challenge - Plots<a class="anchor" aria-label="anchor" href="#challenge---plots"></a>
-</h3>
+<h3 class="callout-title">Challenge - Plots</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li>Create a plot of average weight across all species per site.</li>
 <li>Create a plot of total males versus total females for the entire
@@ -1185,7 +1176,7 @@ <h3 class="callout-title">Challenge - Plots<a class="anchor" aria-label="anchor"
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution5" aria-expanded="false" aria-controls="collapseSolution5">
   <h4 class="accordion-header" id="headingSolution5"> Show me the solution </h4>
 </button>
-<div id="collapseSolution5" class="accordion-collapse collapse" aria-labelledby="headingSolution5" data-bs-parent="#accordionSolution5">
+<div id="collapseSolution5" class="accordion-collapse collapse" data-bs-parent="#accordionSolution5" aria-labelledby="headingSolution5">
 <div class="accordion-body">
 <ol style="list-style-type: decimal"><li><code>surveys_df.groupby('plot_id').mean()["weight"].plot(kind='bar')</code></li>
 </ol><figure><img src="fig/01_chall_bar_meanweight.png" alt="average weight across all species for each plot" class="figure mx-auto d-block"></figure><ol start="2" style="list-style-type: decimal"><li><code>surveys_df.groupby('sex').count()["record_id"].plot(kind='bar')</code></li>
@@ -1198,8 +1189,7 @@ <h4 class="accordion-header" id="headingSolution5"> Show me the solution </h4>
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="summary-plotting-challenge" class="callout-inner">
-<h3 class="callout-title">Summary Plotting Challenge<a class="anchor" aria-label="anchor" href="#summary-plotting-challenge"></a>
-</h3>
+<h3 class="callout-title">Summary Plotting Challenge</h3>
 <div class="callout-content">
 <p>Create a stacked bar plot, with weight on the Y axis, and the stacked
 variable being sex. The plot should show total weight by sex for each
@@ -1247,7 +1237,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution6" aria-expanded="false" aria-controls="collapseSolution6">
   <h4 class="accordion-header" id="headingSolution6"> Solution to Summary Challenge </h4>
 </button>
-<div id="collapseSolution6" class="accordion-collapse collapse" aria-labelledby="headingSolution6" data-bs-parent="#accordionSolution6">
+<div id="collapseSolution6" class="accordion-collapse collapse" data-bs-parent="#accordionSolution6" aria-labelledby="headingSolution6">
 <div class="accordion-body">
 <p>First we group data by site and by sex, and then calculate a total
 for each site.</p>
@@ -1319,8 +1309,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul><li>Libraries enable us to extend the functionality of Python.</li>
 <li>Pandas is a popular library for working with data.</li>
@@ -1369,7 +1358,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
         <p>Materials licensed under <a href="LICENSE.html">CC-BY 4.0</a> by the authors</p>
 
         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
-        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.5" class="external-link">sandpaper (0.16.5)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.3" class="external-link">varnish (1.0.3)</a></p>
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 	<div id="to-top">
@@ -1392,7 +1381,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/02-starting-with-data.html",
   "dateCreated": "2015-03-19",
   "dateModified": "2024-02-23",
-  "datePublished": "2024-08-20"
+  "datePublished": "2024-08-27"
 }
 
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diff --git a/03-index-slice-subset.html b/03-index-slice-subset.html
index d288c9da0..f8305ee9e 100644
--- a/03-index-slice-subset.html
+++ b/03-index-slice-subset.html
@@ -306,10 +306,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
                     RESOURCES
                   </button>
                 </h2>
@@ -329,7 +329,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
                 </div>
               </div>
             </div>
-            <hr class="half-width resources"><a href="aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
@@ -420,8 +420,7 @@ <h3 class="card-title">Objectives</h3>
 <ul><li>indexing,</li>
 <li>slicing, and</li>
 <li>subsetting.</li>
-</ul><section><h2 class="section-heading" id="loading-our-data">Loading our data<a class="anchor" aria-label="anchor" href="#loading-our-data"></a>
-<a class="anchor" aria-label="anchor" href="#loading-our-data"></a></h2>
+</ul><section><h2 class="section-heading" id="loading-our-data">Loading our data<a class="anchor" aria-label="anchor" href="#loading-our-data"></a></h2>
 <hr class="half-width"><p>We will continue to use the surveys dataset that we worked with in
 the last episode. Let’s reopen and read in the data again:</p>
 <div class="codewrapper sourceCode" id="cb1">
@@ -433,14 +432,12 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <span id="cb1-4"><a href="#cb1-4" tabindex="-1"></a><span class="co"># Read in the survey CSV</span></span>
 <span id="cb1-5"><a href="#cb1-5" tabindex="-1"></a>surveys_df <span class="op">=</span> pd.read_csv(<span class="st">"data/surveys.csv"</span>)</span></code></pre>
 </div>
-</section><section><h2 class="section-heading" id="indexing-and-slicing-in-python">Indexing and Slicing in Python<a class="anchor" aria-label="anchor" href="#indexing-and-slicing-in-python"></a>
-<a class="anchor" aria-label="anchor" href="#indexing-and-slicing-in-python"></a></h2>
+</section><section><h2 class="section-heading" id="indexing-and-slicing-in-python">Indexing and Slicing in Python<a class="anchor" aria-label="anchor" href="#indexing-and-slicing-in-python"></a></h2>
 <hr class="half-width"><p>We often want to work with subsets of a <strong>DataFrame</strong>
 object. There are different ways to accomplish this including: using
 labels (column headings), numeric ranges, or specific x,y index
 locations.</p>
-</section><section><h2 class="section-heading" id="selecting-data-using-labels-column-headings">Selecting data using Labels (Column Headings)<a class="anchor" aria-label="anchor" href="#selecting-data-using-labels-column-headings"></a>
-<a class="anchor" aria-label="anchor" href="#selecting-data-using-labels-column-headings"></a></h2>
+</section><section><h2 class="section-heading" id="selecting-data-using-labels-column-headings">Selecting data using Labels (Column Headings)<a class="anchor" aria-label="anchor" href="#selecting-data-using-labels-column-headings"></a></h2>
 <hr class="half-width"><p>We use square brackets <code>[]</code> to select a subset of a Python
 object. For example, we can select all data from a column named
 <code>species_id</code> from the <code>surveys_df</code> DataFrame by
@@ -488,8 +485,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="bell"></i>
 </div>
 <div id="reminder" class="callout-inner">
-<h3 class="callout-title">Reminder<a class="anchor" aria-label="anchor" href="#reminder"></a>
-</h3>
+<h3 class="callout-title">Reminder</h3>
 <div class="callout-content">
 <p>The Python language and its modules (such as Pandas) define reserved
 words that should not be used as identifiers when assigning objects and
@@ -507,15 +503,13 @@ <h3 class="callout-title">Reminder<a class="anchor" aria-label="anchor" href="#r
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="extracting-range-based-subsets-slicing">Extracting Range based Subsets: Slicing<a class="anchor" aria-label="anchor" href="#extracting-range-based-subsets-slicing"></a>
-<a class="anchor" aria-label="anchor" href="#extracting-range-based-subsets-slicing"></a></h2>
+</section><section><h2 class="section-heading" id="extracting-range-based-subsets-slicing">Extracting Range based Subsets: Slicing<a class="anchor" aria-label="anchor" href="#extracting-range-based-subsets-slicing"></a></h2>
 <hr class="half-width"><div id="reminder-1" class="callout">
 <div class="callout-square">
 <i class="callout-icon" data-feather="bell"></i>
 </div>
 <div id="reminder-1" class="callout-inner">
-<h3 class="callout-title">Reminder<a class="anchor" aria-label="anchor" href="#reminder-1"></a>
-</h3>
+<h3 class="callout-title">Reminder</h3>
 <div class="callout-content">
 <p>Python uses 0-based indexing.</p>
 </div>
@@ -537,8 +531,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---extracting-data" class="callout-inner">
-<h3 class="callout-title">Challenge - Extracting data<a class="anchor" aria-label="anchor" href="#challenge---extracting-data"></a>
-</h3>
+<h3 class="callout-title">Challenge - Extracting data</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li>
 <p>What value does the code below return?</p>
@@ -574,7 +567,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
 <div class="accordion-body">
 <ol style="list-style-type: decimal"><li><p><code>a[0]</code> returns <code>1</code>, as Python starts with
 element 0 (this may be different from what you have previously
@@ -603,8 +596,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="slicing-subsets-of-rows-in-python">Slicing Subsets of Rows in Python<a class="anchor" aria-label="anchor" href="#slicing-subsets-of-rows-in-python"></a>
-<a class="anchor" aria-label="anchor" href="#slicing-subsets-of-rows-in-python"></a></h2>
+</section><section><h2 class="section-heading" id="slicing-subsets-of-rows-in-python">Slicing Subsets of Rows in Python<a class="anchor" aria-label="anchor" href="#slicing-subsets-of-rows-in-python"></a></h2>
 <hr class="half-width"><p>Slicing using the <code>[]</code> operator selects a set of rows
 and/or columns from a DataFrame. To slice out a set of rows, you use the
 following syntax: <code>data[start:stop]</code>. When slicing in pandas
@@ -633,8 +625,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <p>But before we do that, let’s look at the difference between the
 concept of copying objects and the concept of referencing objects in
 Python.</p>
-</section><section><h2 class="section-heading" id="copying-objects-vs-referencing-objects-in-python">Copying Objects vs Referencing Objects in Python<a class="anchor" aria-label="anchor" href="#copying-objects-vs-referencing-objects-in-python"></a>
-<a class="anchor" aria-label="anchor" href="#copying-objects-vs-referencing-objects-in-python"></a></h2>
+</section><section><h2 class="section-heading" id="copying-objects-vs-referencing-objects-in-python">Copying Objects vs Referencing Objects in Python<a class="anchor" aria-label="anchor" href="#copying-objects-vs-referencing-objects-in-python"></a></h2>
 <hr class="half-width"><p>Let’s start with an example:</p>
 <div class="codewrapper sourceCode" id="cb13">
 <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -715,8 +706,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </h3>
 <pre class="sourceCode python" tabindex="0"><code class="sourceCode python"><span id="cb18-1"><a href="#cb18-1" tabindex="-1"></a>surveys_df <span class="op">=</span> pd.read_csv(<span class="st">"data/surveys.csv"</span>)</span></code></pre>
 </div>
-</section><section><h2 class="section-heading" id="slicing-subsets-of-rows-and-columns-in-python">Slicing Subsets of Rows and Columns in Python<a class="anchor" aria-label="anchor" href="#slicing-subsets-of-rows-and-columns-in-python"></a>
-<a class="anchor" aria-label="anchor" href="#slicing-subsets-of-rows-and-columns-in-python"></a></h2>
+</section><section><h2 class="section-heading" id="slicing-subsets-of-rows-and-columns-in-python">Slicing Subsets of Rows and Columns in Python<a class="anchor" aria-label="anchor" href="#slicing-subsets-of-rows-and-columns-in-python"></a></h2>
 <hr class="half-width"><p>We can select specific ranges of our data in both the row and column
 directions using either label or integer-based indexing.</p>
 <ul><li><p><code>iloc</code> is primarily an <em>integer</em> based indexing
@@ -816,8 +806,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---range" class="callout-inner">
-<h3 class="callout-title">Challenge - Range<a class="anchor" aria-label="anchor" href="#challenge---range"></a>
-</h3>
+<h3 class="callout-title">Challenge - Range</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li>What happens when you execute:
 <ul><li><code>surveys_df[0:1]</code></li>
@@ -841,7 +830,7 @@ <h3 class="callout-title">Challenge - Range<a class="anchor" aria-label="anchor"
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution2" aria-expanded="false" aria-controls="collapseSolution2">
   <h4 class="accordion-header" id="headingSolution2"> Selection Challenges </h4>
 </button>
-<div id="collapseSolution2" class="accordion-collapse collapse" data-bs-parent="#accordionSolution2" aria-labelledby="headingSolution2">
+<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
 <div class="accordion-body">
 <ol style="list-style-type: decimal"><li>
 <ul><li>
@@ -904,8 +893,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="subsetting-data-using-criteria">Subsetting Data using Criteria<a class="anchor" aria-label="anchor" href="#subsetting-data-using-criteria"></a>
-<a class="anchor" aria-label="anchor" href="#subsetting-data-using-criteria"></a></h2>
+</section><section><h2 class="section-heading" id="subsetting-data-using-criteria">Subsetting Data using Criteria<a class="anchor" aria-label="anchor" href="#subsetting-data-using-criteria"></a></h2>
 <hr class="half-width"><p>We can also select a subset of our data using criteria. For example,
 we can select all rows that have a year value of 2002:</p>
 <div class="codewrapper sourceCode" id="cb27">
@@ -966,8 +954,7 @@ <h3 id="python-syntax-cheat-sheet">Python Syntax Cheat Sheet<a class="anchor" ar
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---queries" class="callout-inner">
-<h3 class="callout-title">Challenge - Queries<a class="anchor" aria-label="anchor" href="#challenge---queries"></a>
-</h3>
+<h3 class="callout-title">Challenge - Queries</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li><p>Select a subset of rows in the <code>surveys_df</code> DataFrame
 that contain data from the year 1999 and that contain weight values less
@@ -999,7 +986,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution3" aria-expanded="false" aria-controls="collapseSolution3">
   <h4 class="accordion-header" id="headingSolution3"> Show me the solution </h4>
 </button>
-<div id="collapseSolution3" class="accordion-collapse collapse" data-bs-parent="#accordionSolution3" aria-labelledby="headingSolution3">
+<div id="collapseSolution3" class="accordion-collapse collapse" aria-labelledby="headingSolution3" data-bs-parent="#accordionSolution3">
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 <div class="codewrapper sourceCode" id="cb32">
@@ -1086,8 +1073,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 
 </div>
-</section><section><h2 class="section-heading" id="using-masks-to-identify-a-specific-condition">Using masks to identify a specific condition<a class="anchor" aria-label="anchor" href="#using-masks-to-identify-a-specific-condition"></a>
-<a class="anchor" aria-label="anchor" href="#using-masks-to-identify-a-specific-condition"></a></h2>
+</section><section><h2 class="section-heading" id="using-masks-to-identify-a-specific-condition">Using masks to identify a specific condition<a class="anchor" aria-label="anchor" href="#using-masks-to-identify-a-specific-condition"></a></h2>
 <hr class="half-width"><p>A <strong>mask</strong> can be useful to locate where a particular
 subset of values exist or don’t exist - for example, NaN, or “Not a
 Number” values. To understand masks, we also need to understand
@@ -1170,8 +1156,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---putting-it-all-together" class="callout-inner">
-<h3 class="callout-title">Challenge - Putting it all together<a class="anchor" aria-label="anchor" href="#challenge---putting-it-all-together"></a>
-</h3>
+<h3 class="callout-title">Challenge - Putting it all together</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li>Create a new DataFrame that only contains observations with sex
 values that are <strong>not</strong> female or male. Print the number of
@@ -1190,7 +1175,7 @@ <h3 class="callout-title">Challenge - Putting it all together<a class="anchor" a
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution4" aria-expanded="false" aria-controls="collapseSolution4">
   <h4 class="accordion-header" id="headingSolution4"> Show me the solution </h4>
 </button>
-<div id="collapseSolution4" class="accordion-collapse collapse" data-bs-parent="#accordionSolution4" aria-labelledby="headingSolution4">
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@@ -1236,8 +1221,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
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 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul><li>In Python, portions of data can be accessed using indices, slices,
 column headings, and condition-based subsetting.</li>
@@ -1284,7 +1268,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
         <p>Materials licensed under <a href="LICENSE.html">CC-BY 4.0</a> by the authors</p>
 
         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
-        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.5" class="external-link">sandpaper (0.16.5)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.3" class="external-link">varnish (1.0.3)</a></p>
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 		</footer></div> <!-- / div.container -->
 	<div id="to-top">
@@ -1307,7 +1291,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/03-index-slice-subset.html",
   "dateCreated": "2015-03-19",
   "dateModified": "2024-02-26",
-  "datePublished": "2024-08-20"
+  "datePublished": "2024-08-27"
 }
 
   </script><script>
diff --git a/04-data-types-and-format.html b/04-data-types-and-format.html
index 9ebda3479..2e416d1d4 100644
--- a/04-data-types-and-format.html
+++ b/04-data-types-and-format.html
@@ -306,10 +306,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
                     RESOURCES
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-            <hr class="half-width resources"><a href="aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
@@ -411,14 +411,12 @@ <h3 class="card-title">Objectives</h3>
 error.</p>
 <p>In this lesson we will review ways to explore and better understand
 the structure and format of our data.</p>
-<section><h2 class="section-heading" id="types-of-data">Types of Data<a class="anchor" aria-label="anchor" href="#types-of-data"></a>
-<a class="anchor" aria-label="anchor" href="#types-of-data"></a></h2>
+<section><h2 class="section-heading" id="types-of-data">Types of Data<a class="anchor" aria-label="anchor" href="#types-of-data"></a></h2>
 <hr class="half-width"><p>How information is stored in a DataFrame or a Python object affects
 what we can do with it and the outputs of calculations as well. There
 are two main types of data that we will explore in this lesson: numeric
 and text data types.</p>
-</section><section><h2 class="section-heading" id="numeric-data-types">Numeric Data Types<a class="anchor" aria-label="anchor" href="#numeric-data-types"></a>
-<a class="anchor" aria-label="anchor" href="#numeric-data-types"></a></h2>
+</section><section><h2 class="section-heading" id="numeric-data-types">Numeric Data Types<a class="anchor" aria-label="anchor" href="#numeric-data-types"></a></h2>
 <hr class="half-width"><p>Numeric data types include integers and floats. A <strong>floating
 point</strong> (known as a float) number has decimal points even if that
 decimal point value is 0. For example: 1.13, 2.0, 1234.345. If we have a
@@ -433,8 +431,7 @@ <h3 class="card-title">Objectives</h3>
 effectively relates to how many digits it can store in each “cell”.
 Allocating space ahead of time allows computers to optimize storage and
 processing efficiency.</p>
-</section><section><h2 class="section-heading" id="text-data-type">Text Data Type<a class="anchor" aria-label="anchor" href="#text-data-type"></a>
-<a class="anchor" aria-label="anchor" href="#text-data-type"></a></h2>
+</section><section><h2 class="section-heading" id="text-data-type">Text Data Type<a class="anchor" aria-label="anchor" href="#text-data-type"></a></h2>
 <hr class="half-width"><p>The text data type is known as a <em>string</em> in Python, or
 <em>object</em> in pandas. Strings can contain numbers and / or
 characters. For example, a string might be a word, a sentence, or
@@ -466,8 +463,7 @@ <h3 class="card-title">Objectives</h3>
 module in Python’s standard library)</td>
 <td>Values meant to hold time data. Look into these for time series
 experiments.</td>
-</tr></tbody></table></section><section><h2 class="section-heading" id="checking-the-format-of-our-data">Checking the format of our data<a class="anchor" aria-label="anchor" href="#checking-the-format-of-our-data"></a>
-<a class="anchor" aria-label="anchor" href="#checking-the-format-of-our-data"></a></h2>
+</tr></tbody></table></section><section><h2 class="section-heading" id="checking-the-format-of-our-data">Checking the format of our data<a class="anchor" aria-label="anchor" href="#checking-the-format-of-our-data"></a></h2>
 <hr class="half-width"><p>Now that we’re armed with a basic understanding of numeric and text
 data types, let’s explore the format of our survey data. We’ll be
 working with the same <code>surveys.csv</code> dataset that we’ve used
@@ -546,8 +542,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 But the <code>weight</code> column is a floating point value which means
 it contains decimals. The <code>species_id</code> and <code>sex</code>
 columns are objects which means they contain strings.</p>
-</section><section><h2 class="section-heading" id="working-with-integers-and-floats">Working With Integers and Floats<a class="anchor" aria-label="anchor" href="#working-with-integers-and-floats"></a>
-<a class="anchor" aria-label="anchor" href="#working-with-integers-and-floats"></a></h2>
+</section><section><h2 class="section-heading" id="working-with-integers-and-floats">Working With Integers and Floats<a class="anchor" aria-label="anchor" href="#working-with-integers-and-floats"></a></h2>
 <hr class="half-width"><p>So we’ve learned that computers store numbers in one of two ways: as
 integers or as floating-point numbers (or floats). Integers are the
 numbers we usually count with. Floats have fractional parts (decimal
@@ -624,8 +619,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </h3>
 <pre class="output" tabindex="0"><code><span><span class="fl">7.0</span></span></code></pre>
 </div>
-</section><section><h2 class="section-heading" id="working-with-our-survey-data">Working With Our Survey Data<a class="anchor" aria-label="anchor" href="#working-with-our-survey-data"></a>
-<a class="anchor" aria-label="anchor" href="#working-with-our-survey-data"></a></h2>
+</section><section><h2 class="section-heading" id="working-with-our-survey-data">Working With Our Survey Data<a class="anchor" aria-label="anchor" href="#working-with-our-survey-data"></a></h2>
 <hr class="half-width"><p>Getting back to our data, we can modify the format of values within
 our data, if we want. For instance, we could convert the
 <code>record_id</code> field to floating point values.</p>
@@ -646,8 +640,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="changing-types" class="callout-inner">
-<h3 class="callout-title">Changing Types<a class="anchor" aria-label="anchor" href="#changing-types"></a>
-</h3>
+<h3 class="callout-title">Changing Types</h3>
 <div class="callout-content">
 <p>Try converting the column <code>plot_id</code> to floats using</p>
 <div class="codewrapper sourceCode" id="cb24">
@@ -666,7 +659,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
 <div class="accordion-body">
 <div class="codewrapper sourceCode" id="cb25">
 <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -704,8 +697,7 @@ <h3 class="code-label">ERROR<i aria-hidden="true" data-feather="chevron-left"></
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="missing-data-values---nan">Missing Data Values - NaN<a class="anchor" aria-label="anchor" href="#missing-data-values---nan"></a>
-<a class="anchor" aria-label="anchor" href="#missing-data-values---nan"></a></h2>
+</section><section><h2 class="section-heading" id="missing-data-values---nan">Missing Data Values - NaN<a class="anchor" aria-label="anchor" href="#missing-data-values---nan"></a></h2>
 <hr class="half-width"><p>What happened in the last challenge activity? Notice that this raises
 a casting error:
 <code>pandas.errors.IntCastingNaNError: Cannot convert non-finite values (NA or inf) to integer</code>
@@ -803,8 +795,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="counting" class="callout-inner">
-<h3 class="callout-title">Counting<a class="anchor" aria-label="anchor" href="#counting"></a>
-</h3>
+<h3 class="callout-title">Counting</h3>
 <div class="callout-content">
 <p>Count the number of missing values per column.</p>
 </div>
@@ -815,7 +806,7 @@ <h3 class="callout-title">Counting<a class="anchor" aria-label="anchor" href="#c
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution3" aria-expanded="false" aria-controls="collapseSolution3">
   <h4 class="accordion-header" id="headingSolution3"> Hints </h4>
 </button>
-<div id="collapseSolution3" class="accordion-collapse collapse" aria-labelledby="headingSolution3" data-bs-parent="#accordionSolution3">
+<div id="collapseSolution3" class="accordion-collapse collapse" data-bs-parent="#accordionSolution3" aria-labelledby="headingSolution3">
 <div class="accordion-body">
 <p>The method <code>.count()</code> gives you the number of non-NaN
 observations per column. Try looking to the <code>.isna()</code>
@@ -825,7 +816,7 @@ <h4 class="accordion-header" id="headingSolution3"> Hints </h4>
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution2" aria-expanded="false" aria-controls="collapseSolution2">
   <h4 class="accordion-header" id="headingSolution2"> Show me the solution </h4>
 </button>
-<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
+<div id="collapseSolution2" class="accordion-collapse collapse" data-bs-parent="#accordionSolution2" aria-labelledby="headingSolution2">
 <div class="accordion-body">
 <div class="codewrapper sourceCode" id="cb36">
 <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -865,8 +856,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="writing-out-data-to-csv">Writing Out Data to CSV<a class="anchor" aria-label="anchor" href="#writing-out-data-to-csv"></a>
-<a class="anchor" aria-label="anchor" href="#writing-out-data-to-csv"></a></h2>
+</section><section><h2 class="section-heading" id="writing-out-data-to-csv">Writing Out Data to CSV<a class="anchor" aria-label="anchor" href="#writing-out-data-to-csv"></a></h2>
 <hr class="half-width"><p>We’ve learned about manipulating data to get desired outputs. But
 we’ve also discussed keeping data that has been manipulated separate
 from our raw data. Something we might be interested in doing is working
@@ -906,8 +896,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 can open it! If you want, try to bring it back into Python to make sure
 it imports properly.</p>
 
-</section><section><h2 class="section-heading" id="recap">Recap<a class="anchor" aria-label="anchor" href="#recap"></a>
-<a class="anchor" aria-label="anchor" href="#recap"></a></h2>
+</section><section><h2 class="section-heading" id="recap">Recap<a class="anchor" aria-label="anchor" href="#recap"></a></h2>
 <hr class="half-width"><p>What we’ve learned:</p>
 <ul><li>How to explore the data types of columns within a DataFrame</li>
 <li>How to change the data type</li>
@@ -921,8 +910,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul><li>pandas uses other names for data types than Python, for example:
 <code>object</code> for textual data.</li>
@@ -971,7 +959,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
         <p>Materials licensed under <a href="LICENSE.html">CC-BY 4.0</a> by the authors</p>
 
         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
-        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.5" class="external-link">sandpaper (0.16.5)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.3" class="external-link">varnish (1.0.3)</a></p>
+        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.6" class="external-link">sandpaper (0.16.6)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.4" class="external-link">varnish (1.0.4)</a></p>
 			</div>
 		</footer></div> <!-- / div.container -->
 	<div id="to-top">
@@ -994,7 +982,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/04-data-types-and-format.html",
   "dateCreated": "2015-03-19",
   "dateModified": "2023-06-05",
-  "datePublished": "2024-08-20"
+  "datePublished": "2024-08-27"
 }
 
   </script><script>
diff --git a/05-merging-data.html b/05-merging-data.html
index b9cbeb8c6..ba40a466e 100644
--- a/05-merging-data.html
+++ b/05-merging-data.html
@@ -300,10 +300,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
                     RESOURCES
                   </button>
                 </h2>
@@ -323,7 +323,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
                 </div>
               </div>
             </div>
-            <hr class="half-width resources"><a href="aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
@@ -462,8 +462,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 behaviour of <code>read_csv</code>. <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html#pandas.read_csv" class="external-link">More
 about all of the <code>read_csv</code> options here and their
 defaults.</a></p>
-<section><h2 class="section-heading" id="concatenating-dataframes">Concatenating DataFrames<a class="anchor" aria-label="anchor" href="#concatenating-dataframes"></a>
-<a class="anchor" aria-label="anchor" href="#concatenating-dataframes"></a></h2>
+<section><h2 class="section-heading" id="concatenating-dataframes">Concatenating DataFrames<a class="anchor" aria-label="anchor" href="#concatenating-dataframes"></a></h2>
 <hr class="half-width"><p>We can use the <code>concat</code> function in pandas to append
 either columns or rows from one DataFrame to another. Let’s grab two
 subsets of our data to see how this works.</p>
@@ -533,8 +532,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---combine-data" class="callout-inner">
-<h3 class="callout-title">Challenge - Combine Data<a class="anchor" aria-label="anchor" href="#challenge---combine-data"></a>
-</h3>
+<h3 class="callout-title">Challenge - Combine Data</h3>
 <div class="callout-content">
 <p>In the data folder, there is another folder called
 <code>yearly_files</code> that contains survey data broken down into
@@ -582,8 +580,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="joining-dataframes">Joining DataFrames<a class="anchor" aria-label="anchor" href="#joining-dataframes"></a>
-<a class="anchor" aria-label="anchor" href="#joining-dataframes"></a></h2>
+</section><section><h2 class="section-heading" id="joining-dataframes">Joining DataFrames<a class="anchor" aria-label="anchor" href="#joining-dataframes"></a></h2>
 <hr class="half-width"><p>When we concatenated our DataFrames, we simply added them to each
 other - stacking them either vertically or side by side. Another way to
 combine DataFrames is to use columns in each dataset that contain common
@@ -872,15 +869,13 @@ <h3 id="other-join-types">Other join types<a class="anchor" aria-label="anchor"
 and Cross Join in Pandas DataFrame</a>
 </li>
 </ul></div>
-</section><section><h2 class="section-heading" id="final-challenges">Final Challenges<a class="anchor" aria-label="anchor" href="#final-challenges"></a>
-<a class="anchor" aria-label="anchor" href="#final-challenges"></a></h2>
+</section><section><h2 class="section-heading" id="final-challenges">Final Challenges<a class="anchor" aria-label="anchor" href="#final-challenges"></a></h2>
 <hr class="half-width"><div id="challenge---distributions" class="callout challenge">
 <div class="callout-square">
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---distributions" class="callout-inner">
-<h3 class="callout-title">Challenge - Distributions<a class="anchor" aria-label="anchor" href="#challenge---distributions"></a>
-</h3>
+<h3 class="callout-title">Challenge - Distributions</h3>
 <div class="callout-content">
 <p>Create a new DataFrame by joining the contents of the
 <code>surveys.csv</code> and <code>species.csv</code> tables. Then
@@ -938,8 +933,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---diversity-index" class="callout-inner">
-<h3 class="callout-title">Challenge - Diversity Index<a class="anchor" aria-label="anchor" href="#challenge---diversity-index"></a>
-</h3>
+<h3 class="callout-title">Challenge - Diversity Index</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li><p>In the data folder, there is a <code>plots.csv</code> file that
 contains information about the type associated with each plot. Use that
@@ -997,8 +991,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul><li>Pandas’ <code>merge</code> and <code>concat</code> can be used to
 combine subsets of a DataFrame, or even data from different files.</li>
@@ -1049,7 +1042,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
         <p>Materials licensed under <a href="LICENSE.html">CC-BY 4.0</a> by the authors</p>
 
         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
-        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.5" class="external-link">sandpaper (0.16.5)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.3" class="external-link">varnish (1.0.3)</a></p>
+        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.6" class="external-link">sandpaper (0.16.6)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.4" class="external-link">varnish (1.0.4)</a></p>
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 		</footer></div> <!-- / div.container -->
 	<div id="to-top">
@@ -1072,7 +1065,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/05-merging-data.html",
   "dateCreated": "2015-03-19",
   "dateModified": "2024-02-21",
-  "datePublished": "2024-08-20"
+  "datePublished": "2024-08-27"
 }
 
   </script><script>
diff --git a/06-loops-and-functions.html b/06-loops-and-functions.html
index 6103d5350..d088050b1 100644
--- a/06-loops-and-functions.html
+++ b/06-loops-and-functions.html
@@ -302,10 +302,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
                     RESOURCES
                   </button>
                 </h2>
@@ -325,7 +325,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
                 </div>
               </div>
             </div>
-            <hr class="half-width resources"><a href="aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
@@ -399,8 +399,7 @@ <h3 class="card-title">Objectives</h3>
 spreadsheet. The beauty of using a programming language like Python,
 though, comes from the ability to automate data processing through the
 use of loops and functions.</p>
-<section><h2 class="section-heading" id="for-loops">For loops<a class="anchor" aria-label="anchor" href="#for-loops"></a>
-<a class="anchor" aria-label="anchor" href="#for-loops"></a></h2>
+<section><h2 class="section-heading" id="for-loops">For loops<a class="anchor" aria-label="anchor" href="#for-loops"></a></h2>
 <hr class="half-width"><p>Loops allow us to repeat a workflow (or series of actions) a given
 number of times or while some condition is true. We would use a loop to
 automatically process data that’s stored in multiple files (daily values
@@ -475,8 +474,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---loops" class="callout-inner">
-<h3 class="callout-title">Challenge - Loops<a class="anchor" aria-label="anchor" href="#challenge---loops"></a>
-</h3>
+<h3 class="callout-title">Challenge - Loops</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li><p>What happens if we don’t include the <code>pass</code>
 statement?</p></li>
@@ -539,8 +537,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="automating-data-processing-using-for-loops">Automating data processing using For Loops<a class="anchor" aria-label="anchor" href="#automating-data-processing-using-for-loops"></a>
-<a class="anchor" aria-label="anchor" href="#automating-data-processing-using-for-loops"></a></h2>
+</section><section><h2 class="section-heading" id="automating-data-processing-using-for-loops">Automating data processing using For Loops<a class="anchor" aria-label="anchor" href="#automating-data-processing-using-for-loops"></a></h2>
 <hr class="half-width"><p>The file we’ve been using so far, <code>surveys.csv</code>, contains
 25 years of data and is very large. We would like to separate the data
 for each year into a separate file.</p>
@@ -697,8 +694,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <p>Look inside the <code>yearly_files</code> directory and check a
 couple of the files you just created to confirm that everything worked
 as expected.</p>
-</section><section><h2 class="section-heading" id="writing-unique-file-names">Writing Unique File Names<a class="anchor" aria-label="anchor" href="#writing-unique-file-names"></a>
-<a class="anchor" aria-label="anchor" href="#writing-unique-file-names"></a></h2>
+</section><section><h2 class="section-heading" id="writing-unique-file-names">Writing Unique File Names<a class="anchor" aria-label="anchor" href="#writing-unique-file-names"></a></h2>
 <hr class="half-width"><p>Notice that the code above created a unique filename for each
 year.</p>
 <div class="codewrapper sourceCode" id="cb26">
@@ -727,8 +723,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---modifying-loops" class="callout-inner">
-<h3 class="callout-title">Challenge - Modifying loops<a class="anchor" aria-label="anchor" href="#challenge---modifying-loops"></a>
-</h3>
+<h3 class="callout-title">Challenge - Modifying loops</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li><p>Some of the surveys you saved are missing data (they have null
 values that show up as NaN - Not A Number - in the DataFrames and do not
@@ -784,8 +779,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="building-reusable-and-modular-code-with-functions">Building reusable and modular code with functions<a class="anchor" aria-label="anchor" href="#building-reusable-and-modular-code-with-functions"></a>
-<a class="anchor" aria-label="anchor" href="#building-reusable-and-modular-code-with-functions"></a></h2>
+</section><section><h2 class="section-heading" id="building-reusable-and-modular-code-with-functions">Building reusable and modular code with functions<a class="anchor" aria-label="anchor" href="#building-reusable-and-modular-code-with-functions"></a></h2>
 <hr class="half-width"><p>Suppose that separating large data files into individual yearly files
 is a task that we frequently have to perform. We could write a
 <strong>for loop</strong> like the one above every time we needed to do
@@ -849,8 +843,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---functions" class="callout-inner">
-<h3 class="callout-title">Challenge - Functions<a class="anchor" aria-label="anchor" href="#challenge---functions"></a>
-</h3>
+<h3 class="callout-title">Challenge - Functions</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li>Change the values of the arguments provided to the function and
 check its output</li>
@@ -1107,8 +1100,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge-more-functions" class="callout-inner">
-<h3 class="callout-title">Challenge: More functions<a class="anchor" aria-label="anchor" href="#challenge-more-functions"></a>
-</h3>
+<h3 class="callout-title">Challenge: More functions</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li>Add two arguments to the functions we wrote that take the path of
 the directory where the files will be written and the root of the file
@@ -1305,8 +1297,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---variables" class="callout-inner">
-<h3 class="callout-title">Challenge - Variables<a class="anchor" aria-label="anchor" href="#challenge---variables"></a>
-</h3>
+<h3 class="callout-title">Challenge - Variables</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li>What type of object corresponds to a variable declared as
 <code>None</code>? (Hint: create a variable set to <code>None</code> and
@@ -1406,8 +1397,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="if-statements">If Statements<a class="anchor" aria-label="anchor" href="#if-statements"></a>
-<a class="anchor" aria-label="anchor" href="#if-statements"></a></h2>
+</section><section><h2 class="section-heading" id="if-statements">If Statements<a class="anchor" aria-label="anchor" href="#if-statements"></a></h2>
 <hr class="half-width"><p>The body of the test function now has two conditionals (if
 statements) that check the values of <code>start_year</code> and
 <code>end_year</code>. If statements execute a segment of code when some
@@ -1499,8 +1489,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---modifying-functions" class="callout-inner">
-<h3 class="callout-title">Challenge - Modifying functions<a class="anchor" aria-label="anchor" href="#challenge---modifying-functions"></a>
-</h3>
+<h3 class="callout-title">Challenge - Modifying functions</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li><p>Rewrite the <code>one_year_csv_writer</code> and
 <code>yearly_data_csv_writer</code> functions to have keyword arguments
@@ -1687,8 +1676,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul><li>Loops help automate repetitive tasks over sets of items.</li>
 <li>Loops combined with functions provide a way to process data more
@@ -1735,7 +1723,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
         <p>Materials licensed under <a href="LICENSE.html">CC-BY 4.0</a> by the authors</p>
 
         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
-        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.5" class="external-link">sandpaper (0.16.5)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.3" class="external-link">varnish (1.0.3)</a></p>
+        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.6" class="external-link">sandpaper (0.16.6)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.4" class="external-link">varnish (1.0.4)</a></p>
 			</div>
 		</footer></div> <!-- / div.container -->
 	<div id="to-top">
@@ -1758,7 +1746,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/06-loops-and-functions.html",
   "dateCreated": "2015-03-19",
   "dateModified": "2023-05-18",
-  "datePublished": "2024-08-20"
+  "datePublished": "2024-08-27"
 }
 
   </script><script>
diff --git a/07-visualization-ggplot-python.html b/07-visualization-ggplot-python.html
index 925c94663..e080e8b05 100644
--- a/07-visualization-ggplot-python.html
+++ b/07-visualization-ggplot-python.html
@@ -304,10 +304,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
                     RESOURCES
                   </button>
                 </h2>
@@ -327,7 +327,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
                 </div>
               </div>
             </div>
-            <hr class="half-width resources"><a href="aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
@@ -401,8 +401,7 @@ <h3 class="card-title">Objectives</h3>
 </div>
 </div>
 </div>
-<section><h2 class="section-heading" id="disclaimer">Disclaimer<a class="anchor" aria-label="anchor" href="#disclaimer"></a>
-<a class="anchor" aria-label="anchor" href="#disclaimer"></a></h2>
+<section><h2 class="section-heading" id="disclaimer">Disclaimer<a class="anchor" aria-label="anchor" href="#disclaimer"></a></h2>
 <hr class="half-width"><p>Python has powerful built-in plotting capabilities such as
 <code>matplotlib</code>, but for this episode, we will be using the <a href="https://github.com/has2k1/plotnine?tab=readme-ov-file" class="external-link">plotnine</a>
 package, which facilitates the creation of highly-informative plots of
@@ -415,8 +414,7 @@ <h3 class="card-title">Objectives</h3>
 <i class="callout-icon" data-feather="bell"></i>
 </div>
 <div id="reminder" class="callout-inner">
-<h3 class="callout-title">Reminder<a class="anchor" aria-label="anchor" href="#reminder"></a>
-</h3>
+<h3 class="callout-title">Reminder</h3>
 <div class="callout-content">
 <p><code>plotnine</code> is not included in the standard Anaconda
 installation and needs to be installed separately. If you haven’t done
@@ -448,8 +446,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <span id="cb2-4"><a href="#cb2-4" tabindex="-1"></a>surveys_complete <span class="op">=</span> surveys_complete.dropna()</span></code></pre>
 </div>
 
-</section><section><h2 class="section-heading" id="plotting-with-plotnine">Plotting with plotnine<a class="anchor" aria-label="anchor" href="#plotting-with-plotnine"></a>
-<a class="anchor" aria-label="anchor" href="#plotting-with-plotnine"></a></h2>
+</section><section><h2 class="section-heading" id="plotting-with-plotnine">Plotting with plotnine<a class="anchor" aria-label="anchor" href="#plotting-with-plotnine"></a></h2>
 <hr class="half-width"><p>The <code>plotnine</code> package (cfr. other packages conform The
 Grammar of Graphics) supports the creation of complex plots from data in
 a dataframe. It uses default settings, which help creating publication
@@ -517,8 +514,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---bar-chart" class="callout-inner">
-<h3 class="callout-title">Challenge - bar chart<a class="anchor" aria-label="anchor" href="#challenge---bar-chart"></a>
-</h3>
+<h3 class="callout-title">Challenge - bar chart</h3>
 <div class="callout-content">
 <p>Working on the <code>surveys_complete</code> data set, use the
 <code>plot-id</code> column to create a <code>bar</code>-plot that
@@ -554,8 +550,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <li>You can also specify aesthetics for a given <code>geom</code>
 independently of the aesthetics defined globally in the
 <code>ggplot()</code> function.</li>
-</ul></section><section><h2 class="section-heading" id="building-your-plots-iteratively">Building your plots iteratively<a class="anchor" aria-label="anchor" href="#building-your-plots-iteratively"></a>
-<a class="anchor" aria-label="anchor" href="#building-your-plots-iteratively"></a></h2>
+</ul></section><section><h2 class="section-heading" id="building-your-plots-iteratively">Building your plots iteratively<a class="anchor" aria-label="anchor" href="#building-your-plots-iteratively"></a></h2>
 <hr class="half-width"><p>Building plots with <code>plotnine</code> is typically an iterative
 process. We start by defining the dataset we’ll use, lay the axes, and
 choose a geom. Hence, the <code>data</code>, <code>aes</code> and
@@ -647,8 +642,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---bar-plot-adaptations" class="callout-inner">
-<h3 class="callout-title">Challenge - Bar plot adaptations<a class="anchor" aria-label="anchor" href="#challenge---bar-plot-adaptations"></a>
-</h3>
+<h3 class="callout-title">Challenge - Bar plot adaptations</h3>
 <div class="callout-content">
 <p>Adapt the bar plot of the previous exercise by mapping the
 <code>sex</code> variable to the color fill of the bar chart. Change the
@@ -679,8 +673,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="plotting-distributions">Plotting distributions<a class="anchor" aria-label="anchor" href="#plotting-distributions"></a>
-<a class="anchor" aria-label="anchor" href="#plotting-distributions"></a></h2>
+</section><section><h2 class="section-heading" id="plotting-distributions">Plotting distributions<a class="anchor" aria-label="anchor" href="#plotting-distributions"></a></h2>
 <hr class="half-width"><p>Visualizing distributions is a common task during data exploration
 and analysis. To visualize the distribution of <code>weight</code>
 within each <code>species_id</code> group, a boxplot can be used:</p>
@@ -711,8 +704,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---distributions" class="callout-inner">
-<h3 class="callout-title">Challenge - distributions<a class="anchor" aria-label="anchor" href="#challenge---distributions"></a>
-</h3>
+<h3 class="callout-title">Challenge - distributions</h3>
 <div class="callout-content">
 <p>Boxplots are useful summaries, but hide the <em>shape</em> of the
 distribution. For example, if there is a bimodal distribution, this
@@ -760,8 +752,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="plotting-time-series-data">Plotting time series data<a class="anchor" aria-label="anchor" href="#plotting-time-series-data"></a>
-<a class="anchor" aria-label="anchor" href="#plotting-time-series-data"></a></h2>
+</section><section><h2 class="section-heading" id="plotting-time-series-data">Plotting time series data<a class="anchor" aria-label="anchor" href="#plotting-time-series-data"></a></h2>
 <hr class="half-width"><p>Let’s calculate the number of counts per year for each species. To do
 that we need to group data first and count the species
 (<code>species_id</code>) within each group.</p>
@@ -806,8 +797,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <span id="cb23-5"><a href="#cb23-5" tabindex="-1"></a>    <span class="op">+</span> p9.geom_line()</span>
 <span id="cb23-6"><a href="#cb23-6" tabindex="-1"></a>)</span></code></pre>
 </div>
-<figure><img src="fig/06_time_plot.png" alt="Line graph of count per year where data for each species is indicated by a different color" class="figure mx-auto d-block"></figure></section><section><h2 class="section-heading" id="faceting">Faceting<a class="anchor" aria-label="anchor" href="#faceting"></a>
-<a class="anchor" aria-label="anchor" href="#faceting"></a></h2>
+<figure><img src="fig/06_time_plot.png" alt="Line graph of count per year where data for each species is indicated by a different color" class="figure mx-auto d-block"></figure></section><section><h2 class="section-heading" id="faceting">Faceting<a class="anchor" aria-label="anchor" href="#faceting"></a></h2>
 <hr class="half-width"><p>As any other library supporting the Grammar of Graphics,
 <code>plotnine</code> has a special technique called <em>faceting</em>
 that allows to split one plot into multiple plots based on a factor
@@ -877,8 +867,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---facetting" class="callout-inner">
-<h3 class="callout-title">Challenge - facetting<a class="anchor" aria-label="anchor" href="#challenge---facetting"></a>
-</h3>
+<h3 class="callout-title">Challenge - facetting</h3>
 <div class="callout-content">
 <p>Create a separate plot for each of the species that depicts how the
 average weight of the species changes through the years.</p>
@@ -910,8 +899,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---facetting-1" class="callout-inner">
-<h3 class="callout-title">Challenge - facetting<a class="anchor" aria-label="anchor" href="#challenge---facetting-1"></a>
-</h3>
+<h3 class="callout-title">Challenge - facetting</h3>
 <div class="callout-content">
 <p>Based on the previous exercise, visually compare how the weights of
 male and females has changed through time by creating a separate plot
@@ -944,8 +932,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="further-customization">Further customization<a class="anchor" aria-label="anchor" href="#further-customization"></a>
-<a class="anchor" aria-label="anchor" href="#further-customization"></a></h2>
+</section><section><h2 class="section-heading" id="further-customization">Further customization<a class="anchor" aria-label="anchor" href="#further-customization"></a></h2>
 <hr class="half-width"><p>As the syntax of <code>plotnine</code> follows the original R package
 <code>ggplot2</code>, the documentation of <code>ggplot2</code> can
 provide information and inspiration to customize graphs. Take a look at
@@ -998,8 +985,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="message-circle"></i>
 </div>
 <div id="challenge---customization" class="callout-inner">
-<h3 class="callout-title">Challenge - customization<a class="anchor" aria-label="anchor" href="#challenge---customization"></a>
-</h3>
+<h3 class="callout-title">Challenge - customization</h3>
 <div class="callout-content">
 <p>Please take another five minutes to either improve one of the plots
 generated in this exercise or create a beautiful graph of your own.</p>
@@ -1029,8 +1015,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul><li>The <code>data</code>, <code>aes</code> variables and a
 <code>geometry</code> are the main elements of a plotnine graph</li>
@@ -1076,7 +1061,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
         <p>Materials licensed under <a href="LICENSE.html">CC-BY 4.0</a> by the authors</p>
 
         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
-        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.5" class="external-link">sandpaper (0.16.5)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.3" class="external-link">varnish (1.0.3)</a></p>
+        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.6" class="external-link">sandpaper (0.16.6)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.4" class="external-link">varnish (1.0.4)</a></p>
 			</div>
 		</footer></div> <!-- / div.container -->
 	<div id="to-top">
@@ -1099,7 +1084,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/07-visualization-ggplot-python.html",
   "dateCreated": "2015-03-19",
   "dateModified": "2024-03-29",
-  "datePublished": "2024-08-20"
+  "datePublished": "2024-08-27"
 }
 
   </script><script>
diff --git a/08-putting-it-all-together.html b/08-putting-it-all-together.html
index 52db267d1..9824d3849 100644
--- a/08-putting-it-all-together.html
+++ b/08-putting-it-all-together.html
@@ -302,10 +302,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
                     RESOURCES
                   </button>
                 </h2>
@@ -325,7 +325,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
                 </div>
               </div>
             </div>
-            <hr class="half-width resources"><a href="aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
@@ -392,8 +392,7 @@ <h3 class="card-title">Objectives</h3>
 </div>
 </div>
 </div>
-<section><h2 class="section-heading" id="putting-it-all-together">Putting it all together<a class="anchor" aria-label="anchor" href="#putting-it-all-together"></a>
-<a class="anchor" aria-label="anchor" href="#putting-it-all-together"></a></h2>
+<section><h2 class="section-heading" id="putting-it-all-together">Putting it all together<a class="anchor" aria-label="anchor" href="#putting-it-all-together"></a></h2>
 <hr class="half-width"><p>Up to this point, we have walked through tasks that are often
 involved in handling and processing data using the workshop-ready
 cleaned files that we have provided. In this wrap-up exercise, we will
@@ -403,8 +402,7 @@ <h3 class="card-title">Objectives</h3>
 step-by-step directions to each of the tasks. Use the lesson materials
 you’ve already gone through as well as the Python documentation to help
 you along.</p>
-</section><section><h2 class="section-heading" id="obtain-data">Obtain data<a class="anchor" aria-label="anchor" href="#obtain-data"></a>
-<a class="anchor" aria-label="anchor" href="#obtain-data"></a></h2>
+</section><section><h2 class="section-heading" id="obtain-data">Obtain data<a class="anchor" aria-label="anchor" href="#obtain-data"></a></h2>
 <hr class="half-width"><p>There are many repositories online from which you can obtain data. We
 are providing you with one data file to use with these exercises, but
 feel free to use any data that is relevant to your research. The file <a href="data/bouldercreek_09_2013.txt"><code>bouldercreek_09_2013.txt</code></a>
@@ -412,8 +410,7 @@ <h3 class="card-title">Objectives</h3>
 cubic feet per second) for a streamgage on Boulder Creek at North 75th
 Street (USGS gage06730200) for 1-30 September 2013. If you’d like to use
 this dataset, please find it in the data folder.</p>
-</section><section><h2 class="section-heading" id="clean-up-your-data-and-open-it-using-python-and-pandas">Clean up your data and open it using Python and Pandas<a class="anchor" aria-label="anchor" href="#clean-up-your-data-and-open-it-using-python-and-pandas"></a>
-<a class="anchor" aria-label="anchor" href="#clean-up-your-data-and-open-it-using-python-and-pandas"></a></h2>
+</section><section><h2 class="section-heading" id="clean-up-your-data-and-open-it-using-python-and-pandas">Clean up your data and open it using Python and Pandas<a class="anchor" aria-label="anchor" href="#clean-up-your-data-and-open-it-using-python-and-pandas"></a></h2>
 <hr class="half-width"><p>To begin, import your data file into Python using Pandas. Did it
 fail? Your data file probably has a header that Pandas does not
 recognize as part of the data table. Remove this header, but do not
@@ -466,8 +463,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 0          100            10
 1          200            20</code></pre>
 </div>
-</section><section><h2 class="section-heading" id="matplotlib-package">Matplotlib package<a class="anchor" aria-label="anchor" href="#matplotlib-package"></a>
-<a class="anchor" aria-label="anchor" href="#matplotlib-package"></a></h2>
+</section><section><h2 class="section-heading" id="matplotlib-package">Matplotlib package<a class="anchor" aria-label="anchor" href="#matplotlib-package"></a></h2>
 <hr class="half-width"><p><a href="https://matplotlib.org/" class="external-link">Matplotlib</a> is a Python package
 that is widely used throughout the scientific Python community to create
 high-quality and publication-ready graphics. It supports a wide range of
@@ -496,8 +492,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="bell"></i>
 </div>
 <div id="tip" class="callout-inner">
-<h3 class="callout-title">Tip<a class="anchor" aria-label="anchor" href="#tip"></a>
-</h3>
+<h3 class="callout-title">Tip</h3>
 <div class="callout-content">
 <p>By default, matplotlib creates a figure in a separate window. When
 using Jupyter notebooks, we can make figures appear in-line within the
@@ -518,8 +513,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="bell"></i>
 </div>
 <div id="tip-1" class="callout-inner">
-<h3 class="callout-title">Tip<a class="anchor" aria-label="anchor" href="#tip-1"></a>
-</h3>
+<h3 class="callout-title">Tip</h3>
 <div class="callout-content">
 <p>Matplotlib itself can be overwhelming, so a useful strategy is to do
 as much as you easily can in a convenience layer, <em>i.e.</em> start
@@ -558,8 +552,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="bell"></i>
 </div>
 <div id="tip-cross-platform-visualization-of-figures" class="callout-inner">
-<h3 class="callout-title">Tip: Cross-Platform Visualization of Figures<a class="anchor" aria-label="anchor" href="#tip-cross-platform-visualization-of-figures"></a>
-</h3>
+<h3 class="callout-title">Tip: Cross-Platform Visualization of Figures</h3>
 <div class="callout-content">
 <p>Jupyter Notebooks make many aspects of data analysis and
 visualization much simpler. This includes doing some of the labor of
@@ -610,8 +603,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="message-circle"></i>
 </div>
 <div id="challenge---drawing-from-distributions" class="callout-inner">
-<h3 class="callout-title">Challenge - Drawing from distributions<a class="anchor" aria-label="anchor" href="#challenge---drawing-from-distributions"></a>
-</h3>
+<h3 class="callout-title">Challenge - Drawing from distributions</h3>
 <div class="callout-content">
 <p>Have a look at <a href="https://docs.scipy.org/doc/numpy/reference/random/index.html" class="external-link"><code>numpy.random</code>
 documentation</a>. Choose a distribution you have no familiarity with,
@@ -666,8 +658,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---pandas-and-matplotlib" class="callout-inner">
-<h3 class="callout-title">Challenge - Pandas and matplotlib<a class="anchor" aria-label="anchor" href="#challenge---pandas-and-matplotlib"></a>
-</h3>
+<h3 class="callout-title">Challenge - Pandas and matplotlib</h3>
 <div class="callout-content">
 <p>Load the streamgage data set with Pandas, subset the week of the 2013
 Front Range flood (September 11 through 15) and create a hydrograph
@@ -736,8 +727,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="bell"></i>
 </div>
 <div id="tip-saving-figures-in-different-formats" class="callout-inner">
-<h3 class="callout-title">Tip: Saving figures in different formats<a class="anchor" aria-label="anchor" href="#tip-saving-figures-in-different-formats"></a>
-</h3>
+<h3 class="callout-title">Tip: Saving figures in different formats</h3>
 <div class="callout-content">
 <p>Matplotlib recognizes the extension used in the filename and supports
 (on most computers) png, pdf, ps, eps and svg formats.</p>
@@ -749,8 +739,7 @@ <h3 class="callout-title">Tip: Saving figures in different formats<a class="anch
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---saving-figure-to-file" class="callout-inner">
-<h3 class="callout-title">Challenge - Saving figure to file<a class="anchor" aria-label="anchor" href="#challenge---saving-figure-to-file"></a>
-</h3>
+<h3 class="callout-title">Challenge - Saving figure to file</h3>
 <div class="callout-content">
 <p>Check the documentation of the <code>savefig</code> method and check
 how you can comply to journals requiring figures as <code>pdf</code>
@@ -777,8 +766,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="make-other-types-of-plots">Make other types of plots:<a class="anchor" aria-label="anchor" href="#make-other-types-of-plots"></a>
-<a class="anchor" aria-label="anchor" href="#make-other-types-of-plots"></a></h2>
+</section><section><h2 class="section-heading" id="make-other-types-of-plots">Make other types of plots:<a class="anchor" aria-label="anchor" href="#make-other-types-of-plots"></a></h2>
 <hr class="half-width"><p>Matplotlib can make many other types of plots in much the same way
 that it makes two-dimensional line plots. Look through the examples in
 <a href="https://matplotlib.org/stable/plot_types/" class="external-link">https://matplotlib.org/stable/plot_types/</a>
@@ -790,8 +778,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="message-circle"></i>
 </div>
 <div id="challenge---final-plot" class="callout-inner">
-<h3 class="callout-title">Challenge - Final Plot<a class="anchor" aria-label="anchor" href="#challenge---final-plot"></a>
-</h3>
+<h3 class="callout-title">Challenge - Final Plot</h3>
 <div class="callout-content">
 <p>Display your data using one or more plot types from the example
 gallery. Which ones to choose will depend on the content of your own
@@ -808,8 +795,7 @@ <h3 class="callout-title">Challenge - Final Plot<a class="anchor" aria-label="an
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul><li>Matplotlib is the engine behind plotnine and Pandas plots.</li>
 <li>The object-based nature of matplotlib plots enables their detailed
@@ -854,7 +840,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
         <p>Materials licensed under <a href="LICENSE.html">CC-BY 4.0</a> by the authors</p>
 
         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
-        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.5" class="external-link">sandpaper (0.16.5)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.3" class="external-link">varnish (1.0.3)</a></p>
+        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.6" class="external-link">sandpaper (0.16.6)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.4" class="external-link">varnish (1.0.4)</a></p>
 			</div>
 		</footer></div> <!-- / div.container -->
 	<div id="to-top">
@@ -877,7 +863,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/08-putting-it-all-together.html",
   "dateCreated": "2015-03-19",
   "dateModified": "2024-01-31",
-  "datePublished": "2024-08-20"
+  "datePublished": "2024-08-27"
 }
 
   </script><script>
diff --git a/09-working-with-sql.html b/09-working-with-sql.html
index 9f6f41e9f..ddde1e541 100644
--- a/09-working-with-sql.html
+++ b/09-working-with-sql.html
@@ -301,10 +301,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
                     RESOURCES
                   </button>
                 </h2>
@@ -324,7 +324,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
                 </div>
               </div>
             </div>
-            <hr class="half-width resources"><a href="aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
@@ -395,8 +395,7 @@ <h3 class="card-title">Objectives</h3>
 </div>
 </div>
 </div>
-<section><h2 class="section-heading" id="python-and-sql">Python and SQL<a class="anchor" aria-label="anchor" href="#python-and-sql"></a>
-<a class="anchor" aria-label="anchor" href="#python-and-sql"></a></h2>
+<section><h2 class="section-heading" id="python-and-sql">Python and SQL<a class="anchor" aria-label="anchor" href="#python-and-sql"></a></h2>
 <hr class="half-width"><p>When you open a CSV in python, and assign it to a variable name, you
 are using your computers memory to save that variable. Accessing data
 from a database like SQL is not only more efficient, but also it allows
@@ -461,8 +460,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <span id="cb2-17"><a href="#cb2-17" tabindex="-1"></a>con.close()</span></code></pre>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="accessing-data-stored-in-sqlite-using-python-and-pandas">Accessing data stored in SQLite using Python and Pandas<a class="anchor" aria-label="anchor" href="#accessing-data-stored-in-sqlite-using-python-and-pandas"></a>
-<a class="anchor" aria-label="anchor" href="#accessing-data-stored-in-sqlite-using-python-and-pandas"></a></h2>
+</section><section><h2 class="section-heading" id="accessing-data-stored-in-sqlite-using-python-and-pandas">Accessing data stored in SQLite using Python and Pandas<a class="anchor" aria-label="anchor" href="#accessing-data-stored-in-sqlite-using-python-and-pandas"></a></h2>
 <hr class="half-width"><p>Using pandas, we can import results of a SQLite query into a
 dataframe. Note that you can use the same SQL commands / syntax that we
 used in the SQLite lesson. An example of using pandas together with
@@ -482,8 +480,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <span id="cb3-10"><a href="#cb3-10" tabindex="-1"></a></span>
 <span id="cb3-11"><a href="#cb3-11" tabindex="-1"></a>con.close()</span></code></pre>
 </div>
-</section><section><h2 class="section-heading" id="storing-data-csv-vs-sqlite">Storing data: CSV vs SQLite<a class="anchor" aria-label="anchor" href="#storing-data-csv-vs-sqlite"></a>
-<a class="anchor" aria-label="anchor" href="#storing-data-csv-vs-sqlite"></a></h2>
+</section><section><h2 class="section-heading" id="storing-data-csv-vs-sqlite">Storing data: CSV vs SQLite<a class="anchor" aria-label="anchor" href="#storing-data-csv-vs-sqlite"></a></h2>
 <hr class="half-width"><p>Storing your data in an SQLite database can provide substantial
 performance improvements when reading/writing compared to CSV. The
 difference in performance becomes more noticeable as the size of the
@@ -494,8 +491,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---sql" class="callout-inner">
-<h3 class="callout-title">Challenge - SQL<a class="anchor" aria-label="anchor" href="#challenge---sql"></a>
-</h3>
+<h3 class="callout-title">Challenge - SQL</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li>Create a query that contains survey data collected between 1998 -
 2001 for observations of sex “male” or “female” that includes
@@ -512,7 +508,7 @@ <h3 class="callout-title">Challenge - SQL<a class="anchor" aria-label="anchor" h
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
 <div class="accordion-body">
 <ol style="list-style-type: decimal"><li>
 <div class="codewrapper sourceCode" id="cb4">
@@ -592,8 +588,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="storing-data-create-new-tables-using-pandas">Storing data: Create new tables using Pandas<a class="anchor" aria-label="anchor" href="#storing-data-create-new-tables-using-pandas"></a>
-<a class="anchor" aria-label="anchor" href="#storing-data-create-new-tables-using-pandas"></a></h2>
+</section><section><h2 class="section-heading" id="storing-data-create-new-tables-using-pandas">Storing data: Create new tables using Pandas<a class="anchor" aria-label="anchor" href="#storing-data-create-new-tables-using-pandas"></a></h2>
 <hr class="half-width"><p>We can also use pandas to create new tables within an SQLite
 database. Here, we re-do an exercise we did before with CSV files using
 our SQLite database. We first read in our survey data, then select only
@@ -623,8 +618,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---saving-your-work" class="callout-inner">
-<h3 class="callout-title">Challenge - Saving your work<a class="anchor" aria-label="anchor" href="#challenge---saving-your-work"></a>
-</h3>
+<h3 class="callout-title">Challenge - Saving your work</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li><p>For each of the challenges in the previous challenge block,
 modify your code to save the results to their own tables in the portal
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+<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
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 <ol style="list-style-type: decimal"><li><div class="codewrapper sourceCode" id="cb9">
 <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
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 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul><li>sqlite3 provides a SQL-like interface to read, query, and write SQL
 databases from Python.</li>
@@ -731,7 +724,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
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@@ -754,7 +747,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
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diff --git a/404.html b/404.html
index 4512a5207..a0edffb46 100644
--- a/404.html
+++ b/404.html
@@ -311,10 +311,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
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                 <h2 class="accordion-header" id="flush-headingTwelve">
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+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
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-            <hr class="half-width resources"><a href="https://datacarpentry.github.io/python-ecology-lesson/aio.html" class="external-link">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="https://datacarpentry.github.io/python-ecology-lesson/aio.html" class="external-link">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
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-<a class="anchor" aria-label="anchor" href="#our-apologies"></a></h2>
+<section><h2 class="section-heading" id="our-apologies">Our apologies!<a class="anchor" aria-label="anchor" href="#our-apologies"></a></h2>
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@@ -389,7 +388,7 @@ <h1>Page not found</h1>
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diff --git a/CODE_OF_CONDUCT.html b/CODE_OF_CONDUCT.html
index b6f4723d1..63e5f97ba 100644
--- a/CODE_OF_CONDUCT.html
+++ b/CODE_OF_CONDUCT.html
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               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
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                 <h2 class="accordion-header" id="flush-headingTwelve">
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                 </div>
               </div>
             </div>
-            <hr class="half-width resources"><a href="aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
@@ -398,7 +398,7 @@ <h1>Contributor Code of Conduct</h1>
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@@ -421,7 +421,7 @@ <h1>Contributor Code of Conduct</h1>
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   "dateCreated": "2015-03-19",
   "dateModified": "2023-05-08",
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diff --git a/CONTRIBUTORS.html b/CONTRIBUTORS.html
index 9d2e48907..ad91c424b 100644
--- a/CONTRIBUTORS.html
+++ b/CONTRIBUTORS.html
@@ -287,10 +287,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
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                 <h2 class="accordion-header" id="flush-headingTwelve">
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+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
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               </div>
             </div>
-            <hr class="half-width resources"><a href="aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
@@ -361,8 +361,7 @@ <h1>About Contributors</h1>
 time materials were refined and they presented again at the UCAR
 Software Engineering Assembly (SEA) conference in Boulder, Colorado by
 Leah Wasser (NEON,Inc) and Mariela Perignon.</p>
-<section><h2 class="section-heading" id="data">Data<a class="anchor" aria-label="anchor" href="#data"></a>
-<a class="anchor" aria-label="anchor" href="#data"></a></h2>
+<section><h2 class="section-heading" id="data">Data<a class="anchor" aria-label="anchor" href="#data"></a></h2>
 <hr class="half-width"><p>Data is from the paper S. K. Morgan Ernest, Thomas J. Valone, and
 James H. Brown. 2009. Long-term monitoring and experimental manipulation
 of a Chihuahuan Desert ecosystem near Portal, Arizona, USA. Ecology
@@ -378,8 +377,7 @@ <h1>About Contributors</h1>
 <p>Master_suction_trap_data_list_uncleaned.csv is a pre-cleaning version
 of a publicly available dataset by David Voegtlin, Doris Lagos, Douglas
 Landis and Christie Bahlai, available at <a href="https://lter.kbs.msu.edu/datatables/122" class="external-link">http://lter.kbs.msu.edu/datatables/122</a></p>
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-<a class="anchor" aria-label="anchor" href="#lessons"></a></h2>
+</section><section><h2 class="section-heading" id="lessons">Lessons<a class="anchor" aria-label="anchor" href="#lessons"></a></h2>
 <hr class="half-width"><p>The current list of lessons.</p>
 <p>Note: these lessons were reorganized, cleaned up and developed
 further by Leah Wasser, Mariela Perignon, John Gosset and François
@@ -433,7 +431,7 @@ <h1>About Contributors</h1>
         <p>Materials licensed under <a href="LICENSE.html">CC-BY 4.0</a> by the authors</p>
 
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+        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.6" class="external-link">sandpaper (0.16.6)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.4" class="external-link">varnish (1.0.4)</a></p>
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@@ -456,7 +454,7 @@ <h1>About Contributors</h1>
   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/CONTRIBUTORS.html",
   "dateCreated": "2015-03-19",
   "dateModified": "2023-05-08",
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 }
 
   </script><script>
diff --git a/LICENSE.html b/LICENSE.html
index 643c2b43f..8a325589a 100644
--- a/LICENSE.html
+++ b/LICENSE.html
@@ -287,10 +287,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
                     RESOURCES
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@@ -310,7 +310,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
                 </div>
               </div>
             </div>
-            <hr class="half-width resources"><a href="aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
@@ -353,8 +353,7 @@ <h1>Licenses</h1>
 
         
 
-<section><h2 class="section-heading" id="instructional-material">Instructional Material<a class="anchor" aria-label="anchor" href="#instructional-material"></a>
-<a class="anchor" aria-label="anchor" href="#instructional-material"></a></h2>
+<section><h2 class="section-heading" id="instructional-material">Instructional Material<a class="anchor" aria-label="anchor" href="#instructional-material"></a></h2>
 <hr class="half-width"><p>All Carpentries (Software Carpentry, Data Carpentry, and Library
 Carpentry) instructional material is made available under the <a href="https://creativecommons.org/licenses/by/4.0/" class="external-link">Creative Commons
 Attribution license</a>. The following is a human-readable summary of
@@ -387,8 +386,7 @@ <h1>Licenses</h1>
 permissions necessary for your intended use. For example, other rights
 such as publicity, privacy, or moral rights may limit how you use the
 material.</li>
-</ul></section><section><h2 class="section-heading" id="software">Software<a class="anchor" aria-label="anchor" href="#software"></a>
-<a class="anchor" aria-label="anchor" href="#software"></a></h2>
+</ul></section><section><h2 class="section-heading" id="software">Software<a class="anchor" aria-label="anchor" href="#software"></a></h2>
 <hr class="half-width"><p>Except where otherwise noted, the example programs and other software
 provided by The Carpentries are made available under the <a href="https://opensource.org" class="external-link">OSI</a>-approved <a href="https://opensource.org/licenses/mit-license.html" class="external-link">MIT
 license</a>.</p>
@@ -408,8 +406,7 @@ <h1>Licenses</h1>
 CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
 TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
 SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.</p>
-</section><section><h2 class="section-heading" id="trademark">Trademark<a class="anchor" aria-label="anchor" href="#trademark"></a>
-<a class="anchor" aria-label="anchor" href="#trademark"></a></h2>
+</section><section><h2 class="section-heading" id="trademark">Trademark<a class="anchor" aria-label="anchor" href="#trademark"></a></h2>
 <hr class="half-width"><p>“The Carpentries”, “Software Carpentry”, “Data Carpentry”, and
 “Library Carpentry” and their respective logos are registered trademarks
 of <a href="https://communityin.org/" class="external-link">Community Initiatives</a>.</p>
@@ -449,7 +446,7 @@ <h1>Licenses</h1>
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@@ -472,7 +469,7 @@ <h1>Licenses</h1>
   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/LICENSE.html",
   "dateCreated": "2015-03-19",
   "dateModified": "2023-05-08",
-  "datePublished": "2024-08-20"
+  "datePublished": "2024-08-27"
 }
 
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diff --git a/aio.html b/aio.html
index f2ec7bba9..5d837aa14 100644
--- a/aio.html
+++ b/aio.html
@@ -358,10 +358,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
             </div>
 
             <hr class="half-width">
-<div class="accordion accordion-flush resources" id="accordionFlush12">
+<div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
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-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
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-            <hr class="half-width resources">
+            <hr class="half-width lesson-resources">
 <a href="aio.html">See all in one page</a>
 
 
@@ -449,7 +449,6 @@ <h3 class="card-title">Objectives</h3>
 </div>
 </div>
 <section><h2 class="section-heading" id="what-is-python">What is Python?<a class="anchor" aria-label="anchor" href="#what-is-python"></a>
-<a class="anchor" aria-label="anchor" href="#what-is-python"></a>
 </h2>
 <hr class="half-width">
 <p>Python is a general purpose programming language that supports rapid
@@ -504,7 +503,6 @@ <h3 class="card-title">Objectives</h3>
 Cross-Platform:</strong> We know we have already said that but it is
 worth repeating.</p></li>
 </ul></section><section><h2 class="section-heading" id="knowing-your-way-around-anaconda">Knowing your way around Anaconda<a class="anchor" aria-label="anchor" href="#knowing-your-way-around-anaconda"></a>
-<a class="anchor" aria-label="anchor" href="#knowing-your-way-around-anaconda"></a>
 </h2>
 <hr class="half-width">
 <p><a href="https://www.anaconda.com/download" class="external-link">Anaconda</a> distribution
@@ -522,7 +520,6 @@ <h3 class="card-title">Objectives</h3>
 <p>Anaconda comes with a package manager called <a href="https://conda.io/docs/" class="external-link">conda</a> used to install and update
 additional packages.</p>
 </section><section><h2 class="section-heading" id="research-project-best-practices">Research Project: Best Practices<a class="anchor" aria-label="anchor" href="#research-project-best-practices"></a>
-<a class="anchor" aria-label="anchor" href="#research-project-best-practices"></a>
 </h2>
 <hr class="half-width">
 <p>It is a good idea to keep a set of related data, analyses, and text
@@ -559,7 +556,6 @@ <h3 id="organizing-your-working-directory">Organizing your working directory<a c
 files.</p>
 </div>
 </section><section><h2 class="section-heading" id="what-is-programming-and-coding">What is Programming and Coding?<a class="anchor" aria-label="anchor" href="#what-is-programming-and-coding"></a>
-<a class="anchor" aria-label="anchor" href="#what-is-programming-and-coding"></a>
 </h2>
 <hr class="half-width">
 <p>Programming is the process of writing <em>“programs”</em> that a
@@ -637,7 +633,6 @@ <h4 id="if-you-are-working-with-spyder">If you are working with Spyder:<a class=
 command and return you to the <code>In [..]:</code> prompt.</p>
 </div>
 </section><section><h2 class="section-heading" id="how-to-learn-more-after-the-workshop">How to learn more after the workshop?<a class="anchor" aria-label="anchor" href="#how-to-learn-more-after-the-workshop"></a>
-<a class="anchor" aria-label="anchor" href="#how-to-learn-more-after-the-workshop"></a>
 </h2>
 <hr class="half-width">
 <p>The material we cover during this workshop will give you an initial
@@ -651,7 +646,6 @@ <h4 id="if-you-are-working-with-spyder">If you are working with Spyder:<a class=
 online, modifying existing code to suit your purpose might make it
 easier for you to get started.</p>
 </section><section><h2 class="section-heading" id="seeking-help">Seeking help<a class="anchor" aria-label="anchor" href="#seeking-help"></a>
-<a class="anchor" aria-label="anchor" href="#seeking-help"></a>
 </h2>
 <hr class="half-width">
 <ul>
@@ -718,7 +712,6 @@ <h3 id="where-to-ask-for-help">Where to ask for help?<a class="anchor" aria-labe
 </ul>
 </div>
 </section><section><h2 class="section-heading" id="more-resources">More resources<a class="anchor" aria-label="anchor" href="#more-resources"></a>
-<a class="anchor" aria-label="anchor" href="#more-resources"></a>
 </h2>
 <hr class="half-width">
 <ul>
@@ -734,8 +727,7 @@ <h3 id="where-to-ask-for-help">Where to ask for help?<a class="anchor" aria-labe
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul>
 <li>Python is an open source and platform independent programming
@@ -789,7 +781,6 @@ <h3 class="card-title">Objectives</h3>
 </div>
 </div>
 <section><h2 class="section-heading" id="interpreter">Interpreter<a class="anchor" aria-label="anchor" href="#interpreter"></a>
-<a class="anchor" aria-label="anchor" href="#interpreter"></a>
 </h2>
 <hr class="half-width">
 <p>Python is an interpreted language which can be used in two ways:</p>
@@ -849,7 +840,6 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <pre class="output" tabindex="0"><code>Hello World</code></pre>
 </div>
 </section><section><h2 class="section-heading" id="introduction-to-variables-in-python">Introduction to variables in Python<a class="anchor" aria-label="anchor" href="#introduction-to-variables-in-python"></a>
-<a class="anchor" aria-label="anchor" href="#introduction-to-variables-in-python"></a>
 </h2>
 <hr class="half-width">
 <div class="section level3">
@@ -1068,7 +1058,6 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </section><section><h2 class="section-heading" id="sequences-lists-and-tuples">Sequences: Lists and Tuples<a class="anchor" aria-label="anchor" href="#sequences-lists-and-tuples"></a>
-<a class="anchor" aria-label="anchor" href="#sequences-lists-and-tuples"></a>
 </h2>
 <hr class="half-width">
 <div class="section level3">
@@ -1162,8 +1151,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="tuples-vs.-lists" class="callout-inner">
-<h3 class="callout-title">Tuples <em>vs.</em> Lists<a class="anchor" aria-label="anchor" href="#tuples-vs.-lists"></a>
-</h3>
+<h3 class="callout-title">Tuples <em>vs.</em> Lists</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li>What happens when you execute <code>a_list[1] = 5</code>?</li>
@@ -1261,7 +1249,6 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </section><section><h2 class="section-heading" id="dictionaries">Dictionaries<a class="anchor" aria-label="anchor" href="#dictionaries"></a>
-<a class="anchor" aria-label="anchor" href="#dictionaries"></a>
 </h2>
 <hr class="half-width">
 <p>A <strong>dictionary</strong> is a container that holds pairs of
@@ -1337,8 +1324,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="changing-dictionaries" class="callout-inner">
-<h3 class="callout-title">Changing dictionaries<a class="anchor" aria-label="anchor" href="#changing-dictionaries"></a>
-</h3>
+<h3 class="callout-title">Changing dictionaries</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li>First, print the value of the <code>rev</code> dictionary to the
@@ -1390,7 +1376,6 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 
 </section><section><h2 class="section-heading" id="functions">Functions<a class="anchor" aria-label="anchor" href="#functions"></a>
-<a class="anchor" aria-label="anchor" href="#functions"></a>
 </h2>
 <hr class="half-width">
 <p>Defining a section of code as a <strong>function</strong> in Python
@@ -1416,8 +1401,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul>
 <li>Python is an interpreted language which can be used interactively
@@ -1481,7 +1465,6 @@ <h3 class="card-title">Objectives</h3>
 </div>
 </div>
 <section><h2 class="section-heading" id="working-with-pandas-dataframes-in-python">Working With Pandas DataFrames in Python<a class="anchor" aria-label="anchor" href="#working-with-pandas-dataframes-in-python"></a>
-<a class="anchor" aria-label="anchor" href="#working-with-pandas-dataframes-in-python"></a>
 </h2>
 <hr class="half-width">
 <p>We can automate the process of performing data manipulations in
@@ -1613,7 +1596,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <code>pandas</code> each time we call a Pandas function.</p>
 </div>
 </section><section><h2 class="section-heading" id="reading-csv-data-using-pandas">Reading CSV Data Using Pandas<a class="anchor" aria-label="anchor" href="#reading-csv-data-using-pandas"></a>
-<a class="anchor" aria-label="anchor" href="#reading-csv-data-using-pandas"></a>
 </h2>
 <hr class="half-width">
 <p>We will begin by locating and reading our survey data which are in
@@ -1845,8 +1827,7 @@ <h4 id="useful-ways-to-view-dataframe-objects-in-python">Useful Ways to View Dat
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---dataframes" class="callout-inner">
-<h3 class="callout-title">Challenge - DataFrames<a class="anchor" aria-label="anchor" href="#challenge---dataframes"></a>
-</h3>
+<h3 class="callout-title">Challenge - DataFrames</h3>
 <div class="callout-content">
 <p>Using our DataFrame <code>surveys_df</code>, try out the
 <strong>attributes</strong> &amp; <strong>methods</strong> below to see
@@ -1872,7 +1853,7 @@ <h3 class="callout-title">Challenge - DataFrames<a class="anchor" aria-label="an
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
 <div class="accordion-body">
 <ol style="list-style-type: decimal">
 <li>
@@ -1946,8 +1927,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---statistics" class="callout-inner">
-<h3 class="callout-title">Challenge - Statistics<a class="anchor" aria-label="anchor" href="#challenge---statistics"></a>
-</h3>
+<h3 class="callout-title">Challenge - Statistics</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li><p>Create a list of unique site IDs (“plot_id”) found in the surveys
@@ -1964,7 +1944,7 @@ <h3 class="callout-title">Challenge - Statistics<a class="anchor" aria-label="an
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution2" aria-expanded="false" aria-controls="collapseSolution2">
   <h4 class="accordion-header" id="headingSolution2"> Show me the solution </h4>
 </button>
-<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
+<div id="collapseSolution2" class="accordion-collapse collapse" data-bs-parent="#accordionSolution2" aria-labelledby="headingSolution2">
 <div class="accordion-body">
 <ol style="list-style-type: decimal">
 <li><code>site_names = pd.unique(surveys_df["plot_id"])</code></li>
@@ -1991,7 +1971,6 @@ <h4 class="accordion-header" id="headingSolution2"> Show me the solution </h4>
 </div>
 </div>
 </section><section><h2 class="section-heading" id="groups-in-pandas">Groups in Pandas<a class="anchor" aria-label="anchor" href="#groups-in-pandas"></a>
-<a class="anchor" aria-label="anchor" href="#groups-in-pandas"></a>
 </h2>
 <hr class="half-width">
 <p>We often want to calculate summary statistics grouped by subsets or
@@ -2075,8 +2054,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---summary-data" class="callout-inner">
-<h3 class="callout-title">Challenge - Summary Data<a class="anchor" aria-label="anchor" href="#challenge---summary-data"></a>
-</h3>
+<h3 class="callout-title">Challenge - Summary Data</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li>How many recorded individuals are female <code>F</code> and how many
@@ -2102,7 +2080,7 @@ <h3 class="callout-title">Challenge - Summary Data<a class="anchor" aria-label="
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution3" aria-expanded="false" aria-controls="collapseSolution3">
   <h4 class="accordion-header" id="headingSolution3"> Show me the solution </h4>
 </button>
-<div id="collapseSolution3" class="accordion-collapse collapse" aria-labelledby="headingSolution3" data-bs-parent="#accordionSolution3">
+<div id="collapseSolution3" class="accordion-collapse collapse" data-bs-parent="#accordionSolution3" aria-labelledby="headingSolution3">
 <div class="accordion-body">
 <ol style="list-style-type: decimal">
 <li>The first column of output from <code>grouped_data.describe()</code>
@@ -2194,8 +2172,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---make-a-list" class="callout-inner">
-<h3 class="callout-title">Challenge - Make a list<a class="anchor" aria-label="anchor" href="#challenge---make-a-list"></a>
-</h3>
+<h3 class="callout-title">Challenge - Make a list</h3>
 <div class="callout-content">
 <p>What’s another way to create a list of species and associated
 <code>count</code> of the records in the data? Hint: you can perform
@@ -2210,7 +2187,7 @@ <h3 class="callout-title">Challenge - Make a list<a class="anchor" aria-label="a
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution4" aria-expanded="false" aria-controls="collapseSolution4">
   <h4 class="accordion-header" id="headingSolution4"> Show me the solution </h4>
 </button>
-<div id="collapseSolution4" class="accordion-collapse collapse" aria-labelledby="headingSolution4" data-bs-parent="#accordionSolution4">
+<div id="collapseSolution4" class="accordion-collapse collapse" data-bs-parent="#accordionSolution4" aria-labelledby="headingSolution4">
 <div class="accordion-body">
 <p>As well as calling <code>count()</code> on the <code>record_id</code>
 column of the grouped DataFrame as above, an equivalent result can be
@@ -2295,7 +2272,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 to a mean, area, or some other value calculated from our data.</p>
 </div>
 </section><section><h2 class="section-heading" id="quick-easy-plotting-data-using-pandas">Quick &amp; Easy Plotting Data Using Pandas<a class="anchor" aria-label="anchor" href="#quick-easy-plotting-data-using-pandas"></a>
-<a class="anchor" aria-label="anchor" href="#quick-easy-plotting-data-using-pandas"></a>
 </h2>
 <hr class="half-width">
 <p>We can plot our summary stats using Pandas, too.</p>
@@ -2322,8 +2298,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---plots" class="callout-inner">
-<h3 class="callout-title">Challenge - Plots<a class="anchor" aria-label="anchor" href="#challenge---plots"></a>
-</h3>
+<h3 class="callout-title">Challenge - Plots</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li>Create a plot of average weight across all species per site.</li>
@@ -2338,7 +2313,7 @@ <h3 class="callout-title">Challenge - Plots<a class="anchor" aria-label="anchor"
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution5" aria-expanded="false" aria-controls="collapseSolution5">
   <h4 class="accordion-header" id="headingSolution5"> Show me the solution </h4>
 </button>
-<div id="collapseSolution5" class="accordion-collapse collapse" aria-labelledby="headingSolution5" data-bs-parent="#accordionSolution5">
+<div id="collapseSolution5" class="accordion-collapse collapse" data-bs-parent="#accordionSolution5" aria-labelledby="headingSolution5">
 <div class="accordion-body">
 <ol style="list-style-type: decimal">
 <li><code>surveys_df.groupby('plot_id').mean()["weight"].plot(kind='bar')</code></li>
@@ -2356,8 +2331,7 @@ <h4 class="accordion-header" id="headingSolution5"> Show me the solution </h4>
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="summary-plotting-challenge" class="callout-inner">
-<h3 class="callout-title">Summary Plotting Challenge<a class="anchor" aria-label="anchor" href="#summary-plotting-challenge"></a>
-</h3>
+<h3 class="callout-title">Summary Plotting Challenge</h3>
 <div class="callout-content">
 <p>Create a stacked bar plot, with weight on the Y axis, and the stacked
 variable being sex. The plot should show total weight by sex for each
@@ -2409,7 +2383,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution6" aria-expanded="false" aria-controls="collapseSolution6">
   <h4 class="accordion-header" id="headingSolution6"> Solution to Summary Challenge </h4>
 </button>
-<div id="collapseSolution6" class="accordion-collapse collapse" aria-labelledby="headingSolution6" data-bs-parent="#accordionSolution6">
+<div id="collapseSolution6" class="accordion-collapse collapse" data-bs-parent="#accordionSolution6" aria-labelledby="headingSolution6">
 <div class="accordion-body">
 <p>First we group data by site and by sex, and then calculate a total
 for each site.</p>
@@ -2482,8 +2456,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul>
 <li>Libraries enable us to extend the functionality of Python.</li>
@@ -2562,7 +2535,6 @@ <h3 class="card-title">Objectives</h3>
 <li>subsetting.</li>
 </ul>
 <section><h2 class="section-heading" id="loading-our-data">Loading our data<a class="anchor" aria-label="anchor" href="#loading-our-data"></a>
-<a class="anchor" aria-label="anchor" href="#loading-our-data"></a>
 </h2>
 <hr class="half-width">
 <p>We will continue to use the surveys dataset that we worked with in
@@ -2577,7 +2549,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <span id="cb1-5"><a href="#cb1-5" tabindex="-1"></a>surveys_df <span class="op">=</span> pd.read_csv(<span class="st">"data/surveys.csv"</span>)</span></code></pre>
 </div>
 </section><section><h2 class="section-heading" id="indexing-and-slicing-in-python">Indexing and Slicing in Python<a class="anchor" aria-label="anchor" href="#indexing-and-slicing-in-python"></a>
-<a class="anchor" aria-label="anchor" href="#indexing-and-slicing-in-python"></a>
 </h2>
 <hr class="half-width">
 <p>We often want to work with subsets of a <strong>DataFrame</strong>
@@ -2585,7 +2556,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 labels (column headings), numeric ranges, or specific x,y index
 locations.</p>
 </section><section><h2 class="section-heading" id="selecting-data-using-labels-column-headings">Selecting data using Labels (Column Headings)<a class="anchor" aria-label="anchor" href="#selecting-data-using-labels-column-headings"></a>
-<a class="anchor" aria-label="anchor" href="#selecting-data-using-labels-column-headings"></a>
 </h2>
 <hr class="half-width">
 <p>We use square brackets <code>[]</code> to select a subset of a Python
@@ -2635,8 +2605,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="bell"></i>
 </div>
 <div id="reminder" class="callout-inner">
-<h3 class="callout-title">Reminder<a class="anchor" aria-label="anchor" href="#reminder"></a>
-</h3>
+<h3 class="callout-title">Reminder</h3>
 <div class="callout-content">
 <p>The Python language and its modules (such as Pandas) define reserved
 words that should not be used as identifiers when assigning objects and
@@ -2655,7 +2624,6 @@ <h3 class="callout-title">Reminder<a class="anchor" aria-label="anchor" href="#r
 </div>
 </div>
 </section><section><h2 class="section-heading" id="extracting-range-based-subsets-slicing">Extracting Range based Subsets: Slicing<a class="anchor" aria-label="anchor" href="#extracting-range-based-subsets-slicing"></a>
-<a class="anchor" aria-label="anchor" href="#extracting-range-based-subsets-slicing"></a>
 </h2>
 <hr class="half-width">
 <div id="reminder-1" class="callout">
@@ -2663,8 +2631,7 @@ <h3 class="callout-title">Reminder<a class="anchor" aria-label="anchor" href="#r
 <i class="callout-icon" data-feather="bell"></i>
 </div>
 <div id="reminder-1" class="callout-inner">
-<h3 class="callout-title">Reminder<a class="anchor" aria-label="anchor" href="#reminder-1"></a>
-</h3>
+<h3 class="callout-title">Reminder</h3>
 <div class="callout-content">
 <p>Python uses 0-based indexing.</p>
 </div>
@@ -2686,8 +2653,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---extracting-data" class="callout-inner">
-<h3 class="callout-title">Challenge - Extracting data<a class="anchor" aria-label="anchor" href="#challenge---extracting-data"></a>
-</h3>
+<h3 class="callout-title">Challenge - Extracting data</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li>
@@ -2725,7 +2691,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
 <div class="accordion-body">
 <ol style="list-style-type: decimal">
 <li><p><code>a[0]</code> returns <code>1</code>, as Python starts with
@@ -2757,7 +2723,6 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </section><section><h2 class="section-heading" id="slicing-subsets-of-rows-in-python">Slicing Subsets of Rows in Python<a class="anchor" aria-label="anchor" href="#slicing-subsets-of-rows-in-python"></a>
-<a class="anchor" aria-label="anchor" href="#slicing-subsets-of-rows-in-python"></a>
 </h2>
 <hr class="half-width">
 <p>Slicing using the <code>[]</code> operator selects a set of rows
@@ -2789,7 +2754,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 concept of copying objects and the concept of referencing objects in
 Python.</p>
 </section><section><h2 class="section-heading" id="copying-objects-vs-referencing-objects-in-python">Copying Objects vs Referencing Objects in Python<a class="anchor" aria-label="anchor" href="#copying-objects-vs-referencing-objects-in-python"></a>
-<a class="anchor" aria-label="anchor" href="#copying-objects-vs-referencing-objects-in-python"></a>
 </h2>
 <hr class="half-width">
 <p>Let’s start with an example:</p>
@@ -2875,7 +2839,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <pre class="sourceCode python" tabindex="0"><code class="sourceCode python"><span id="cb18-1"><a href="#cb18-1" tabindex="-1"></a>surveys_df <span class="op">=</span> pd.read_csv(<span class="st">"data/surveys.csv"</span>)</span></code></pre>
 </div>
 </section><section><h2 class="section-heading" id="slicing-subsets-of-rows-and-columns-in-python">Slicing Subsets of Rows and Columns in Python<a class="anchor" aria-label="anchor" href="#slicing-subsets-of-rows-and-columns-in-python"></a>
-<a class="anchor" aria-label="anchor" href="#slicing-subsets-of-rows-and-columns-in-python"></a>
 </h2>
 <hr class="half-width">
 <p>We can select specific ranges of our data in both the row and column
@@ -2979,8 +2942,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---range" class="callout-inner">
-<h3 class="callout-title">Challenge - Range<a class="anchor" aria-label="anchor" href="#challenge---range"></a>
-</h3>
+<h3 class="callout-title">Challenge - Range</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li>What happens when you execute:
@@ -3010,7 +2972,7 @@ <h3 class="callout-title">Challenge - Range<a class="anchor" aria-label="anchor"
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution2" aria-expanded="false" aria-controls="collapseSolution2">
   <h4 class="accordion-header" id="headingSolution2"> Selection Challenges </h4>
 </button>
-<div id="collapseSolution2" class="accordion-collapse collapse" data-bs-parent="#accordionSolution2" aria-labelledby="headingSolution2">
+<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
 <div class="accordion-body">
 <ol style="list-style-type: decimal">
 <li>
@@ -3083,7 +3045,6 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </section><section><h2 class="section-heading" id="subsetting-data-using-criteria">Subsetting Data using Criteria<a class="anchor" aria-label="anchor" href="#subsetting-data-using-criteria"></a>
-<a class="anchor" aria-label="anchor" href="#subsetting-data-using-criteria"></a>
 </h2>
 <hr class="half-width">
 <p>We can also select a subset of our data using criteria. For example,
@@ -3149,8 +3110,7 @@ <h3 id="python-syntax-cheat-sheet">Python Syntax Cheat Sheet<a class="anchor" ar
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---queries" class="callout-inner">
-<h3 class="callout-title">Challenge - Queries<a class="anchor" aria-label="anchor" href="#challenge---queries"></a>
-</h3>
+<h3 class="callout-title">Challenge - Queries</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li><p>Select a subset of rows in the <code>surveys_df</code> DataFrame
@@ -3184,7 +3144,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution3" aria-expanded="false" aria-controls="collapseSolution3">
   <h4 class="accordion-header" id="headingSolution3"> Show me the solution </h4>
 </button>
-<div id="collapseSolution3" class="accordion-collapse collapse" data-bs-parent="#accordionSolution3" aria-labelledby="headingSolution3">
+<div id="collapseSolution3" class="accordion-collapse collapse" aria-labelledby="headingSolution3" data-bs-parent="#accordionSolution3">
 <div class="accordion-body">
 <ol style="list-style-type: decimal">
 <li>
@@ -3274,7 +3234,6 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 
 </div>
 </section><section><h2 class="section-heading" id="using-masks-to-identify-a-specific-condition">Using masks to identify a specific condition<a class="anchor" aria-label="anchor" href="#using-masks-to-identify-a-specific-condition"></a>
-<a class="anchor" aria-label="anchor" href="#using-masks-to-identify-a-specific-condition"></a>
 </h2>
 <hr class="half-width">
 <p>A <strong>mask</strong> can be useful to locate where a particular
@@ -3361,8 +3320,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---putting-it-all-together" class="callout-inner">
-<h3 class="callout-title">Challenge - Putting it all together<a class="anchor" aria-label="anchor" href="#challenge---putting-it-all-together"></a>
-</h3>
+<h3 class="callout-title">Challenge - Putting it all together</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li>Create a new DataFrame that only contains observations with sex
@@ -3383,7 +3341,7 @@ <h3 class="callout-title">Challenge - Putting it all together<a class="anchor" a
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution4" aria-expanded="false" aria-controls="collapseSolution4">
   <h4 class="accordion-header" id="headingSolution4"> Show me the solution </h4>
 </button>
-<div id="collapseSolution4" class="accordion-collapse collapse" data-bs-parent="#accordionSolution4" aria-labelledby="headingSolution4">
+<div id="collapseSolution4" class="accordion-collapse collapse" aria-labelledby="headingSolution4" data-bs-parent="#accordionSolution4">
 <div class="accordion-body">
 <ol style="list-style-type: decimal">
 <li>
@@ -3431,8 +3389,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul>
 <li>In Python, portions of data can be accessed using indices, slices,
@@ -3497,7 +3454,6 @@ <h3 class="card-title">Objectives</h3>
 <p>In this lesson we will review ways to explore and better understand
 the structure and format of our data.</p>
 <section><h2 class="section-heading" id="types-of-data">Types of Data<a class="anchor" aria-label="anchor" href="#types-of-data"></a>
-<a class="anchor" aria-label="anchor" href="#types-of-data"></a>
 </h2>
 <hr class="half-width">
 <p>How information is stored in a DataFrame or a Python object affects
@@ -3505,7 +3461,6 @@ <h3 class="card-title">Objectives</h3>
 are two main types of data that we will explore in this lesson: numeric
 and text data types.</p>
 </section><section><h2 class="section-heading" id="numeric-data-types">Numeric Data Types<a class="anchor" aria-label="anchor" href="#numeric-data-types"></a>
-<a class="anchor" aria-label="anchor" href="#numeric-data-types"></a>
 </h2>
 <hr class="half-width">
 <p>Numeric data types include integers and floats. A <strong>floating
@@ -3523,7 +3478,6 @@ <h3 class="card-title">Objectives</h3>
 Allocating space ahead of time allows computers to optimize storage and
 processing efficiency.</p>
 </section><section><h2 class="section-heading" id="text-data-type">Text Data Type<a class="anchor" aria-label="anchor" href="#text-data-type"></a>
-<a class="anchor" aria-label="anchor" href="#text-data-type"></a>
 </h2>
 <hr class="half-width">
 <p>The text data type is known as a <em>string</em> in Python, or
@@ -3576,7 +3530,6 @@ <h3 class="card-title">Objectives</h3>
 </tr>
 </tbody>
 </table></section><section><h2 class="section-heading" id="checking-the-format-of-our-data">Checking the format of our data<a class="anchor" aria-label="anchor" href="#checking-the-format-of-our-data"></a>
-<a class="anchor" aria-label="anchor" href="#checking-the-format-of-our-data"></a>
 </h2>
 <hr class="half-width">
 <p>Now that we’re armed with a basic understanding of numeric and text
@@ -3658,7 +3611,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 it contains decimals. The <code>species_id</code> and <code>sex</code>
 columns are objects which means they contain strings.</p>
 </section><section><h2 class="section-heading" id="working-with-integers-and-floats">Working With Integers and Floats<a class="anchor" aria-label="anchor" href="#working-with-integers-and-floats"></a>
-<a class="anchor" aria-label="anchor" href="#working-with-integers-and-floats"></a>
 </h2>
 <hr class="half-width">
 <p>So we’ve learned that computers store numbers in one of two ways: as
@@ -3738,7 +3690,6 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <pre class="output" tabindex="0"><code><span><span class="fl">7.0</span></span></code></pre>
 </div>
 </section><section><h2 class="section-heading" id="working-with-our-survey-data">Working With Our Survey Data<a class="anchor" aria-label="anchor" href="#working-with-our-survey-data"></a>
-<a class="anchor" aria-label="anchor" href="#working-with-our-survey-data"></a>
 </h2>
 <hr class="half-width">
 <p>Getting back to our data, we can modify the format of values within
@@ -3761,8 +3712,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="changing-types" class="callout-inner">
-<h3 class="callout-title">Changing Types<a class="anchor" aria-label="anchor" href="#changing-types"></a>
-</h3>
+<h3 class="callout-title">Changing Types</h3>
 <div class="callout-content">
 <p>Try converting the column <code>plot_id</code> to floats using</p>
 <div class="codewrapper sourceCode" id="cb24">
@@ -3781,7 +3731,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
 <div class="accordion-body">
 <div class="codewrapper sourceCode" id="cb25">
 <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -3820,7 +3770,6 @@ <h3 class="code-label">ERROR<i aria-hidden="true" data-feather="chevron-left"></
 </div>
 </div>
 </section><section><h2 class="section-heading" id="missing-data-values---nan">Missing Data Values - NaN<a class="anchor" aria-label="anchor" href="#missing-data-values---nan"></a>
-<a class="anchor" aria-label="anchor" href="#missing-data-values---nan"></a>
 </h2>
 <hr class="half-width">
 <p>What happened in the last challenge activity? Notice that this raises
@@ -3921,8 +3870,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="counting" class="callout-inner">
-<h3 class="callout-title">Counting<a class="anchor" aria-label="anchor" href="#counting"></a>
-</h3>
+<h3 class="callout-title">Counting</h3>
 <div class="callout-content">
 <p>Count the number of missing values per column.</p>
 </div>
@@ -3933,7 +3881,7 @@ <h3 class="callout-title">Counting<a class="anchor" aria-label="anchor" href="#c
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution3" aria-expanded="false" aria-controls="collapseSolution3">
   <h4 class="accordion-header" id="headingSolution3"> Hints </h4>
 </button>
-<div id="collapseSolution3" class="accordion-collapse collapse" aria-labelledby="headingSolution3" data-bs-parent="#accordionSolution3">
+<div id="collapseSolution3" class="accordion-collapse collapse" data-bs-parent="#accordionSolution3" aria-labelledby="headingSolution3">
 <div class="accordion-body">
 <p>The method <code>.count()</code> gives you the number of non-NaN
 observations per column. Try looking to the <code>.isna()</code>
@@ -3943,7 +3891,7 @@ <h4 class="accordion-header" id="headingSolution3"> Hints </h4>
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution2" aria-expanded="false" aria-controls="collapseSolution2">
   <h4 class="accordion-header" id="headingSolution2"> Show me the solution </h4>
 </button>
-<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
+<div id="collapseSolution2" class="accordion-collapse collapse" data-bs-parent="#accordionSolution2" aria-labelledby="headingSolution2">
 <div class="accordion-body">
 <div class="codewrapper sourceCode" id="cb36">
 <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -3984,7 +3932,6 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </section><section><h2 class="section-heading" id="writing-out-data-to-csv">Writing Out Data to CSV<a class="anchor" aria-label="anchor" href="#writing-out-data-to-csv"></a>
-<a class="anchor" aria-label="anchor" href="#writing-out-data-to-csv"></a>
 </h2>
 <hr class="half-width">
 <p>We’ve learned about manipulating data to get desired outputs. But
@@ -4027,7 +3974,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 it imports properly.</p>
 
 </section><section><h2 class="section-heading" id="recap">Recap<a class="anchor" aria-label="anchor" href="#recap"></a>
-<a class="anchor" aria-label="anchor" href="#recap"></a>
 </h2>
 <hr class="half-width">
 <p>What we’ve learned:</p>
@@ -4045,8 +3991,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul>
 <li>pandas uses other names for data types than Python, for example:
@@ -4170,7 +4115,6 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 about all of the <code>read_csv</code> options here and their
 defaults.</a></p>
 <section><h2 class="section-heading" id="concatenating-dataframes">Concatenating DataFrames<a class="anchor" aria-label="anchor" href="#concatenating-dataframes"></a>
-<a class="anchor" aria-label="anchor" href="#concatenating-dataframes"></a>
 </h2>
 <hr class="half-width">
 <p>We can use the <code>concat</code> function in pandas to append
@@ -4244,8 +4188,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---combine-data" class="callout-inner">
-<h3 class="callout-title">Challenge - Combine Data<a class="anchor" aria-label="anchor" href="#challenge---combine-data"></a>
-</h3>
+<h3 class="callout-title">Challenge - Combine Data</h3>
 <div class="callout-content">
 <p>In the data folder, there is another folder called
 <code>yearly_files</code> that contains survey data broken down into
@@ -4294,7 +4237,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </section><section><h2 class="section-heading" id="joining-dataframes">Joining DataFrames<a class="anchor" aria-label="anchor" href="#joining-dataframes"></a>
-<a class="anchor" aria-label="anchor" href="#joining-dataframes"></a>
 </h2>
 <hr class="half-width">
 <p>When we concatenated our DataFrames, we simply added them to each
@@ -4595,7 +4537,6 @@ <h3 id="other-join-types">Other join types<a class="anchor" aria-label="anchor"
 </ul>
 </div>
 </section><section><h2 class="section-heading" id="final-challenges">Final Challenges<a class="anchor" aria-label="anchor" href="#final-challenges"></a>
-<a class="anchor" aria-label="anchor" href="#final-challenges"></a>
 </h2>
 <hr class="half-width">
 <div id="challenge---distributions" class="callout challenge">
@@ -4603,8 +4544,7 @@ <h3 id="other-join-types">Other join types<a class="anchor" aria-label="anchor"
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---distributions" class="callout-inner">
-<h3 class="callout-title">Challenge - Distributions<a class="anchor" aria-label="anchor" href="#challenge---distributions"></a>
-</h3>
+<h3 class="callout-title">Challenge - Distributions</h3>
 <div class="callout-content">
 <p>Create a new DataFrame by joining the contents of the
 <code>surveys.csv</code> and <code>species.csv</code> tables. Then
@@ -4669,8 +4609,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---diversity-index" class="callout-inner">
-<h3 class="callout-title">Challenge - Diversity Index<a class="anchor" aria-label="anchor" href="#challenge---diversity-index"></a>
-</h3>
+<h3 class="callout-title">Challenge - Diversity Index</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li><p>In the data folder, there is a <code>plots.csv</code> file that
@@ -4733,8 +4672,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul>
 <li>Pandas’ <code>merge</code> and <code>concat</code> can be used to
@@ -4795,7 +4733,6 @@ <h3 class="card-title">Objectives</h3>
 though, comes from the ability to automate data processing through the
 use of loops and functions.</p>
 <section><h2 class="section-heading" id="for-loops">For loops<a class="anchor" aria-label="anchor" href="#for-loops"></a>
-<a class="anchor" aria-label="anchor" href="#for-loops"></a>
 </h2>
 <hr class="half-width">
 <p>Loops allow us to repeat a workflow (or series of actions) a given
@@ -4872,8 +4809,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---loops" class="callout-inner">
-<h3 class="callout-title">Challenge - Loops<a class="anchor" aria-label="anchor" href="#challenge---loops"></a>
-</h3>
+<h3 class="callout-title">Challenge - Loops</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li><p>What happens if we don’t include the <code>pass</code>
@@ -4941,7 +4877,6 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </section><section><h2 class="section-heading" id="automating-data-processing-using-for-loops">Automating data processing using For Loops<a class="anchor" aria-label="anchor" href="#automating-data-processing-using-for-loops"></a>
-<a class="anchor" aria-label="anchor" href="#automating-data-processing-using-for-loops"></a>
 </h2>
 <hr class="half-width">
 <p>The file we’ve been using so far, <code>surveys.csv</code>, contains
@@ -5101,7 +5036,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 couple of the files you just created to confirm that everything worked
 as expected.</p>
 </section><section><h2 class="section-heading" id="writing-unique-file-names">Writing Unique File Names<a class="anchor" aria-label="anchor" href="#writing-unique-file-names"></a>
-<a class="anchor" aria-label="anchor" href="#writing-unique-file-names"></a>
 </h2>
 <hr class="half-width">
 <p>Notice that the code above created a unique filename for each
@@ -5134,8 +5068,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---modifying-loops" class="callout-inner">
-<h3 class="callout-title">Challenge - Modifying loops<a class="anchor" aria-label="anchor" href="#challenge---modifying-loops"></a>
-</h3>
+<h3 class="callout-title">Challenge - Modifying loops</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li><p>Some of the surveys you saved are missing data (they have null
@@ -5196,7 +5129,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </section><section><h2 class="section-heading" id="building-reusable-and-modular-code-with-functions">Building reusable and modular code with functions<a class="anchor" aria-label="anchor" href="#building-reusable-and-modular-code-with-functions"></a>
-<a class="anchor" aria-label="anchor" href="#building-reusable-and-modular-code-with-functions"></a>
 </h2>
 <hr class="half-width">
 <p>Suppose that separating large data files into individual yearly files
@@ -5262,8 +5194,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---functions" class="callout-inner">
-<h3 class="callout-title">Challenge - Functions<a class="anchor" aria-label="anchor" href="#challenge---functions"></a>
-</h3>
+<h3 class="callout-title">Challenge - Functions</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li>Change the values of the arguments provided to the function and
@@ -5524,8 +5455,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge-more-functions" class="callout-inner">
-<h3 class="callout-title">Challenge: More functions<a class="anchor" aria-label="anchor" href="#challenge-more-functions"></a>
-</h3>
+<h3 class="callout-title">Challenge: More functions</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li>Add two arguments to the functions we wrote that take the path of
@@ -5726,8 +5656,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---variables" class="callout-inner">
-<h3 class="callout-title">Challenge - Variables<a class="anchor" aria-label="anchor" href="#challenge---variables"></a>
-</h3>
+<h3 class="callout-title">Challenge - Variables</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li>What type of object corresponds to a variable declared as
@@ -5832,7 +5761,6 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </section><section><h2 class="section-heading" id="if-statements">If Statements<a class="anchor" aria-label="anchor" href="#if-statements"></a>
-<a class="anchor" aria-label="anchor" href="#if-statements"></a>
 </h2>
 <hr class="half-width">
 <p>The body of the test function now has two conditionals (if
@@ -5926,8 +5854,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---modifying-functions" class="callout-inner">
-<h3 class="callout-title">Challenge - Modifying functions<a class="anchor" aria-label="anchor" href="#challenge---modifying-functions"></a>
-</h3>
+<h3 class="callout-title">Challenge - Modifying functions</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li><p>Rewrite the <code>one_year_csv_writer</code> and
@@ -6118,8 +6045,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul>
 <li>Loops help automate repetitive tasks over sets of items.</li>
@@ -6176,7 +6102,6 @@ <h3 class="card-title">Objectives</h3>
 </div>
 </div>
 <section><h2 class="section-heading" id="disclaimer">Disclaimer<a class="anchor" aria-label="anchor" href="#disclaimer"></a>
-<a class="anchor" aria-label="anchor" href="#disclaimer"></a>
 </h2>
 <hr class="half-width">
 <p>Python has powerful built-in plotting capabilities such as
@@ -6191,8 +6116,7 @@ <h3 class="card-title">Objectives</h3>
 <i class="callout-icon" data-feather="bell"></i>
 </div>
 <div id="reminder" class="callout-inner">
-<h3 class="callout-title">Reminder<a class="anchor" aria-label="anchor" href="#reminder"></a>
-</h3>
+<h3 class="callout-title">Reminder</h3>
 <div class="callout-content">
 <p><code>plotnine</code> is not included in the standard Anaconda
 installation and needs to be installed separately. If you haven’t done
@@ -6225,7 +6149,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 
 </section><section><h2 class="section-heading" id="plotting-with-plotnine">Plotting with plotnine<a class="anchor" aria-label="anchor" href="#plotting-with-plotnine"></a>
-<a class="anchor" aria-label="anchor" href="#plotting-with-plotnine"></a>
 </h2>
 <hr class="half-width">
 <p>The <code>plotnine</code> package (cfr. other packages conform The
@@ -6301,8 +6224,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---bar-chart" class="callout-inner">
-<h3 class="callout-title">Challenge - bar chart<a class="anchor" aria-label="anchor" href="#challenge---bar-chart"></a>
-</h3>
+<h3 class="callout-title">Challenge - bar chart</h3>
 <div class="callout-content">
 <p>Working on the <code>surveys_complete</code> data set, use the
 <code>plot-id</code> column to create a <code>bar</code>-plot that
@@ -6341,7 +6263,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 independently of the aesthetics defined globally in the
 <code>ggplot()</code> function.</li>
 </ul></section><section><h2 class="section-heading" id="building-your-plots-iteratively">Building your plots iteratively<a class="anchor" aria-label="anchor" href="#building-your-plots-iteratively"></a>
-<a class="anchor" aria-label="anchor" href="#building-your-plots-iteratively"></a>
 </h2>
 <hr class="half-width">
 <p>Building plots with <code>plotnine</code> is typically an iterative
@@ -6441,8 +6362,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---bar-plot-adaptations" class="callout-inner">
-<h3 class="callout-title">Challenge - Bar plot adaptations<a class="anchor" aria-label="anchor" href="#challenge---bar-plot-adaptations"></a>
-</h3>
+<h3 class="callout-title">Challenge - Bar plot adaptations</h3>
 <div class="callout-content">
 <p>Adapt the bar plot of the previous exercise by mapping the
 <code>sex</code> variable to the color fill of the bar chart. Change the
@@ -6475,7 +6395,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </section><section><h2 class="section-heading" id="plotting-distributions">Plotting distributions<a class="anchor" aria-label="anchor" href="#plotting-distributions"></a>
-<a class="anchor" aria-label="anchor" href="#plotting-distributions"></a>
 </h2>
 <hr class="half-width">
 <p>Visualizing distributions is a common task during data exploration
@@ -6508,8 +6427,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---distributions" class="callout-inner">
-<h3 class="callout-title">Challenge - distributions<a class="anchor" aria-label="anchor" href="#challenge---distributions"></a>
-</h3>
+<h3 class="callout-title">Challenge - distributions</h3>
 <div class="callout-content">
 <p>Boxplots are useful summaries, but hide the <em>shape</em> of the
 distribution. For example, if there is a bimodal distribution, this
@@ -6561,7 +6479,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </section><section><h2 class="section-heading" id="plotting-time-series-data">Plotting time series data<a class="anchor" aria-label="anchor" href="#plotting-time-series-data"></a>
-<a class="anchor" aria-label="anchor" href="#plotting-time-series-data"></a>
 </h2>
 <hr class="half-width">
 <p>Let’s calculate the number of counts per year for each species. To do
@@ -6609,7 +6526,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <span id="cb23-6"><a href="#cb23-6" tabindex="-1"></a>)</span></code></pre>
 </div>
 <figure><img src="fig/06_time_plot.png" alt="Line graph of count per year where data for each species is indicated by a different color" class="figure mx-auto d-block"></figure></section><section><h2 class="section-heading" id="faceting">Faceting<a class="anchor" aria-label="anchor" href="#faceting"></a>
-<a class="anchor" aria-label="anchor" href="#faceting"></a>
 </h2>
 <hr class="half-width">
 <p>As any other library supporting the Grammar of Graphics,
@@ -6681,8 +6597,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---facetting" class="callout-inner">
-<h3 class="callout-title">Challenge - facetting<a class="anchor" aria-label="anchor" href="#challenge---facetting"></a>
-</h3>
+<h3 class="callout-title">Challenge - facetting</h3>
 <div class="callout-content">
 <p>Create a separate plot for each of the species that depicts how the
 average weight of the species changes through the years.</p>
@@ -6714,8 +6629,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---facetting-1" class="callout-inner">
-<h3 class="callout-title">Challenge - facetting<a class="anchor" aria-label="anchor" href="#challenge---facetting-1"></a>
-</h3>
+<h3 class="callout-title">Challenge - facetting</h3>
 <div class="callout-content">
 <p>Based on the previous exercise, visually compare how the weights of
 male and females has changed through time by creating a separate plot
@@ -6749,7 +6663,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </section><section><h2 class="section-heading" id="further-customization">Further customization<a class="anchor" aria-label="anchor" href="#further-customization"></a>
-<a class="anchor" aria-label="anchor" href="#further-customization"></a>
 </h2>
 <hr class="half-width">
 <p>As the syntax of <code>plotnine</code> follows the original R package
@@ -6804,8 +6717,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="message-circle"></i>
 </div>
 <div id="challenge---customization" class="callout-inner">
-<h3 class="callout-title">Challenge - customization<a class="anchor" aria-label="anchor" href="#challenge---customization"></a>
-</h3>
+<h3 class="callout-title">Challenge - customization</h3>
 <div class="callout-content">
 <p>Please take another five minutes to either improve one of the plots
 generated in this exercise or create a beautiful graph of your own.</p>
@@ -6837,8 +6749,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul>
 <li>The <code>data</code>, <code>aes</code> variables and a
@@ -6887,7 +6798,6 @@ <h3 class="card-title">Objectives</h3>
 </div>
 </div>
 <section><h2 class="section-heading" id="putting-it-all-together">Putting it all together<a class="anchor" aria-label="anchor" href="#putting-it-all-together"></a>
-<a class="anchor" aria-label="anchor" href="#putting-it-all-together"></a>
 </h2>
 <hr class="half-width">
 <p>Up to this point, we have walked through tasks that are often
@@ -6900,7 +6810,6 @@ <h3 class="card-title">Objectives</h3>
 you’ve already gone through as well as the Python documentation to help
 you along.</p>
 </section><section><h2 class="section-heading" id="obtain-data">Obtain data<a class="anchor" aria-label="anchor" href="#obtain-data"></a>
-<a class="anchor" aria-label="anchor" href="#obtain-data"></a>
 </h2>
 <hr class="half-width">
 <p>There are many repositories online from which you can obtain data. We
@@ -6911,7 +6820,6 @@ <h3 class="card-title">Objectives</h3>
 Street (USGS gage06730200) for 1-30 September 2013. If you’d like to use
 this dataset, please find it in the data folder.</p>
 </section><section><h2 class="section-heading" id="clean-up-your-data-and-open-it-using-python-and-pandas">Clean up your data and open it using Python and Pandas<a class="anchor" aria-label="anchor" href="#clean-up-your-data-and-open-it-using-python-and-pandas"></a>
-<a class="anchor" aria-label="anchor" href="#clean-up-your-data-and-open-it-using-python-and-pandas"></a>
 </h2>
 <hr class="half-width">
 <p>To begin, import your data file into Python using Pandas. Did it
@@ -6967,7 +6875,6 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 1          200            20</code></pre>
 </div>
 </section><section><h2 class="section-heading" id="matplotlib-package">Matplotlib package<a class="anchor" aria-label="anchor" href="#matplotlib-package"></a>
-<a class="anchor" aria-label="anchor" href="#matplotlib-package"></a>
 </h2>
 <hr class="half-width">
 <p><a href="https://matplotlib.org/" class="external-link">Matplotlib</a> is a Python package
@@ -6998,8 +6905,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="bell"></i>
 </div>
 <div id="tip" class="callout-inner">
-<h3 class="callout-title">Tip<a class="anchor" aria-label="anchor" href="#tip"></a>
-</h3>
+<h3 class="callout-title">Tip</h3>
 <div class="callout-content">
 <p>By default, matplotlib creates a figure in a separate window. When
 using Jupyter notebooks, we can make figures appear in-line within the
@@ -7020,8 +6926,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="bell"></i>
 </div>
 <div id="tip-1" class="callout-inner">
-<h3 class="callout-title">Tip<a class="anchor" aria-label="anchor" href="#tip-1"></a>
-</h3>
+<h3 class="callout-title">Tip</h3>
 <div class="callout-content">
 <p>Matplotlib itself can be overwhelming, so a useful strategy is to do
 as much as you easily can in a convenience layer, <em>i.e.</em> start
@@ -7061,8 +6966,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="bell"></i>
 </div>
 <div id="tip-cross-platform-visualization-of-figures" class="callout-inner">
-<h3 class="callout-title">Tip: Cross-Platform Visualization of Figures<a class="anchor" aria-label="anchor" href="#tip-cross-platform-visualization-of-figures"></a>
-</h3>
+<h3 class="callout-title">Tip: Cross-Platform Visualization of Figures</h3>
 <div class="callout-content">
 <p>Jupyter Notebooks make many aspects of data analysis and
 visualization much simpler. This includes doing some of the labor of
@@ -7113,8 +7017,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="message-circle"></i>
 </div>
 <div id="challenge---drawing-from-distributions" class="callout-inner">
-<h3 class="callout-title">Challenge - Drawing from distributions<a class="anchor" aria-label="anchor" href="#challenge---drawing-from-distributions"></a>
-</h3>
+<h3 class="callout-title">Challenge - Drawing from distributions</h3>
 <div class="callout-content">
 <p>Have a look at <a href="https://docs.scipy.org/doc/numpy/reference/random/index.html" class="external-link"><code>numpy.random</code>
 documentation</a>. Choose a distribution you have no familiarity with,
@@ -7170,8 +7073,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---pandas-and-matplotlib" class="callout-inner">
-<h3 class="callout-title">Challenge - Pandas and matplotlib<a class="anchor" aria-label="anchor" href="#challenge---pandas-and-matplotlib"></a>
-</h3>
+<h3 class="callout-title">Challenge - Pandas and matplotlib</h3>
 <div class="callout-content">
 <p>Load the streamgage data set with Pandas, subset the week of the 2013
 Front Range flood (September 11 through 15) and create a hydrograph
@@ -7242,8 +7144,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="bell"></i>
 </div>
 <div id="tip-saving-figures-in-different-formats" class="callout-inner">
-<h3 class="callout-title">Tip: Saving figures in different formats<a class="anchor" aria-label="anchor" href="#tip-saving-figures-in-different-formats"></a>
-</h3>
+<h3 class="callout-title">Tip: Saving figures in different formats</h3>
 <div class="callout-content">
 <p>Matplotlib recognizes the extension used in the filename and supports
 (on most computers) png, pdf, ps, eps and svg formats.</p>
@@ -7255,8 +7156,7 @@ <h3 class="callout-title">Tip: Saving figures in different formats<a class="anch
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---saving-figure-to-file" class="callout-inner">
-<h3 class="callout-title">Challenge - Saving figure to file<a class="anchor" aria-label="anchor" href="#challenge---saving-figure-to-file"></a>
-</h3>
+<h3 class="callout-title">Challenge - Saving figure to file</h3>
 <div class="callout-content">
 <p>Check the documentation of the <code>savefig</code> method and check
 how you can comply to journals requiring figures as <code>pdf</code>
@@ -7284,7 +7184,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </section><section><h2 class="section-heading" id="make-other-types-of-plots">Make other types of plots:<a class="anchor" aria-label="anchor" href="#make-other-types-of-plots"></a>
-<a class="anchor" aria-label="anchor" href="#make-other-types-of-plots"></a>
 </h2>
 <hr class="half-width">
 <p>Matplotlib can make many other types of plots in much the same way
@@ -7298,8 +7197,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="message-circle"></i>
 </div>
 <div id="challenge---final-plot" class="callout-inner">
-<h3 class="callout-title">Challenge - Final Plot<a class="anchor" aria-label="anchor" href="#challenge---final-plot"></a>
-</h3>
+<h3 class="callout-title">Challenge - Final Plot</h3>
 <div class="callout-content">
 <p>Display your data using one or more plot types from the example
 gallery. Which ones to choose will depend on the content of your own
@@ -7316,8 +7214,7 @@ <h3 class="callout-title">Challenge - Final Plot<a class="anchor" aria-label="an
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul>
 <li>Matplotlib is the engine behind plotnine and Pandas plots.</li>
@@ -7369,7 +7266,6 @@ <h3 class="card-title">Objectives</h3>
 </div>
 </div>
 <section><h2 class="section-heading" id="python-and-sql">Python and SQL<a class="anchor" aria-label="anchor" href="#python-and-sql"></a>
-<a class="anchor" aria-label="anchor" href="#python-and-sql"></a>
 </h2>
 <hr class="half-width">
 <p>When you open a CSV in python, and assign it to a variable name, you
@@ -7439,7 +7335,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </section><section><h2 class="section-heading" id="accessing-data-stored-in-sqlite-using-python-and-pandas">Accessing data stored in SQLite using Python and Pandas<a class="anchor" aria-label="anchor" href="#accessing-data-stored-in-sqlite-using-python-and-pandas"></a>
-<a class="anchor" aria-label="anchor" href="#accessing-data-stored-in-sqlite-using-python-and-pandas"></a>
 </h2>
 <hr class="half-width">
 <p>Using pandas, we can import results of a SQLite query into a
@@ -7462,7 +7357,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <span id="cb3-11"><a href="#cb3-11" tabindex="-1"></a>con.close()</span></code></pre>
 </div>
 </section><section><h2 class="section-heading" id="storing-data-csv-vs-sqlite">Storing data: CSV vs SQLite<a class="anchor" aria-label="anchor" href="#storing-data-csv-vs-sqlite"></a>
-<a class="anchor" aria-label="anchor" href="#storing-data-csv-vs-sqlite"></a>
 </h2>
 <hr class="half-width">
 <p>Storing your data in an SQLite database can provide substantial
@@ -7475,8 +7369,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---sql" class="callout-inner">
-<h3 class="callout-title">Challenge - SQL<a class="anchor" aria-label="anchor" href="#challenge---sql"></a>
-</h3>
+<h3 class="callout-title">Challenge - SQL</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li>Create a query that contains survey data collected between 1998 -
@@ -7495,7 +7388,7 @@ <h3 class="callout-title">Challenge - SQL<a class="anchor" aria-label="anchor" h
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
 <div class="accordion-body">
 <ol style="list-style-type: decimal">
 <li>
@@ -7578,7 +7471,6 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </section><section><h2 class="section-heading" id="storing-data-create-new-tables-using-pandas">Storing data: Create new tables using Pandas<a class="anchor" aria-label="anchor" href="#storing-data-create-new-tables-using-pandas"></a>
-<a class="anchor" aria-label="anchor" href="#storing-data-create-new-tables-using-pandas"></a>
 </h2>
 <hr class="half-width">
 <p>We can also use pandas to create new tables within an SQLite
@@ -7610,8 +7502,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---saving-your-work" class="callout-inner">
-<h3 class="callout-title">Challenge - Saving your work<a class="anchor" aria-label="anchor" href="#challenge---saving-your-work"></a>
-</h3>
+<h3 class="callout-title">Challenge - Saving your work</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li><p>For each of the challenges in the previous challenge block,
@@ -7629,7 +7520,7 @@ <h3 class="callout-title">Challenge - Saving your work<a class="anchor" aria-lab
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution2" aria-expanded="false" aria-controls="collapseSolution2">
   <h4 class="accordion-header" id="headingSolution2"> Show me the solution </h4>
 </button>
-<div id="collapseSolution2" class="accordion-collapse collapse" data-bs-parent="#accordionSolution2" aria-labelledby="headingSolution2">
+<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
 <div class="accordion-body">
 <ol style="list-style-type: decimal">
 <li><div class="codewrapper sourceCode" id="cb9">
@@ -7674,8 +7565,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul>
 <li>sqlite3 provides a SQL-like interface to read, query, and write SQL
@@ -7713,7 +7603,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
         <p>Materials licensed under <a href="LICENSE.html">CC-BY 4.0</a> by the authors</p>
 
         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
-        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.5" class="external-link">sandpaper (0.16.5)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.3" class="external-link">varnish (1.0.3)</a></p>
+        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.6" class="external-link">sandpaper (0.16.6)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.4" class="external-link">varnish (1.0.4)</a></p>
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 		</footer>
 </div> <!-- / div.container -->
@@ -7736,8 +7626,8 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "url": "https://datacarpentry.github.io/python-ecology-lesson/aio.html",
   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/aio.html",
   "dateCreated": "2015-03-19",
-  "dateModified": "2024-08-20",
-  "datePublished": "2024-08-20"
+  "dateModified": "2024-08-27",
+  "datePublished": "2024-08-27"
 }
 
   </script><script>
diff --git a/assets/styles.css b/assets/styles.css
index 58233a7b8..4dc74d328 100644
--- a/assets/styles.css
+++ b/assets/styles.css
@@ -2,4 +2,4 @@
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  * Copyright 2011-2023 The Bootstrap Authors
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reduce){.accordion-button{transition:none}}.accordion-button:not(.collapsed){color:var(--bs-accordion-active-color);background-color:var(--bs-accordion-active-bg);box-shadow:inset 0 calc(-1*var(--bs-accordion-border-width)) 0 var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:"";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media(prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme=dark] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: var(--bs-secondary-color);--bs-breadcrumb-item-padding-x: 0.5rem;--bs-breadcrumb-item-active-color: var(--bs-secondary-color);display:flex;flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, "/") /* rtl: var(--bs-breadcrumb-divider, "/") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: 0.75rem;--bs-pagination-padding-y: 0.375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: var(--bs-link-hover-color);--bs-pagination-hover-bg: var(--bs-tertiary-bg);--bs-pagination-hover-border-color: var(--bs-border-color);--bs-pagination-focus-color: var(--bs-link-hover-color);--bs-pagination-focus-bg: var(--bs-secondary-bg);--bs-pagination-focus-box-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #0d6efd;--bs-pagination-active-border-color: #0d6efd;--bs-pagination-disabled-color: var(--bs-secondary-color);--bs-pagination-disabled-bg: var(--bs-secondary-bg);--bs-pagination-disabled-border-color: var(--bs-border-color);display:flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color .15s ease-in-out,background-color .15s ease-in-out,border-color .15s ease-in-out,box-shadow .15s ease-in-out}@media(prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width) * -1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: 0.75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x: 0.5rem;--bs-pagination-padding-y: 0.25rem;--bs-pagination-font-size:0.875rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: 0.65em;--bs-badge-padding-y: 0.35em;--bs-badge-font-size:0.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:0.75rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #0d6efd;--bs-progress-bar-transition: width 0.6s ease;display:flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;flex-direction:column;justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media(prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media(prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: var(--bs-body-color);--bs-list-group-bg: var(--bs-body-bg);--bs-list-group-border-color: var(--bs-border-color);--bs-list-group-border-width: var(--bs-border-width);--bs-list-group-border-radius: var(--bs-border-radius);--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: 0.5rem;--bs-list-group-action-color: var(--bs-secondary-color);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-tertiary-bg);--bs-list-group-action-active-color: var(--bs-body-color);--bs-list-group-action-active-bg: var(--bs-secondary-bg);--bs-list-group-disabled-color: var(--bs-secondary-color);--bs-list-group-disabled-bg: var(--bs-body-bg);--bs-list-group-active-color: #fff;--bs-list-group-active-bg: #0d6efd;--bs-list-group-active-border-color: #0d6efd;display:flex;flex-direction:column;padding-left:0;margin-bottom:0;border-radius:var(--bs-list-group-border-radius)}.list-group-numbered{list-style-type:none;counter-reset:section}.list-group-numbered>.list-group-item::before{content:counters(section, ".") ". ";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1*var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media(min-width: 576px){.list-group-horizontal-sm{flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 768px){.list-group-horizontal-md{flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 992px){.list-group-horizontal-lg{flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 1200px){.list-group-horizontal-xl{flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 1400px){.list-group-horizontal-xxl{flex-direction:row}.list-group-horizontal-xxl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xxl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xxl>.list-group-item.active{margin-top:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e");--bs-btn-close-opacity: 0.5;--bs-btn-close-hover-opacity: 0.75;--bs-btn-close-focus-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: 0.25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:rgba(0,0,0,0) var(--bs-btn-close-bg) center/1em auto no-repeat;border:0;border-radius:.375rem;opacity:var(--bs-btn-close-opacity)}.btn-close:hover{color:var(--bs-btn-close-color);text-decoration:none;opacity:var(--bs-btn-close-hover-opacity)}.btn-close:focus{outline:0;box-shadow:var(--bs-btn-close-focus-shadow);opacity:var(--bs-btn-close-focus-opacity)}.btn-close:disabled,.btn-close.disabled{pointer-events:none;user-select:none;opacity:var(--bs-btn-close-disabled-opacity)}.btn-close-white{filter:var(--bs-btn-close-white-filter)}[data-bs-theme=dark] .btn-close{filter:var(--bs-btn-close-white-filter)}.toast{--bs-toast-zindex: 1090;--bs-toast-padding-x: 0.75rem;--bs-toast-padding-y: 0.5rem;--bs-toast-spacing: 1.5rem;--bs-toast-max-width: 350px;--bs-toast-font-size:0.875rem;--bs-toast-color: ;--bs-toast-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-border-width: var(--bs-border-width);--bs-toast-border-color: var(--bs-border-color-translucent);--bs-toast-border-radius: var(--bs-border-radius);--bs-toast-box-shadow: var(--bs-box-shadow);--bs-toast-header-color: var(--bs-secondary-color);--bs-toast-header-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-header-border-color: var(--bs-border-color-translucent);width:var(--bs-toast-max-width);max-width:100%;font-size:var(--bs-toast-font-size);color:var(--bs-toast-color);pointer-events:auto;background-color:var(--bs-toast-bg);background-clip:padding-box;border:var(--bs-toast-border-width) solid var(--bs-toast-border-color);box-shadow:var(--bs-toast-box-shadow);border-radius:var(--bs-toast-border-radius)}.toast.showing{opacity:0}.toast:not(.show){display:none}.toast-container{--bs-toast-zindex: 1090;position:absolute;z-index:var(--bs-toast-zindex);width:max-content;max-width:100%;pointer-events:none}.toast-container>:not(:last-child){margin-bottom:var(--bs-toast-spacing)}.toast-header{display:flex;align-items:center;padding:var(--bs-toast-padding-y) var(--bs-toast-padding-x);color:var(--bs-toast-header-color);background-color:var(--bs-toast-header-bg);background-clip:padding-box;border-bottom:var(--bs-toast-border-width) solid var(--bs-toast-header-border-color);border-top-left-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));border-top-right-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width))}.toast-header .btn-close{margin-right:calc(-0.5*var(--bs-toast-padding-x));margin-left:var(--bs-toast-padding-x)}.toast-body{padding:var(--bs-toast-padding-x);word-wrap:break-word}.modal{--bs-modal-zindex: 1055;--bs-modal-width: 500px;--bs-modal-padding: 1rem;--bs-modal-margin: 0.5rem;--bs-modal-color: ;--bs-modal-bg: var(--bs-body-bg);--bs-modal-border-color: var(--bs-border-color-translucent);--bs-modal-border-width: var(--bs-border-width);--bs-modal-border-radius: var(--bs-border-radius-lg);--bs-modal-box-shadow: var(--bs-box-shadow-sm);--bs-modal-inner-border-radius: calc(var(--bs-border-radius-lg) - (var(--bs-border-width)));--bs-modal-header-padding-x: 1rem;--bs-modal-header-padding-y: 1rem;--bs-modal-header-padding: 1rem 1rem;--bs-modal-header-border-color: var(--bs-border-color);--bs-modal-header-border-width: var(--bs-border-width);--bs-modal-title-line-height: 1.5;--bs-modal-footer-gap: 0.5rem;--bs-modal-footer-bg: ;--bs-modal-footer-border-color: var(--bs-border-color);--bs-modal-footer-border-width: var(--bs-border-width);position:fixed;top:0;left:0;z-index:var(--bs-modal-zindex);display:none;width:100%;height:100%;overflow-x:hidden;overflow-y:auto;outline:0}.modal-dialog{position:relative;width:auto;margin:var(--bs-modal-margin);pointer-events:none}.modal.fade .modal-dialog{transition:transform .3s ease-out;transform:translate(0, -50px)}@media(prefers-reduced-motion: reduce){.modal.fade .modal-dialog{transition:none}}.modal.show .modal-dialog{transform:none}.modal.modal-static 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0.25rem;--bs-tooltip-margin: ;--bs-tooltip-font-size:0.875rem;--bs-tooltip-color: var(--bs-body-bg);--bs-tooltip-bg: var(--bs-emphasis-color);--bs-tooltip-border-radius: var(--bs-border-radius);--bs-tooltip-opacity: 0.9;--bs-tooltip-arrow-width: 0.8rem;--bs-tooltip-arrow-height: 0.4rem;z-index:var(--bs-tooltip-zindex);display:block;margin:var(--bs-tooltip-margin);font-family:var(--bs-font-sans-serif);font-style:normal;font-weight:400;line-height:1.5;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;white-space:normal;word-spacing:normal;line-break:auto;font-size:var(--bs-tooltip-font-size);word-wrap:break-word;opacity:0}.tooltip.show{opacity:var(--bs-tooltip-opacity)}.tooltip .tooltip-arrow{display:block;width:var(--bs-tooltip-arrow-width);height:var(--bs-tooltip-arrow-height)}.tooltip .tooltip-arrow::before{position:absolute;content:"";border-color:rgba(0,0,0,0);border-style:solid}.bs-tooltip-top .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^=top] .tooltip-arrow{bottom:calc(-1*var(--bs-tooltip-arrow-height))}.bs-tooltip-top .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^=top] .tooltip-arrow::before{top:-1px;border-width:var(--bs-tooltip-arrow-height) calc(var(--bs-tooltip-arrow-width)*.5) 0;border-top-color:var(--bs-tooltip-bg)}.bs-tooltip-end .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^=right] .tooltip-arrow{left:calc(-1*var(--bs-tooltip-arrow-height));width:var(--bs-tooltip-arrow-height);height:var(--bs-tooltip-arrow-width)}.bs-tooltip-end .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^=right] .tooltip-arrow::before{right:-1px;border-width:calc(var(--bs-tooltip-arrow-width)*.5) var(--bs-tooltip-arrow-height) calc(var(--bs-tooltip-arrow-width)*.5) 0;border-right-color:var(--bs-tooltip-bg)}.bs-tooltip-bottom .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^=bottom] 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var(--bs-body-color);--bs-dropdown-bg: var(--bs-body-bg);--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-border-radius: var(--bs-border-radius);--bs-dropdown-border-width: var(--bs-border-width);--bs-dropdown-inner-border-radius: calc(var(--bs-border-radius) - var(--bs-border-width));--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-divider-margin-y: 0.5rem;--bs-dropdown-box-shadow: var(--bs-box-shadow);--bs-dropdown-link-color: var(--bs-body-color);--bs-dropdown-link-hover-color: var(--bs-body-color);--bs-dropdown-link-hover-bg: var(--bs-tertiary-bg);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #0d6efd;--bs-dropdown-link-disabled-color: var(--bs-tertiary-color);--bs-dropdown-item-padding-x: 1rem;--bs-dropdown-item-padding-y: 0.25rem;--bs-dropdown-header-color: #6c757d;--bs-dropdown-header-padding-x: 1rem;--bs-dropdown-header-padding-y: 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768px){.dropdown-menu-md-start{--bs-position: start}.dropdown-menu-md-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-md-end{--bs-position: end}.dropdown-menu-md-end[data-bs-popper]{right:0;left:auto}}@media(min-width: 992px){.dropdown-menu-lg-start{--bs-position: start}.dropdown-menu-lg-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-lg-end{--bs-position: end}.dropdown-menu-lg-end[data-bs-popper]{right:0;left:auto}}@media(min-width: 1200px){.dropdown-menu-xl-start{--bs-position: start}.dropdown-menu-xl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xl-end{--bs-position: end}.dropdown-menu-xl-end[data-bs-popper]{right:0;left:auto}}@media(min-width: 1400px){.dropdown-menu-xxl-start{--bs-position: start}.dropdown-menu-xxl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xxl-end{--bs-position: end}.dropdown-menu-xxl-end[data-bs-popper]{right:0;left:auto}}.dropup 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.dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:""}.dropstart .dropdown-toggle::after{display:none}.dropstart .dropdown-toggle::before{display:inline-block;margin-right:.255em;vertical-align:.255em;content:"";border-top:.3em solid rgba(0,0,0,0);border-right:.3em solid;border-bottom:.3em solid rgba(0,0,0,0)}.dropstart .dropdown-toggle:empty::after{margin-left:0}.dropstart .dropdown-toggle::before{vertical-align:0}.dropdown-divider{height:0;margin:var(--bs-dropdown-divider-margin-y) 0;overflow:hidden;border-top:1px solid var(--bs-dropdown-divider-bg);opacity:1}.dropdown-item{display:block;width:100%;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);clear:both;font-weight:400;color:var(--bs-dropdown-link-color);text-align:inherit;text-decoration:none;white-space:nowrap;background-color:rgba(0,0,0,0);border:0;border-radius:var(--bs-dropdown-item-border-radius, 0)}.dropdown-item:hover,.dropdown-item:focus{color:var(--bs-dropdown-link-hover-color);background-color:var(--bs-dropdown-link-hover-bg)}.dropdown-item.active,.dropdown-item:active{color:var(--bs-dropdown-link-active-color);text-decoration:none;background-color:var(--bs-dropdown-link-active-bg)}.dropdown-item.disabled,.dropdown-item:disabled{color:var(--bs-dropdown-link-disabled-color);pointer-events:none;background-color:rgba(0,0,0,0)}.dropdown-menu.show{display:block}.dropdown-header{display:block;padding:var(--bs-dropdown-header-padding-y) var(--bs-dropdown-header-padding-x);margin-bottom:0;font-size:0.875rem;color:var(--bs-dropdown-header-color);white-space:nowrap}.dropdown-item-text{display:block;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);color:var(--bs-dropdown-link-color)}.dropdown-menu-dark{--bs-dropdown-color: #dee2e6;--bs-dropdown-bg: #343a40;--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-box-shadow: ;--bs-dropdown-link-color: #dee2e6;--bs-dropdown-link-hover-color: #fff;--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-link-hover-bg: rgba(255, 255, 255, 0.15);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #0d6efd;--bs-dropdown-link-disabled-color: #adb5bd;--bs-dropdown-header-color: #adb5bd}.btn-group,.btn-group-vertical{position:relative;display:inline-flex;vertical-align:middle}.btn-group>.btn,.btn-group-vertical>.btn{position:relative;flex:1 1 auto}.btn-group>.btn-check:checked+.btn,.btn-group>.btn-check:focus+.btn,.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn-check:checked+.btn,.btn-group-vertical>.btn-check:focus+.btn,.btn-group-vertical>.btn:hover,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn.active{z-index:1}.btn-toolbar{display:flex;flex-wrap:wrap;justify-content:flex-start}.btn-toolbar .input-group{width:auto}.btn-group{border-radius:var(--bs-border-radius)}.btn-group>:not(.btn-check:first-child)+.btn,.btn-group>.btn-group:not(:first-child){margin-left:calc(var(--bs-border-width) * -1)}.btn-group>.btn:not(:last-child):not(.dropdown-toggle),.btn-group>.btn.dropdown-toggle-split:first-child,.btn-group>.btn-group:not(:last-child)>.btn{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:nth-child(n+3),.btn-group>:not(.btn-check)+.btn,.btn-group>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-bottom-left-radius:0}.dropdown-toggle-split{padding-right:.5625rem;padding-left:.5625rem}.dropdown-toggle-split::after,.dropup .dropdown-toggle-split::after,.dropend .dropdown-toggle-split::after{margin-left:0}.dropstart .dropdown-toggle-split::before{margin-right:0}.btn-sm+.dropdown-toggle-split,.btn-group-sm>.btn+.dropdown-toggle-split{padding-right:.375rem;padding-left:.375rem}.btn-lg+.dropdown-toggle-split,.btn-group-lg>.btn+.dropdown-toggle-split{padding-right:.75rem;padding-left:.75rem}.btn-group-vertical{flex-direction:column;align-items:flex-start;justify-content:center}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group{width:100%}.btn-group-vertical>.btn:not(:first-child),.btn-group-vertical>.btn-group:not(:first-child){margin-top:calc(var(--bs-border-width) * -1)}.btn-group-vertical>.btn:not(:last-child):not(.dropdown-toggle),.btn-group-vertical>.btn-group:not(:last-child)>.btn{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn~.btn,.btn-group-vertical>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-top-right-radius:0}.nav{--bs-nav-link-padding-x: 1rem;--bs-nav-link-padding-y: 0.5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: var(--bs-link-color);--bs-nav-link-hover-color: var(--bs-link-hover-color);--bs-nav-link-disabled-color: var(--bs-secondary-color);display:flex;flex-wrap:wrap;padding-left:0;margin-bottom:0;list-style:none}.nav-link{display:block;padding:var(--bs-nav-link-padding-y) var(--bs-nav-link-padding-x);font-size:var(--bs-nav-link-font-size);font-weight:var(--bs-nav-link-font-weight);color:var(--bs-nav-link-color);text-decoration:none;background:none;border:0;transition:color .15s ease-in-out,background-color .15s ease-in-out,border-color .15s ease-in-out}@media(prefers-reduced-motion: reduce){.nav-link{transition:none}}.nav-link:hover,.nav-link:focus{color:var(--bs-nav-link-hover-color)}.nav-link:focus-visible{outline:0;box-shadow:0 0 0 .25rem rgba(13,110,253,.25)}.nav-link.disabled,.nav-link:disabled{color:var(--bs-nav-link-disabled-color);pointer-events:none;cursor:default}.nav-tabs{--bs-nav-tabs-border-width: var(--bs-border-width);--bs-nav-tabs-border-color: var(--bs-border-color);--bs-nav-tabs-border-radius: var(--bs-border-radius);--bs-nav-tabs-link-hover-border-color: var(--bs-secondary-bg) var(--bs-secondary-bg) var(--bs-border-color);--bs-nav-tabs-link-active-color: var(--bs-emphasis-color);--bs-nav-tabs-link-active-bg: var(--bs-body-bg);--bs-nav-tabs-link-active-border-color: var(--bs-border-color) var(--bs-border-color) var(--bs-body-bg);border-bottom:var(--bs-nav-tabs-border-width) solid var(--bs-nav-tabs-border-color)}.nav-tabs .nav-link{margin-bottom:calc(-1*var(--bs-nav-tabs-border-width));border:var(--bs-nav-tabs-border-width) solid rgba(0,0,0,0);border-top-left-radius:var(--bs-nav-tabs-border-radius);border-top-right-radius:var(--bs-nav-tabs-border-radius)}.nav-tabs .nav-link:hover,.nav-tabs .nav-link:focus{isolation:isolate;border-color:var(--bs-nav-tabs-link-hover-border-color)}.nav-tabs .nav-link.active,.nav-tabs .nav-item.show .nav-link{color:var(--bs-nav-tabs-link-active-color);background-color:var(--bs-nav-tabs-link-active-bg);border-color:var(--bs-nav-tabs-link-active-border-color)}.nav-tabs .dropdown-menu{margin-top:calc(-1*var(--bs-nav-tabs-border-width));border-top-left-radius:0;border-top-right-radius:0}.nav-pills{--bs-nav-pills-border-radius: var(--bs-border-radius);--bs-nav-pills-link-active-color: #fff;--bs-nav-pills-link-active-bg: #0d6efd}.nav-pills .nav-link{border-radius:var(--bs-nav-pills-border-radius)}.nav-pills .nav-link.active,.nav-pills .show>.nav-link{color:var(--bs-nav-pills-link-active-color);background-color:var(--bs-nav-pills-link-active-bg)}.nav-underline{--bs-nav-underline-gap: 1rem;--bs-nav-underline-border-width: 0.125rem;--bs-nav-underline-link-active-color: var(--bs-emphasis-color);gap:var(--bs-nav-underline-gap)}.nav-underline .nav-link{padding-right:0;padding-left:0;border-bottom:var(--bs-nav-underline-border-width) solid rgba(0,0,0,0)}.nav-underline .nav-link:hover,.nav-underline .nav-link:focus{border-bottom-color:currentcolor}.nav-underline .nav-link.active,.nav-underline .show>.nav-link{font-weight:700;color:var(--bs-nav-underline-link-active-color);border-bottom-color:currentcolor}.nav-fill>.nav-link,.nav-fill .nav-item{flex:1 1 auto;text-align:center}.nav-justified>.nav-link,.nav-justified .nav-item{flex-basis:0;flex-grow:1;text-align:center}.nav-fill .nav-item .nav-link,.nav-justified .nav-item .nav-link{width:100%}.tab-content>.tab-pane{display:none}.tab-content>.active{display:block}.navbar{--bs-navbar-padding-x: 0;--bs-navbar-padding-y: 0.5rem;--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.65);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.8);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.3);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-padding-y: 0.3125rem;--bs-navbar-brand-margin-end: 1rem;--bs-navbar-brand-font-size: 1.25rem;--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-nav-link-padding-x: 0.5rem;--bs-navbar-toggler-padding-y: 0.25rem;--bs-navbar-toggler-padding-x: 0.75rem;--bs-navbar-toggler-font-size: 1.25rem;--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%2833, 37, 41, 0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e");--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.15);--bs-navbar-toggler-border-radius: var(--bs-border-radius);--bs-navbar-toggler-focus-width: 0.25rem;--bs-navbar-toggler-transition: box-shadow 0.15s ease-in-out;position:relative;display:flex;flex-wrap:wrap;align-items:center;justify-content:space-between;padding:var(--bs-navbar-padding-y) 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.nav-link.show{color:var(--bs-navbar-active-color)}.navbar-nav .dropdown-menu{position:static}.navbar-text{padding-top:.5rem;padding-bottom:.5rem;color:var(--bs-navbar-color)}.navbar-text a,.navbar-text a:hover,.navbar-text a:focus{color:var(--bs-navbar-active-color)}.navbar-collapse{flex-basis:100%;flex-grow:1;align-items:center}.navbar-toggler{padding:var(--bs-navbar-toggler-padding-y) var(--bs-navbar-toggler-padding-x);font-size:var(--bs-navbar-toggler-font-size);line-height:1;color:var(--bs-navbar-color);background-color:rgba(0,0,0,0);border:var(--bs-border-width) solid var(--bs-navbar-toggler-border-color);border-radius:var(--bs-navbar-toggler-border-radius);transition:var(--bs-navbar-toggler-transition)}@media(prefers-reduced-motion: reduce){.navbar-toggler{transition:none}}.navbar-toggler:hover{text-decoration:none}.navbar-toggler:focus{text-decoration:none;outline:0;box-shadow:0 0 0 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!important;transform:none !important;transition:none}.navbar-expand-md .offcanvas .offcanvas-header{display:none}.navbar-expand-md .offcanvas .offcanvas-body{display:flex;flex-grow:0;padding:0;overflow-y:visible}}@media(min-width: 992px){.navbar-expand-lg{flex-wrap:nowrap;justify-content:flex-start}.navbar-expand-lg .navbar-nav{flex-direction:row}.navbar-expand-lg .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-lg .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-lg .navbar-nav-scroll{overflow:visible}.navbar-expand-lg .navbar-collapse{display:flex !important;flex-basis:auto}.navbar-expand-lg .navbar-toggler{display:none}.navbar-expand-lg .offcanvas{position:static;z-index:auto;flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:rgba(0,0,0,0) !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-lg .offcanvas .offcanvas-header{display:none}.navbar-expand-lg .offcanvas .offcanvas-body{display:flex;flex-grow:0;padding:0;overflow-y:visible}}@media(min-width: 1200px){.navbar-expand-xl{flex-wrap:nowrap;justify-content:flex-start}.navbar-expand-xl .navbar-nav{flex-direction:row}.navbar-expand-xl .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-xl .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-xl .navbar-nav-scroll{overflow:visible}.navbar-expand-xl .navbar-collapse{display:flex !important;flex-basis:auto}.navbar-expand-xl .navbar-toggler{display:none}.navbar-expand-xl .offcanvas{position:static;z-index:auto;flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:rgba(0,0,0,0) !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xl .offcanvas .offcanvas-header{display:none}.navbar-expand-xl .offcanvas .offcanvas-body{display:flex;flex-grow:0;padding:0;overflow-y:visible}}@media(min-width: 1400px){.navbar-expand-xxl{flex-wrap:nowrap;justify-content:flex-start}.navbar-expand-xxl .navbar-nav{flex-direction:row}.navbar-expand-xxl .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-xxl .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-xxl .navbar-nav-scroll{overflow:visible}.navbar-expand-xxl .navbar-collapse{display:flex !important;flex-basis:auto}.navbar-expand-xxl .navbar-toggler{display:none}.navbar-expand-xxl .offcanvas{position:static;z-index:auto;flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:rgba(0,0,0,0) !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xxl .offcanvas .offcanvas-header{display:none}.navbar-expand-xxl .offcanvas .offcanvas-body{display:flex;flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;flex-basis:auto}.navbar-expand .navbar-toggler{display:none}.navbar-expand .offcanvas{position:static;z-index:auto;flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:rgba(0,0,0,0) !important;border:0 !important;transform:none !important;transition:none}.navbar-expand .offcanvas .offcanvas-header{display:none}.navbar-expand .offcanvas .offcanvas-body{display:flex;flex-grow:0;padding:0;overflow-y:visible}.navbar-dark,.navbar[data-bs-theme=dark]{--bs-navbar-color: rgba(255, 255, 255, 0.55);--bs-navbar-hover-color: rgba(255, 255, 255, 0.75);--bs-navbar-disabled-color: rgba(255, 255, 255, 0.25);--bs-navbar-active-color: #fff;--bs-navbar-brand-color: #fff;--bs-navbar-brand-hover-color: #fff;--bs-navbar-toggler-border-color: rgba(255, 255, 255, 0.1);--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255, 255, 255, 0.55%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}[data-bs-theme=dark] .navbar-toggler-icon{--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255, 255, 255, 0.55%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}.card{--bs-card-spacer-y: 1rem;--bs-card-spacer-x: 1rem;--bs-card-title-spacer-y: 0.5rem;--bs-card-title-color: ;--bs-card-subtitle-color: ;--bs-card-border-width: var(--bs-border-width);--bs-card-border-color: var(--bs-border-color-translucent);--bs-card-border-radius: var(--bs-border-radius);--bs-card-box-shadow: ;--bs-card-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-card-cap-padding-y: 0.5rem;--bs-card-cap-padding-x: 1rem;--bs-card-cap-bg: rgba(var(--bs-body-color-rgb), 0.03);--bs-card-cap-color: ;--bs-card-height: ;--bs-card-color: ;--bs-card-bg: var(--bs-body-bg);--bs-card-img-overlay-padding: 1rem;--bs-card-group-margin: 0.75rem;position:relative;display:flex;flex-direction:column;min-width:0;height:var(--bs-card-height);color:var(--bs-body-color);word-wrap:break-word;background-color:var(--bs-card-bg);background-clip:border-box;border:var(--bs-card-border-width) solid var(--bs-card-border-color);border-radius:var(--bs-card-border-radius)}.card>hr{margin-right:0;margin-left:0}.card>.list-group{border-top:inherit;border-bottom:inherit}.card>.list-group:first-child{border-top-width:0;border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card>.list-group:last-child{border-bottom-width:0;border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card>.card-header+.list-group,.card>.list-group+.card-footer{border-top:0}.card-body{flex:1 1 auto;padding:var(--bs-card-spacer-y) var(--bs-card-spacer-x);color:var(--bs-card-color)}.card-title{margin-bottom:var(--bs-card-title-spacer-y);color:var(--bs-card-title-color)}.card-subtitle{margin-top:calc(-0.5*var(--bs-card-title-spacer-y));margin-bottom:0;color:var(--bs-card-subtitle-color)}.card-text:last-child{margin-bottom:0}.card-link+.card-link{margin-left:var(--bs-card-spacer-x)}.card-header{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);margin-bottom:0;color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-bottom:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-header:first-child{border-radius:var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius) 0 0}.card-footer{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-top:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-footer:last-child{border-radius:0 0 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.nav-link.active{background-color:var(--bs-card-bg);border-bottom-color:var(--bs-card-bg)}.card-header-pills{margin-right:calc(-0.5*var(--bs-card-cap-padding-x));margin-left:calc(-0.5*var(--bs-card-cap-padding-x))}.card-img-overlay{position:absolute;top:0;right:0;bottom:0;left:0;padding:var(--bs-card-img-overlay-padding);border-radius:var(--bs-card-inner-border-radius)}.card-img,.card-img-top,.card-img-bottom{width:100%}.card-img,.card-img-top{border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card-img,.card-img-bottom{border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card-group>.card{margin-bottom:var(--bs-card-group-margin)}@media(min-width: 576px){.card-group{display:flex;flex-flow:row wrap}.card-group>.card{flex:1 0 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0 16 16' fill='%23052c65'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-focus-border-color: #86b7fe;--bs-accordion-btn-focus-box-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);--bs-accordion-body-padding-x: 1.25rem;--bs-accordion-body-padding-y: 1rem;--bs-accordion-active-color: var(--bs-primary-text-emphasis);--bs-accordion-active-bg: var(--bs-primary-bg-subtle)}.accordion-button{position:relative;display:flex;align-items:center;width:100%;padding:var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);font-size:1rem;color:var(--bs-accordion-btn-color);text-align:left;background-color:var(--bs-accordion-btn-bg);border:0;border-radius:0;overflow-anchor:none;transition:var(--bs-accordion-transition)}@media(prefers-reduced-motion: reduce){.accordion-button{transition:none}}.accordion-button:not(.collapsed){color:var(--bs-accordion-active-color);background-color:var(--bs-accordion-active-bg);box-shadow:inset 0 calc(-1*var(--bs-accordion-border-width)) 0 var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:"";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media(prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme=dark] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: var(--bs-secondary-color);--bs-breadcrumb-item-padding-x: 0.5rem;--bs-breadcrumb-item-active-color: var(--bs-secondary-color);display:flex;flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, "/") /* rtl: var(--bs-breadcrumb-divider, "/") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: 0.75rem;--bs-pagination-padding-y: 0.375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: var(--bs-link-hover-color);--bs-pagination-hover-bg: var(--bs-tertiary-bg);--bs-pagination-hover-border-color: var(--bs-border-color);--bs-pagination-focus-color: var(--bs-link-hover-color);--bs-pagination-focus-bg: var(--bs-secondary-bg);--bs-pagination-focus-box-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #0d6efd;--bs-pagination-active-border-color: #0d6efd;--bs-pagination-disabled-color: var(--bs-secondary-color);--bs-pagination-disabled-bg: var(--bs-secondary-bg);--bs-pagination-disabled-border-color: var(--bs-border-color);display:flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color .15s ease-in-out,background-color .15s ease-in-out,border-color .15s ease-in-out,box-shadow .15s ease-in-out}@media(prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width) * -1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: 0.75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x: 0.5rem;--bs-pagination-padding-y: 0.25rem;--bs-pagination-font-size:0.875rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: 0.65em;--bs-badge-padding-y: 0.35em;--bs-badge-font-size:0.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:0.75rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #0d6efd;--bs-progress-bar-transition: width 0.6s ease;display:flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;flex-direction:column;justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media(prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media(prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: var(--bs-body-color);--bs-list-group-bg: var(--bs-body-bg);--bs-list-group-border-color: var(--bs-border-color);--bs-list-group-border-width: var(--bs-border-width);--bs-list-group-border-radius: var(--bs-border-radius);--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: 0.5rem;--bs-list-group-action-color: var(--bs-secondary-color);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-tertiary-bg);--bs-list-group-action-active-color: var(--bs-body-color);--bs-list-group-action-active-bg: var(--bs-secondary-bg);--bs-list-group-disabled-color: var(--bs-secondary-color);--bs-list-group-disabled-bg: var(--bs-body-bg);--bs-list-group-active-color: #fff;--bs-list-group-active-bg: #0d6efd;--bs-list-group-active-border-color: #0d6efd;display:flex;flex-direction:column;padding-left:0;margin-bottom:0;border-radius:var(--bs-list-group-border-radius)}.list-group-numbered{list-style-type:none;counter-reset:section}.list-group-numbered>.list-group-item::before{content:counters(section, ".") 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var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e");--bs-btn-close-opacity: 0.5;--bs-btn-close-hover-opacity: 0.75;--bs-btn-close-focus-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: 0.25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:rgba(0,0,0,0) var(--bs-btn-close-bg) center/1em auto 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calc(var(--bs-border-radius-lg) - (var(--bs-border-width)));--bs-modal-header-padding-x: 1rem;--bs-modal-header-padding-y: 1rem;--bs-modal-header-padding: 1rem 1rem;--bs-modal-header-border-color: var(--bs-border-color);--bs-modal-header-border-width: var(--bs-border-width);--bs-modal-title-line-height: 1.5;--bs-modal-footer-gap: 0.5rem;--bs-modal-footer-bg: ;--bs-modal-footer-border-color: var(--bs-border-color);--bs-modal-footer-border-width: var(--bs-border-width);position:fixed;top:0;left:0;z-index:var(--bs-modal-zindex);display:none;width:100%;height:100%;overflow-x:hidden;overflow-y:auto;outline:0}.modal-dialog{position:relative;width:auto;margin:var(--bs-modal-margin);pointer-events:none}.modal.fade .modal-dialog{transition:transform .3s ease-out;transform:translate(0, -50px)}@media(prefers-reduced-motion: reduce){.modal.fade .modal-dialog{transition:none}}.modal.show .modal-dialog{transform:none}.modal.modal-static 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diff --git a/assets/styles.css.map b/assets/styles.css.map
index 20331e4b1..8bfaddeba 100644
--- a/assets/styles.css.map
+++ b/assets/styles.css.map
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   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/discuss.html",
   "dateCreated": "2015-03-19",
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@@ -355,17 +355,14 @@ <h1>Extra Challenges</h1>
 
 <p>A collection of challenges that have been either removed from or not
 (yet) added to the main lesson.</p>
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-<hr class="half-width"></section><section><h2 class="section-heading" id="index-slice-subset">03-index-slice-subset<a class="anchor" aria-label="anchor" href="#index-slice-subset"></a>
-<a class="anchor" aria-label="anchor" href="#index-slice-subset"></a></h2>
+<section><h2 class="section-heading" id="loops-and-functions">06-loops-and-functions<a class="anchor" aria-label="anchor" href="#loops-and-functions"></a></h2>
+<hr class="half-width"></section><section><h2 class="section-heading" id="index-slice-subset">03-index-slice-subset<a class="anchor" aria-label="anchor" href="#index-slice-subset"></a></h2>
 <hr class="half-width"><div id="additional-slicing-challenge" class="callout challenge">
 <div class="callout-square">
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="additional-slicing-challenge" class="callout-inner">
-<h3 class="callout-title">Additional slicing challenge<a class="anchor" aria-label="anchor" href="#additional-slicing-challenge"></a>
-</h3>
+<h3 class="callout-title">Additional slicing challenge</h3>
 <div class="callout-content">
 <p>You can also select every Nth row by providing a third number inside
 the <code>[]</code>, e.g. <code>surveys_df[1:10:2]</code> returns every
@@ -404,8 +401,7 @@ <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="looping-over-dataframe" class="callout-inner">
-<h3 class="callout-title">Looping Over DataFrame<a class="anchor" aria-label="anchor" href="#looping-over-dataframe"></a>
-</h3>
+<h3 class="callout-title">Looping Over DataFrame</h3>
 <div class="callout-content">
 <p>The file <code>surveys.csv</code> in the <code>data</code> folder
 contains 25 years of data from surveys, starting from 1977. We can
@@ -487,7 +483,7 @@ <h4 class="accordion-header" id="headingSolution2"> Show me the solution </h4>
         <p>Materials licensed under <a href="LICENSE.html">CC-BY 4.0</a> by the authors</p>
 
         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
-        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.5" class="external-link">sandpaper (0.16.5)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.3" class="external-link">varnish (1.0.3)</a></p>
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 	<div id="to-top">
@@ -510,7 +506,7 @@ <h4 class="accordion-header" id="headingSolution2"> Show me the solution </h4>
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   "dateModified": "2023-05-18",
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diff --git a/images.html b/images.html
index 67da0da36..d9033cb18 100644
--- a/images.html
+++ b/images.html
@@ -358,10 +358,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
             </div>
 
             <hr class="half-width">
-<div class="accordion accordion-flush resources" id="accordionFlush12">
+<div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
                     RESOURCES
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@@ -385,7 +385,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
                 </div>
               </div>
             </div>
-            <hr class="half-width resources">
+            <hr class="half-width lesson-resources">
 <a href="aio.html">See all in one page</a>
 
 
@@ -562,7 +562,7 @@ <h3 id="08-putting-it-all-together-figure-6">Figure 6</h3>
         <p>Materials licensed under <a href="LICENSE.html">CC-BY 4.0</a> by the authors</p>
 
         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
-        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.5" class="external-link">sandpaper (0.16.5)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.3" class="external-link">varnish (1.0.3)</a></p>
+        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.6" class="external-link">sandpaper (0.16.6)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.4" class="external-link">varnish (1.0.4)</a></p>
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 </div> <!-- / div.container -->
@@ -585,8 +585,8 @@ <h3 id="08-putting-it-all-together-figure-6">Figure 6</h3>
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 }
 
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diff --git a/index.html b/index.html
index 34841fad6..f90c4bcc8 100644
--- a/index.html
+++ b/index.html
@@ -300,10 +300,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
                     RESOURCES
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                 </h2>
@@ -323,7 +323,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
                 </div>
               </div>
             </div>
-            <hr class="half-width resources"><a href="aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
@@ -362,8 +362,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
 <i class="callout-icon" data-feather="check"></i>
 </div>
 <div id="getting-started" class="callout-inner">
-<h3 class="callout-title">Getting Started<a class="anchor" aria-label="anchor" href="#getting-started"></a>
-</h3>
+<h3 class="callout-title">Getting Started</h3>
 <div class="callout-content">
 <p>Data Carpentry’s teaching is hands-on, so participants are encouraged
 to use their own computers to ensure the proper setup of tools for an
@@ -385,8 +384,7 @@ <h4 id="prerequisites">Prerequisites<a class="anchor" aria-label="anchor" href="
 <i class="callout-icon" data-feather="check"></i>
 </div>
 <div id="for-instructors" class="callout-inner">
-<h3 class="callout-title">For Instructors<a class="anchor" aria-label="anchor" href="#for-instructors"></a>
-</h3>
+<h3 class="callout-title">For Instructors</h3>
 <div class="callout-content">
 <p>If you are teaching this lesson in a workshop, please see the <a href="instructor-notes.html">Instructor notes</a>.</p>
 </div>
@@ -399,8 +397,7 @@ <h3 class="callout-title">For Instructors<a class="anchor" aria-label="anchor" h
 <i class="callout-icon" data-feather="check"></i>
 </div>
 <div id="data" class="callout-inner">
-<h3 class="callout-title">Data<a class="anchor" aria-label="anchor" href="#data"></a>
-</h3>
+<h3 class="callout-title">Data</h3>
 <div class="callout-content">
 <p>Data for this lesson is from the <a href="https://figshare.com/articles/Portal_Project_Teaching_Database/1314459" class="external-link">Portal
 Project Teaching Database</a>. Specifically, we use the following eight
@@ -425,8 +422,7 @@ <h3 class="callout-title">Data<a class="anchor" aria-label="anchor" href="#data"
 <i class="callout-icon" data-feather="check"></i>
 </div>
 <div id="installing-python-using-anaconda" class="callout-inner">
-<h3 class="callout-title">Installing Python using Anaconda<a class="anchor" aria-label="anchor" href="#installing-python-using-anaconda"></a>
-</h3>
+<h3 class="callout-title">Installing Python using Anaconda</h3>
 <div class="callout-content">
 <p><a href="https://www.python.org/" class="external-link">Python</a> is a popular language
 for scientific computing, and great for general-purpose programming as
@@ -444,8 +440,7 @@ <h3 class="callout-title">Installing Python using Anaconda<a class="anchor" aria
 <i class="callout-icon" data-feather="message-circle"></i>
 </div>
 <div id="installing-anaconda" class="callout-inner">
-<h3 class="callout-title">Installing Anaconda<a class="anchor" aria-label="anchor" href="#installing-anaconda"></a>
-</h3>
+<h3 class="callout-title">Installing Anaconda</h3>
 <div class="callout-content">
 <p>Select your operating system from the options below.</p>
 </div>
@@ -557,8 +552,7 @@ <h3 class="code-label">BASH<i aria-hidden="true" data-feather="chevron-left"></i
 </div>
 </div>
 </div>
-<section><h2 class="section-heading" id="required-python-packages">Required Python Packages<a class="anchor" aria-label="anchor" href="#required-python-packages"></a>
-<a class="anchor" aria-label="anchor" href="#required-python-packages"></a></h2>
+<section><h2 class="section-heading" id="required-python-packages">Required Python Packages<a class="anchor" aria-label="anchor" href="#required-python-packages"></a></h2>
 <hr class="half-width"><p>The following are packages needed for this workshop:</p>
 <ul><li><a href="https://pandas.pydata.org/" class="external-link">Pandas</a></li>
 <li><a href="https://jupyter.org/" class="external-link">Jupyter notebook</a></li>
@@ -578,8 +572,7 @@ <h3 class="code-label">BASH<i aria-hidden="true" data-feather="chevron-left"></i
 </div>
 <p>This will then install the latest version of plotnine into your conda
 environment.</p>
-</section><section><h2 class="section-heading" id="required-packages-miniconda">Required packages: Miniconda<a class="anchor" aria-label="anchor" href="#required-packages-miniconda"></a>
-<a class="anchor" aria-label="anchor" href="#required-packages-miniconda"></a></h2>
+</section><section><h2 class="section-heading" id="required-packages-miniconda">Required packages: Miniconda<a class="anchor" aria-label="anchor" href="#required-packages-miniconda"></a></h2>
 <hr class="half-width"><p>Miniconda is a lightweight version of Anaconda. If you install
 Miniconda instead of Anaconda, you need to install required packages
 manually in the following way:</p>
@@ -614,8 +607,7 @@ <h3 class="code-label">BASH<i aria-hidden="true" data-feather="chevron-left"></i
 <pre class="sourceCode bash" tabindex="0"><code class="sourceCode bash"><span id="cb8-1"><a href="#cb8-1" tabindex="-1"></a><span class="ex">conda</span> deactivate</span></code></pre>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="launch-a-jupyter-notebook">Launch a Jupyter notebook<a class="anchor" aria-label="anchor" href="#launch-a-jupyter-notebook"></a>
-<a class="anchor" aria-label="anchor" href="#launch-a-jupyter-notebook"></a></h2>
+</section><section><h2 class="section-heading" id="launch-a-jupyter-notebook">Launch a Jupyter notebook<a class="anchor" aria-label="anchor" href="#launch-a-jupyter-notebook"></a></h2>
 <hr class="half-width"><p>After installing either Anaconda or Miniconda and the workshop
 packages, launch a Jupyter notebook by typing this command into the
 <em>terminal</em> or <em>anaconda-prompt</em>:</p>
@@ -632,8 +624,7 @@ <h3 class="code-label">BASH<i aria-hidden="true" data-feather="chevron-left"></i
 </div>
 <div id="leave-terminal-used-to-launch-jupyter-open" class="callout-inner">
 <h3 class="callout-title">Leave terminal used to launch Jupyter
-open<a class="anchor" aria-label="anchor" href="#leave-terminal-used-to-launch-jupyter-open"></a>
-</h3>
+open</h3>
 <div class="callout-content">
 <p>Jupyter depends on a server running in the background associated with
 the window used to launch it. Closing that window will results in web
@@ -673,7 +664,7 @@ <h3 class="callout-title">Leave terminal used to launch Jupyter
         <p>Materials licensed under <a href="LICENSE.html">CC-BY 4.0</a> by the authors</p>
 
         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
-        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.5" class="external-link">sandpaper (0.16.5)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.3" class="external-link">varnish (1.0.3)</a></p>
+        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.6" class="external-link">sandpaper (0.16.6)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.4" class="external-link">varnish (1.0.4)</a></p>
 			</div>
 		</footer></div> <!-- / div.container -->
 	<div id="to-top">
@@ -695,8 +686,8 @@ <h3 class="callout-title">Leave terminal used to launch Jupyter
   "url": "https://datacarpentry.github.io/python-ecology-lesson/index.html",
   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/index.html",
   "dateCreated": "2015-03-19",
-  "dateModified": "2024-08-20",
-  "datePublished": "2024-08-20"
+  "dateModified": "2024-08-27",
+  "datePublished": "2024-08-27"
 }
 
   </script><script>
diff --git a/instructor-notes.html b/instructor-notes.html
index 77768e83f..fabd04ecc 100644
--- a/instructor-notes.html
+++ b/instructor-notes.html
@@ -358,10 +358,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
             </div>
 
             <hr class="half-width">
-<div class="accordion accordion-flush resources" id="accordionFlush12">
+<div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
                     RESOURCES
                   </button>
                 </h2>
@@ -385,7 +385,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
                 </div>
               </div>
             </div>
-            <hr class="half-width resources">
+            <hr class="half-width lesson-resources">
 <a href="aio.html">See all in one page</a>
 
 
@@ -411,14 +411,12 @@ <h1>Instructor Notes</h1>
         
 
 <section><h2 class="section-heading" id="install-the-required-workshop-packages">Install the required workshop packages<a class="anchor" aria-label="anchor" href="#install-the-required-workshop-packages"></a>
-<a class="anchor" aria-label="anchor" href="#install-the-required-workshop-packages"></a>
 </h2>
 <hr class="half-width">
 <p>Please use the instructions in the <a href="index.html#setup">Setup</a>
 document to perform installs. If you encounter setup issues, please file
 an issue with the tags ‘High-priority’.</p>
-</section><section><h2 class="section-heading" id="checking-installations-">Checking installations.<a class="anchor" aria-label="anchor" href="#checking-installations."></a>
-<a class="anchor" aria-label="anchor" href="#checking-installations-"></a>
+</section><section><h2 class="section-heading" id="checking-installations-">Checking installations.<a class="anchor" aria-label="anchor" href="#checking-installations-"></a>
 </h2>
 <hr class="half-width">
 <p>In the <a href="files/scripts/check_env.py"><code>episodes/files/scripts/check_env.py</code></a>
@@ -439,13 +437,11 @@ <h3 class="code-label">BASH<i aria-hidden="true" data-feather="chevron-left"></i
 you how to help them correct this installation. Otherwise, it will tell
 you that the system is good to go and ready for Data Carpentry!</p>
 </section><section><h2 class="section-heading" id="visualization-ggplot-python">07-visualization-ggplot-python<a class="anchor" aria-label="anchor" href="#visualization-ggplot-python"></a>
-<a class="anchor" aria-label="anchor" href="#visualization-ggplot-python"></a>
 </h2>
 <hr class="half-width">
 <p>iPython notebooks for plotting can be viewed in the
 <code>learners</code> folder.</p>
 </section><section><h2 class="section-heading" id="putting-it-all-together">08-putting-it-all-together<a class="anchor" aria-label="anchor" href="#putting-it-all-together"></a>
-<a class="anchor" aria-label="anchor" href="#putting-it-all-together"></a>
 </h2>
 <hr class="half-width">
 <p>Answers are embedded with challenges in this lesson, other than
@@ -505,7 +501,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
         <p>Materials licensed under <a href="LICENSE.html">CC-BY 4.0</a> by the authors</p>
 
         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
-        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.5" class="external-link">sandpaper (0.16.5)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.3" class="external-link">varnish (1.0.3)</a></p>
+        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.6" class="external-link">sandpaper (0.16.6)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.4" class="external-link">varnish (1.0.4)</a></p>
 			</div>
 		</footer>
 </div> <!-- / div.container -->
@@ -528,8 +524,8 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
   "url": "https://datacarpentry.github.io/python-ecology-lesson/instructor-notes.html",
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   "dateCreated": "2015-03-19",
-  "dateModified": "2024-08-20",
-  "datePublished": "2024-08-20"
+  "dateModified": "2024-08-27",
+  "datePublished": "2024-08-27"
 }
 
   </script><script>
diff --git a/instructor/00-before-we-start.html b/instructor/00-before-we-start.html
index adb1482d6..1da10cda8 100644
--- a/instructor/00-before-we-start.html
+++ b/instructor/00-before-we-start.html
@@ -304,10 +304,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
                     RESOURCES
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                 </h2>
@@ -327,7 +327,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
                 </div>
               </div>
             </div>
-            <hr class="half-width resources"><a href="../instructor/aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="../instructor/aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
@@ -399,8 +399,7 @@ <h3 class="card-title">Objectives</h3>
 </div>
 </div>
 </div>
-<section><h2 class="section-heading" id="what-is-python">What is Python?<a class="anchor" aria-label="anchor" href="#what-is-python"></a>
-<a class="anchor" aria-label="anchor" href="#what-is-python"></a></h2>
+<section><h2 class="section-heading" id="what-is-python">What is Python?<a class="anchor" aria-label="anchor" href="#what-is-python"></a></h2>
 <hr class="half-width"><p>Python is a general purpose programming language that supports rapid
 development of data analytics applications. The word “Python” is used to
 refer to both, the programming language and the tool that executes the
@@ -449,8 +448,7 @@ <h3 class="card-title">Objectives</h3>
 <li><p><strong>Free and Open-Source Software (FOSS)… and
 Cross-Platform:</strong> We know we have already said that but it is
 worth repeating.</p></li>
-</ul></section><section><h2 class="section-heading" id="knowing-your-way-around-anaconda">Knowing your way around Anaconda<a class="anchor" aria-label="anchor" href="#knowing-your-way-around-anaconda"></a>
-<a class="anchor" aria-label="anchor" href="#knowing-your-way-around-anaconda"></a></h2>
+</ul></section><section><h2 class="section-heading" id="knowing-your-way-around-anaconda">Knowing your way around Anaconda<a class="anchor" aria-label="anchor" href="#knowing-your-way-around-anaconda"></a></h2>
 <hr class="half-width"><p><a href="https://www.anaconda.com/download" class="external-link">Anaconda</a> distribution
 of Python includes a lot of its popular packages, such as the IPython
 console, Jupyter Notebook, and Spyder IDE. Have a quick look around the
@@ -465,8 +463,7 @@ <h3 class="card-title">Objectives</h3>
 within a single interface.</p>
 <p>Anaconda comes with a package manager called <a href="https://conda.io/docs/" class="external-link">conda</a> used to install and update
 additional packages.</p>
-</section><section><h2 class="section-heading" id="research-project-best-practices">Research Project: Best Practices<a class="anchor" aria-label="anchor" href="#research-project-best-practices"></a>
-<a class="anchor" aria-label="anchor" href="#research-project-best-practices"></a></h2>
+</section><section><h2 class="section-heading" id="research-project-best-practices">Research Project: Best Practices<a class="anchor" aria-label="anchor" href="#research-project-best-practices"></a></h2>
 <hr class="half-width"><p>It is a good idea to keep a set of related data, analyses, and text
 in a single folder. All scripts and text files within this folder can
 then use relative paths to the data files. Working this way makes it a
@@ -497,8 +494,7 @@ <h3 id="organizing-your-working-directory">Organizing your working directory<a c
 <code>data_output/</code> folder when we learn how to export data as CSV
 files.</p>
 </div>
-</section><section><h2 class="section-heading" id="what-is-programming-and-coding">What is Programming and Coding?<a class="anchor" aria-label="anchor" href="#what-is-programming-and-coding"></a>
-<a class="anchor" aria-label="anchor" href="#what-is-programming-and-coding"></a></h2>
+</section><section><h2 class="section-heading" id="what-is-programming-and-coding">What is Programming and Coding?<a class="anchor" aria-label="anchor" href="#what-is-programming-and-coding"></a></h2>
 <hr class="half-width"><p>Programming is the process of writing <em>“programs”</em> that a
 computer can execute and produce some (useful) output. Programming is a
 multi-step process that involves the following steps:</p>
@@ -569,8 +565,7 @@ <h4 id="if-you-are-working-with-spyder">If you are working with Spyder:<a class=
 console window and press <kbd>Esc</kbd>; this will cancel the incomplete
 command and return you to the <code>In [..]:</code> prompt.</p>
 </div>
-</section><section><h2 class="section-heading" id="how-to-learn-more-after-the-workshop">How to learn more after the workshop?<a class="anchor" aria-label="anchor" href="#how-to-learn-more-after-the-workshop"></a>
-<a class="anchor" aria-label="anchor" href="#how-to-learn-more-after-the-workshop"></a></h2>
+</section><section><h2 class="section-heading" id="how-to-learn-more-after-the-workshop">How to learn more after the workshop?<a class="anchor" aria-label="anchor" href="#how-to-learn-more-after-the-workshop"></a></h2>
 <hr class="half-width"><p>The material we cover during this workshop will give you an initial
 taste of how you can use Python to analyze data for your own research.
 However, you will need to learn more to do advanced operations such as
@@ -581,8 +576,7 @@ <h4 id="if-you-are-working-with-spyder">If you are working with Spyder:<a class=
 from scratch, and given that many people make their code available
 online, modifying existing code to suit your purpose might make it
 easier for you to get started.</p>
-</section><section><h2 class="section-heading" id="seeking-help">Seeking help<a class="anchor" aria-label="anchor" href="#seeking-help"></a>
-<a class="anchor" aria-label="anchor" href="#seeking-help"></a></h2>
+</section><section><h2 class="section-heading" id="seeking-help">Seeking help<a class="anchor" aria-label="anchor" href="#seeking-help"></a></h2>
 <hr class="half-width"><ul><li>check under the <em>Help</em> menu</li>
 <li>type <code>help()</code>
 </li>
@@ -640,8 +634,7 @@ <h3 id="where-to-ask-for-help">Where to ask for help?<a class="anchor" aria-labe
 <li><a href="https://www.python.org/community/lists" class="external-link">Python mailing
 lists</a></li>
 </ul></div>
-</section><section><h2 class="section-heading" id="more-resources">More resources<a class="anchor" aria-label="anchor" href="#more-resources"></a>
-<a class="anchor" aria-label="anchor" href="#more-resources"></a></h2>
+</section><section><h2 class="section-heading" id="more-resources">More resources<a class="anchor" aria-label="anchor" href="#more-resources"></a></h2>
 <hr class="half-width"><ul><li><p><a href="https://pypi.org/" class="external-link">PyPI - the Python Package
 Index</a></p></li>
 <li><p><a href="https://docs.python-guide.org" class="external-link">The Hitchhiker’s Guide to
@@ -653,8 +646,7 @@ <h3 id="where-to-ask-for-help">Where to ask for help?<a class="anchor" aria-labe
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul><li>Python is an open source and platform independent programming
 language.</li>
@@ -700,7 +692,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
         <p>Materials licensed under <a href="LICENSE.html">CC-BY 4.0</a> by the authors</p>
 
         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
-        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.5" class="external-link">sandpaper (0.16.5)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.3" class="external-link">varnish (1.0.3)</a></p>
+        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.6" class="external-link">sandpaper (0.16.6)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.4" class="external-link">varnish (1.0.4)</a></p>
 			</div>
 		</footer></div> <!-- / div.container -->
 	<div id="to-top">
@@ -723,7 +715,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/instructor/00-before-we-start.html",
   "dateCreated": "2015-03-19",
   "dateModified": "2024-02-21",
-  "datePublished": "2024-08-20"
+  "datePublished": "2024-08-27"
 }
 
   </script><script>
diff --git a/instructor/01-short-introduction-to-Python.html b/instructor/01-short-introduction-to-Python.html
index e11b555f9..4ca261111 100644
--- a/instructor/01-short-introduction-to-Python.html
+++ b/instructor/01-short-introduction-to-Python.html
@@ -302,10 +302,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
                     RESOURCES
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                 </h2>
@@ -325,7 +325,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
                 </div>
               </div>
             </div>
-            <hr class="half-width resources"><a href="../instructor/aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="../instructor/aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
@@ -399,8 +399,7 @@ <h3 class="card-title">Objectives</h3>
 </div>
 </div>
 </div>
-<section><h2 class="section-heading" id="interpreter">Interpreter<a class="anchor" aria-label="anchor" href="#interpreter"></a>
-<a class="anchor" aria-label="anchor" href="#interpreter"></a></h2>
+<section><h2 class="section-heading" id="interpreter">Interpreter<a class="anchor" aria-label="anchor" href="#interpreter"></a></h2>
 <hr class="half-width"><p>Python is an interpreted language which can be used in two ways:</p>
 <ul><li>“Interactively”: when you use it as an “advanced calculator”
 executing one command at a time. To start Python in this mode, execute
@@ -453,8 +452,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </h3>
 <pre class="output" tabindex="0"><code>Hello World</code></pre>
 </div>
-</section><section><h2 class="section-heading" id="introduction-to-variables-in-python">Introduction to variables in Python<a class="anchor" aria-label="anchor" href="#introduction-to-variables-in-python"></a>
-<a class="anchor" aria-label="anchor" href="#introduction-to-variables-in-python"></a></h2>
+</section><section><h2 class="section-heading" id="introduction-to-variables-in-python">Introduction to variables in Python<a class="anchor" aria-label="anchor" href="#introduction-to-variables-in-python"></a></h2>
 <hr class="half-width"><div class="section level3">
 <h3 id="assigning-values-to-variables">Assigning values to variables<a class="anchor" aria-label="anchor" href="#assigning-values-to-variables"></a></h3>
 <p>One of the most basic things we can do in Python is assign values to
@@ -668,8 +666,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <pre class="output" tabindex="0"><code><span><span class="va">False</span></span></code></pre>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="sequences-lists-and-tuples">Sequences: Lists and Tuples<a class="anchor" aria-label="anchor" href="#sequences-lists-and-tuples"></a>
-<a class="anchor" aria-label="anchor" href="#sequences-lists-and-tuples"></a></h2>
+</section><section><h2 class="section-heading" id="sequences-lists-and-tuples">Sequences: Lists and Tuples<a class="anchor" aria-label="anchor" href="#sequences-lists-and-tuples"></a></h2>
 <hr class="half-width"><div class="section level3">
 <h3 id="lists">Lists<a class="anchor" aria-label="anchor" href="#lists"></a></h3>
 <p><strong>Lists</strong> are a common data structure to hold an ordered
@@ -759,8 +756,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="tuples-vs.-lists" class="callout-inner">
-<h3 class="callout-title">Tuples <em>vs.</em> Lists<a class="anchor" aria-label="anchor" href="#tuples-vs.-lists"></a>
-</h3>
+<h3 class="callout-title">Tuples <em>vs.</em> Lists</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li>What happens when you execute <code>a_list[1] = 5</code>?</li>
 <li>What happens when you execute <code>a_tuple[2] = 5</code>?</li>
@@ -847,8 +843,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="dictionaries">Dictionaries<a class="anchor" aria-label="anchor" href="#dictionaries"></a>
-<a class="anchor" aria-label="anchor" href="#dictionaries"></a></h2>
+</section><section><h2 class="section-heading" id="dictionaries">Dictionaries<a class="anchor" aria-label="anchor" href="#dictionaries"></a></h2>
 <hr class="half-width"><p>A <strong>dictionary</strong> is a container that holds pairs of
 objects - keys and values.</p>
 <div class="codewrapper sourceCode" id="cb57">
@@ -922,8 +917,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="changing-dictionaries" class="callout-inner">
-<h3 class="callout-title">Changing dictionaries<a class="anchor" aria-label="anchor" href="#changing-dictionaries"></a>
-</h3>
+<h3 class="callout-title">Changing dictionaries</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li>First, print the value of the <code>rev</code> dictionary to the
 screen.</li>
@@ -993,8 +987,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="functions">Functions<a class="anchor" aria-label="anchor" href="#functions"></a>
-<a class="anchor" aria-label="anchor" href="#functions"></a></h2>
+</section><section><h2 class="section-heading" id="functions">Functions<a class="anchor" aria-label="anchor" href="#functions"></a></h2>
 <hr class="half-width"><p>Defining a section of code as a <strong>function</strong> in Python
 is done using the <code>def</code> keyword. For example a function that
 takes two arguments and returns their sum can be defined as:</p>
@@ -1018,8 +1011,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul><li>Python is an interpreted language which can be used interactively
 (executing one command at a time) or in scripting mode (executing a
@@ -1071,7 +1063,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
         <p>Materials licensed under <a href="LICENSE.html">CC-BY 4.0</a> by the authors</p>
 
         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
-        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.5" class="external-link">sandpaper (0.16.5)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.3" class="external-link">varnish (1.0.3)</a></p>
+        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.6" class="external-link">sandpaper (0.16.6)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.4" class="external-link">varnish (1.0.4)</a></p>
 			</div>
 		</footer></div> <!-- / div.container -->
 	<div id="to-top">
@@ -1094,7 +1086,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/instructor/01-short-introduction-to-Python.html",
   "dateCreated": "2015-03-19",
   "dateModified": "2024-02-21",
-  "datePublished": "2024-08-20"
+  "datePublished": "2024-08-27"
 }
 
   </script><script>
diff --git a/instructor/02-starting-with-data.html b/instructor/02-starting-with-data.html
index 8894b0aaf..91bb5565a 100644
--- a/instructor/02-starting-with-data.html
+++ b/instructor/02-starting-with-data.html
@@ -301,10 +301,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
                     RESOURCES
                   </button>
                 </h2>
@@ -324,7 +324,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
                 </div>
               </div>
             </div>
-            <hr class="half-width resources"><a href="../instructor/aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="../instructor/aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
@@ -402,8 +402,7 @@ <h3 class="card-title">Objectives</h3>
 </div>
 </div>
 </div>
-<section><h2 class="section-heading" id="working-with-pandas-dataframes-in-python">Working With Pandas DataFrames in Python<a class="anchor" aria-label="anchor" href="#working-with-pandas-dataframes-in-python"></a>
-<a class="anchor" aria-label="anchor" href="#working-with-pandas-dataframes-in-python"></a></h2>
+<section><h2 class="section-heading" id="working-with-pandas-dataframes-in-python">Working With Pandas DataFrames in Python<a class="anchor" aria-label="anchor" href="#working-with-pandas-dataframes-in-python"></a></h2>
 <hr class="half-width"><p>We can automate the process of performing data manipulations in
 Python. It’s efficient to spend time building the code to perform these
 tasks because once it’s built, we can use it over and over on different
@@ -503,8 +502,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <code>pd</code>. This means we don’t have to type out
 <code>pandas</code> each time we call a Pandas function.</p>
 </div>
-</section><section><h2 class="section-heading" id="reading-csv-data-using-pandas">Reading CSV Data Using Pandas<a class="anchor" aria-label="anchor" href="#reading-csv-data-using-pandas"></a>
-<a class="anchor" aria-label="anchor" href="#reading-csv-data-using-pandas"></a></h2>
+</section><section><h2 class="section-heading" id="reading-csv-data-using-pandas">Reading CSV Data Using Pandas<a class="anchor" aria-label="anchor" href="#reading-csv-data-using-pandas"></a></h2>
 <hr class="half-width"><p>We will begin by locating and reading our survey data which are in
 CSV format. CSV stands for Comma-Separated Values and is a common way to
 store formatted data. Other symbols may also be used, so you might see
@@ -731,8 +729,7 @@ <h4 id="useful-ways-to-view-dataframe-objects-in-python">Useful Ways to View Dat
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---dataframes" class="callout-inner">
-<h3 class="callout-title">Challenge - DataFrames<a class="anchor" aria-label="anchor" href="#challenge---dataframes"></a>
-</h3>
+<h3 class="callout-title">Challenge - DataFrames</h3>
 <div class="callout-content">
 <p>Using our DataFrame <code>surveys_df</code>, try out the
 <strong>attributes</strong> &amp; <strong>methods</strong> below to see
@@ -754,7 +751,7 @@ <h3 class="callout-title">Challenge - DataFrames<a class="anchor" aria-label="an
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   <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
 <div class="accordion-body">
 <ol style="list-style-type: decimal"><li>
 <code>surveys_df.columns</code> provides the names of the columns in
@@ -781,7 +778,7 @@ <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
 <button class="accordion-button instructor-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseInstructor1" aria-expanded="false" aria-controls="collapseInstructor1">
   <h3 class="accordion-header" id="headingInstructor1">  <div class="note-square"><i aria-hidden="true" class="callout-icon" data-feather="edit-2"></i></div> Recapping object (im)mutability </h3>
 </button>
-<div id="collapseInstructor1" class="accordion-collapse collapse" aria-labelledby="headingInstructor1" data-bs-parent="#accordionInstructor1">
+<div id="collapseInstructor1" class="accordion-collapse collapse" data-bs-parent="#accordionInstructor1" aria-labelledby="headingInstructor1">
 <div class="accordion-body">
 <p>Working through solutions to the challenge above can provide a good
 opportunity to recap about mutability and immutability of different
@@ -847,8 +844,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---statistics" class="callout-inner">
-<h3 class="callout-title">Challenge - Statistics<a class="anchor" aria-label="anchor" href="#challenge---statistics"></a>
-</h3>
+<h3 class="callout-title">Challenge - Statistics</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li><p>Create a list of unique site IDs (“plot_id”) found in the surveys
 data. Call it <code>site_names</code>. How many unique sites are there
@@ -863,7 +859,7 @@ <h3 class="callout-title">Challenge - Statistics<a class="anchor" aria-label="an
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   <h4 class="accordion-header" id="headingSolution2"> Show me the solution </h4>
 </button>
-<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
+<div id="collapseSolution2" class="accordion-collapse collapse" data-bs-parent="#accordionSolution2" aria-labelledby="headingSolution2">
 <div class="accordion-body">
 <ol style="list-style-type: decimal"><li><code>site_names = pd.unique(surveys_df["plot_id"])</code></li>
 </ol><ul><li>How many unique sites are in the data? <code>site_names.size</code>
@@ -883,8 +879,7 @@ <h4 class="accordion-header" id="headingSolution2"> Show me the solution </h4>
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="groups-in-pandas">Groups in Pandas<a class="anchor" aria-label="anchor" href="#groups-in-pandas"></a>
-<a class="anchor" aria-label="anchor" href="#groups-in-pandas"></a></h2>
+</section><section><h2 class="section-heading" id="groups-in-pandas">Groups in Pandas<a class="anchor" aria-label="anchor" href="#groups-in-pandas"></a></h2>
 <hr class="half-width"><p>We often want to calculate summary statistics grouped by subsets or
 attributes within fields of our data. For example, we might want to
 calculate the average weight of all individuals per site.</p>
@@ -914,7 +909,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
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 <div class="accordion-body">
 <p>In pandas prior to version 0.18.1 there is a bug causing
 <code>surveys_df['weight'].describe()</code> to return a runtime
@@ -979,8 +974,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---summary-data" class="callout-inner">
-<h3 class="callout-title">Challenge - Summary Data<a class="anchor" aria-label="anchor" href="#challenge---summary-data"></a>
-</h3>
+<h3 class="callout-title">Challenge - Summary Data</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li>How many recorded individuals are female <code>F</code> and how many
 male <code>M</code>?</li>
@@ -1000,7 +994,7 @@ <h3 class="callout-title">Challenge - Summary Data<a class="anchor" aria-label="
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 </button>
-<div id="collapseSolution3" class="accordion-collapse collapse" aria-labelledby="headingSolution3" data-bs-parent="#accordionSolution3">
+<div id="collapseSolution3" class="accordion-collapse collapse" data-bs-parent="#accordionSolution3" aria-labelledby="headingSolution3">
 <div class="accordion-body">
 <ol style="list-style-type: decimal"><li>The first column of output from <code>grouped_data.describe()</code>
 (count) tells us that the data contains 15690 records for female
@@ -1083,8 +1077,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---make-a-list" class="callout-inner">
-<h3 class="callout-title">Challenge - Make a list<a class="anchor" aria-label="anchor" href="#challenge---make-a-list"></a>
-</h3>
+<h3 class="callout-title">Challenge - Make a list</h3>
 <div class="callout-content">
 <p>What’s another way to create a list of species and associated
 <code>count</code> of the records in the data? Hint: you can perform
@@ -1099,7 +1092,7 @@ <h3 class="callout-title">Challenge - Make a list<a class="anchor" aria-label="a
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution4" aria-expanded="false" aria-controls="collapseSolution4">
   <h4 class="accordion-header" id="headingSolution4"> Show me the solution </h4>
 </button>
-<div id="collapseSolution4" class="accordion-collapse collapse" aria-labelledby="headingSolution4" data-bs-parent="#accordionSolution4">
+<div id="collapseSolution4" class="accordion-collapse collapse" data-bs-parent="#accordionSolution4" aria-labelledby="headingSolution4">
 <div class="accordion-body">
 <p>As well as calling <code>count()</code> on the <code>record_id</code>
 column of the grouped DataFrame as above, an equivalent result can be
@@ -1182,8 +1175,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <p>A more practical use of this might be to normalize the data according
 to a mean, area, or some other value calculated from our data.</p>
 </div>
-</section><section><h2 class="section-heading" id="quick-easy-plotting-data-using-pandas">Quick &amp; Easy Plotting Data Using Pandas<a class="anchor" aria-label="anchor" href="#quick-easy-plotting-data-using-pandas"></a>
-<a class="anchor" aria-label="anchor" href="#quick-easy-plotting-data-using-pandas"></a></h2>
+</section><section><h2 class="section-heading" id="quick-easy-plotting-data-using-pandas">Quick &amp; Easy Plotting Data Using Pandas<a class="anchor" aria-label="anchor" href="#quick-easy-plotting-data-using-pandas"></a></h2>
 <hr class="half-width"><p>We can plot our summary stats using Pandas, too.</p>
 <div class="codewrapper sourceCode" id="cb32">
 <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
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 </div>
 <div id="challenge---plots" class="callout-inner">
-<h3 class="callout-title">Challenge - Plots<a class="anchor" aria-label="anchor" href="#challenge---plots"></a>
-</h3>
+<h3 class="callout-title">Challenge - Plots</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li>Create a plot of average weight across all species per site.</li>
 <li>Create a plot of total males versus total females for the entire
@@ -1222,7 +1213,7 @@ <h3 class="callout-title">Challenge - Plots<a class="anchor" aria-label="anchor"
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution5" aria-expanded="false" aria-controls="collapseSolution5">
   <h4 class="accordion-header" id="headingSolution5"> Show me the solution </h4>
 </button>
-<div id="collapseSolution5" class="accordion-collapse collapse" aria-labelledby="headingSolution5" data-bs-parent="#accordionSolution5">
+<div id="collapseSolution5" class="accordion-collapse collapse" data-bs-parent="#accordionSolution5" aria-labelledby="headingSolution5">
 <div class="accordion-body">
 <ol style="list-style-type: decimal"><li><code>surveys_df.groupby('plot_id').mean()["weight"].plot(kind='bar')</code></li>
 </ol><figure><img src="../fig/01_chall_bar_meanweight.png" alt="average weight across all species for each plot" class="figure mx-auto d-block"></figure><ol start="2" style="list-style-type: decimal"><li><code>surveys_df.groupby('sex').count()["record_id"].plot(kind='bar')</code></li>
@@ -1235,8 +1226,7 @@ <h4 class="accordion-header" id="headingSolution5"> Show me the solution </h4>
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="summary-plotting-challenge" class="callout-inner">
-<h3 class="callout-title">Summary Plotting Challenge<a class="anchor" aria-label="anchor" href="#summary-plotting-challenge"></a>
-</h3>
+<h3 class="callout-title">Summary Plotting Challenge</h3>
 <div class="callout-content">
 <p>Create a stacked bar plot, with weight on the Y axis, and the stacked
 variable being sex. The plot should show total weight by sex for each
@@ -1284,7 +1274,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution6" aria-expanded="false" aria-controls="collapseSolution6">
   <h4 class="accordion-header" id="headingSolution6"> Solution to Summary Challenge </h4>
 </button>
-<div id="collapseSolution6" class="accordion-collapse collapse" aria-labelledby="headingSolution6" data-bs-parent="#accordionSolution6">
+<div id="collapseSolution6" class="accordion-collapse collapse" data-bs-parent="#accordionSolution6" aria-labelledby="headingSolution6">
 <div class="accordion-body">
 <p>First we group data by site and by sex, and then calculate a total
 for each site.</p>
@@ -1356,8 +1346,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul><li>Libraries enable us to extend the functionality of Python.</li>
 <li>Pandas is a popular library for working with data.</li>
@@ -1406,7 +1395,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
         <p>Materials licensed under <a href="LICENSE.html">CC-BY 4.0</a> by the authors</p>
 
         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
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   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/instructor/02-starting-with-data.html",
   "dateCreated": "2015-03-19",
   "dateModified": "2024-02-23",
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diff --git a/instructor/03-index-slice-subset.html b/instructor/03-index-slice-subset.html
index 2d547440e..62f15fc7a 100644
--- a/instructor/03-index-slice-subset.html
+++ b/instructor/03-index-slice-subset.html
@@ -306,10 +306,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
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                 <h2 class="accordion-header" id="flush-headingTwelve">
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+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
                     RESOURCES
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                 </div>
               </div>
             </div>
-            <hr class="half-width resources"><a href="../instructor/aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="../instructor/aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
@@ -415,7 +415,7 @@ <h3 class="card-title">Objectives</h3>
 <button class="accordion-button instructor-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseInstructor1" aria-expanded="false" aria-controls="collapseInstructor1">
   <h3 class="accordion-header" id="headingInstructor1">  <div class="note-square"><i aria-hidden="true" class="callout-icon" data-feather="edit-2"></i></div> Instructor Note </h3>
 </button>
-<div id="collapseInstructor1" class="accordion-collapse collapse" data-bs-parent="#accordionInstructor1" aria-labelledby="headingInstructor1">
+<div id="collapseInstructor1" class="accordion-collapse collapse" aria-labelledby="headingInstructor1" data-bs-parent="#accordionInstructor1">
 <div class="accordion-body">
 <p>Tip: use <code>.head()</code> method throughout this lesson to keep
 your display neater for students. Encourage students to try with and
@@ -439,8 +439,7 @@ <h3 class="accordion-header" id="headingInstructor1">  <div class="note-square">
 <ul><li>indexing,</li>
 <li>slicing, and</li>
 <li>subsetting.</li>
-</ul><section><h2 class="section-heading" id="loading-our-data">Loading our data<a class="anchor" aria-label="anchor" href="#loading-our-data"></a>
-<a class="anchor" aria-label="anchor" href="#loading-our-data"></a></h2>
+</ul><section><h2 class="section-heading" id="loading-our-data">Loading our data<a class="anchor" aria-label="anchor" href="#loading-our-data"></a></h2>
 <hr class="half-width"><p>We will continue to use the surveys dataset that we worked with in
 the last episode. Let’s reopen and read in the data again:</p>
 <div class="codewrapper sourceCode" id="cb1">
@@ -452,14 +451,12 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <span id="cb1-4"><a href="#cb1-4" tabindex="-1"></a><span class="co"># Read in the survey CSV</span></span>
 <span id="cb1-5"><a href="#cb1-5" tabindex="-1"></a>surveys_df <span class="op">=</span> pd.read_csv(<span class="st">"data/surveys.csv"</span>)</span></code></pre>
 </div>
-</section><section><h2 class="section-heading" id="indexing-and-slicing-in-python">Indexing and Slicing in Python<a class="anchor" aria-label="anchor" href="#indexing-and-slicing-in-python"></a>
-<a class="anchor" aria-label="anchor" href="#indexing-and-slicing-in-python"></a></h2>
+</section><section><h2 class="section-heading" id="indexing-and-slicing-in-python">Indexing and Slicing in Python<a class="anchor" aria-label="anchor" href="#indexing-and-slicing-in-python"></a></h2>
 <hr class="half-width"><p>We often want to work with subsets of a <strong>DataFrame</strong>
 object. There are different ways to accomplish this including: using
 labels (column headings), numeric ranges, or specific x,y index
 locations.</p>
-</section><section><h2 class="section-heading" id="selecting-data-using-labels-column-headings">Selecting data using Labels (Column Headings)<a class="anchor" aria-label="anchor" href="#selecting-data-using-labels-column-headings"></a>
-<a class="anchor" aria-label="anchor" href="#selecting-data-using-labels-column-headings"></a></h2>
+</section><section><h2 class="section-heading" id="selecting-data-using-labels-column-headings">Selecting data using Labels (Column Headings)<a class="anchor" aria-label="anchor" href="#selecting-data-using-labels-column-headings"></a></h2>
 <hr class="half-width"><p>We use square brackets <code>[]</code> to select a subset of a Python
 object. For example, we can select all data from a column named
 <code>species_id</code> from the <code>surveys_df</code> DataFrame by
@@ -507,8 +504,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="bell"></i>
 </div>
 <div id="reminder" class="callout-inner">
-<h3 class="callout-title">Reminder<a class="anchor" aria-label="anchor" href="#reminder"></a>
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+<h3 class="callout-title">Reminder</h3>
 <div class="callout-content">
 <p>The Python language and its modules (such as Pandas) define reserved
 words that should not be used as identifiers when assigning objects and
@@ -526,15 +522,13 @@ <h3 class="callout-title">Reminder<a class="anchor" aria-label="anchor" href="#r
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="extracting-range-based-subsets-slicing">Extracting Range based Subsets: Slicing<a class="anchor" aria-label="anchor" href="#extracting-range-based-subsets-slicing"></a>
-<a class="anchor" aria-label="anchor" href="#extracting-range-based-subsets-slicing"></a></h2>
+</section><section><h2 class="section-heading" id="extracting-range-based-subsets-slicing">Extracting Range based Subsets: Slicing<a class="anchor" aria-label="anchor" href="#extracting-range-based-subsets-slicing"></a></h2>
 <hr class="half-width"><div id="reminder-1" class="callout">
 <div class="callout-square">
 <i class="callout-icon" data-feather="bell"></i>
 </div>
 <div id="reminder-1" class="callout-inner">
-<h3 class="callout-title">Reminder<a class="anchor" aria-label="anchor" href="#reminder-1"></a>
-</h3>
+<h3 class="callout-title">Reminder</h3>
 <div class="callout-content">
 <p>Python uses 0-based indexing.</p>
 </div>
@@ -556,8 +550,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---extracting-data" class="callout-inner">
-<h3 class="callout-title">Challenge - Extracting data<a class="anchor" aria-label="anchor" href="#challenge---extracting-data"></a>
-</h3>
+<h3 class="callout-title">Challenge - Extracting data</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li>
 <p>What value does the code below return?</p>
@@ -593,7 +586,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
 <div class="accordion-body">
 <ol style="list-style-type: decimal"><li><p><code>a[0]</code> returns <code>1</code>, as Python starts with
 element 0 (this may be different from what you have previously
@@ -622,8 +615,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="slicing-subsets-of-rows-in-python">Slicing Subsets of Rows in Python<a class="anchor" aria-label="anchor" href="#slicing-subsets-of-rows-in-python"></a>
-<a class="anchor" aria-label="anchor" href="#slicing-subsets-of-rows-in-python"></a></h2>
+</section><section><h2 class="section-heading" id="slicing-subsets-of-rows-in-python">Slicing Subsets of Rows in Python<a class="anchor" aria-label="anchor" href="#slicing-subsets-of-rows-in-python"></a></h2>
 <hr class="half-width"><p>Slicing using the <code>[]</code> operator selects a set of rows
 and/or columns from a DataFrame. To slice out a set of rows, you use the
 following syntax: <code>data[start:stop]</code>. When slicing in pandas
@@ -652,8 +644,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <p>But before we do that, let’s look at the difference between the
 concept of copying objects and the concept of referencing objects in
 Python.</p>
-</section><section><h2 class="section-heading" id="copying-objects-vs-referencing-objects-in-python">Copying Objects vs Referencing Objects in Python<a class="anchor" aria-label="anchor" href="#copying-objects-vs-referencing-objects-in-python"></a>
-<a class="anchor" aria-label="anchor" href="#copying-objects-vs-referencing-objects-in-python"></a></h2>
+</section><section><h2 class="section-heading" id="copying-objects-vs-referencing-objects-in-python">Copying Objects vs Referencing Objects in Python<a class="anchor" aria-label="anchor" href="#copying-objects-vs-referencing-objects-in-python"></a></h2>
 <hr class="half-width"><p>Let’s start with an example:</p>
 <div class="codewrapper sourceCode" id="cb13">
 <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -734,8 +725,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </h3>
 <pre class="sourceCode python" tabindex="0"><code class="sourceCode python"><span id="cb18-1"><a href="#cb18-1" tabindex="-1"></a>surveys_df <span class="op">=</span> pd.read_csv(<span class="st">"data/surveys.csv"</span>)</span></code></pre>
 </div>
-</section><section><h2 class="section-heading" id="slicing-subsets-of-rows-and-columns-in-python">Slicing Subsets of Rows and Columns in Python<a class="anchor" aria-label="anchor" href="#slicing-subsets-of-rows-and-columns-in-python"></a>
-<a class="anchor" aria-label="anchor" href="#slicing-subsets-of-rows-and-columns-in-python"></a></h2>
+</section><section><h2 class="section-heading" id="slicing-subsets-of-rows-and-columns-in-python">Slicing Subsets of Rows and Columns in Python<a class="anchor" aria-label="anchor" href="#slicing-subsets-of-rows-and-columns-in-python"></a></h2>
 <hr class="half-width"><p>We can select specific ranges of our data in both the row and column
 directions using either label or integer-based indexing.</p>
 <ul><li><p><code>iloc</code> is primarily an <em>integer</em> based indexing
@@ -835,8 +825,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---range" class="callout-inner">
-<h3 class="callout-title">Challenge - Range<a class="anchor" aria-label="anchor" href="#challenge---range"></a>
-</h3>
+<h3 class="callout-title">Challenge - Range</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li>What happens when you execute:
 <ul><li><code>surveys_df[0:1]</code></li>
@@ -860,7 +849,7 @@ <h3 class="callout-title">Challenge - Range<a class="anchor" aria-label="anchor"
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution2" aria-expanded="false" aria-controls="collapseSolution2">
   <h4 class="accordion-header" id="headingSolution2"> Selection Challenges </h4>
 </button>
-<div id="collapseSolution2" class="accordion-collapse collapse" data-bs-parent="#accordionSolution2" aria-labelledby="headingSolution2">
+<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
 <div class="accordion-body">
 <ol style="list-style-type: decimal"><li>
 <ul><li>
@@ -923,8 +912,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="subsetting-data-using-criteria">Subsetting Data using Criteria<a class="anchor" aria-label="anchor" href="#subsetting-data-using-criteria"></a>
-<a class="anchor" aria-label="anchor" href="#subsetting-data-using-criteria"></a></h2>
+</section><section><h2 class="section-heading" id="subsetting-data-using-criteria">Subsetting Data using Criteria<a class="anchor" aria-label="anchor" href="#subsetting-data-using-criteria"></a></h2>
 <hr class="half-width"><p>We can also select a subset of our data using criteria. For example,
 we can select all rows that have a year value of 2002:</p>
 <div class="codewrapper sourceCode" id="cb27">
@@ -985,8 +973,7 @@ <h3 id="python-syntax-cheat-sheet">Python Syntax Cheat Sheet<a class="anchor" ar
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---queries" class="callout-inner">
-<h3 class="callout-title">Challenge - Queries<a class="anchor" aria-label="anchor" href="#challenge---queries"></a>
-</h3>
+<h3 class="callout-title">Challenge - Queries</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li><p>Select a subset of rows in the <code>surveys_df</code> DataFrame
 that contain data from the year 1999 and that contain weight values less
@@ -1018,7 +1005,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution3" aria-expanded="false" aria-controls="collapseSolution3">
   <h4 class="accordion-header" id="headingSolution3"> Show me the solution </h4>
 </button>
-<div id="collapseSolution3" class="accordion-collapse collapse" data-bs-parent="#accordionSolution3" aria-labelledby="headingSolution3">
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 <ol style="list-style-type: decimal"><li>
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@@ -1108,7 +1095,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
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 </button>
-<div id="collapseInstructor2" class="accordion-collapse collapse" data-bs-parent="#accordionInstructor2" aria-labelledby="headingInstructor2">
+<div id="collapseInstructor2" class="accordion-collapse collapse" aria-labelledby="headingInstructor2" data-bs-parent="#accordionInstructor2">
 <div class="accordion-body">
 <p>When working through the solutions to the challenges above, you could
 introduce already that all these slice operations are actually based on
@@ -1120,8 +1107,7 @@ <h3 class="accordion-header" id="headingInstructor2">  <div class="note-square">
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="using-masks-to-identify-a-specific-condition">Using masks to identify a specific condition<a class="anchor" aria-label="anchor" href="#using-masks-to-identify-a-specific-condition"></a>
-<a class="anchor" aria-label="anchor" href="#using-masks-to-identify-a-specific-condition"></a></h2>
+</section><section><h2 class="section-heading" id="using-masks-to-identify-a-specific-condition">Using masks to identify a specific condition<a class="anchor" aria-label="anchor" href="#using-masks-to-identify-a-specific-condition"></a></h2>
 <hr class="half-width"><p>A <strong>mask</strong> can be useful to locate where a particular
 subset of values exist or don’t exist - for example, NaN, or “Not a
 Number” values. To understand masks, we also need to understand
@@ -1204,8 +1190,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---putting-it-all-together" class="callout-inner">
-<h3 class="callout-title">Challenge - Putting it all together<a class="anchor" aria-label="anchor" href="#challenge---putting-it-all-together"></a>
-</h3>
+<h3 class="callout-title">Challenge - Putting it all together</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li>Create a new DataFrame that only contains observations with sex
 values that are <strong>not</strong> female or male. Print the number of
@@ -1224,7 +1209,7 @@ <h3 class="callout-title">Challenge - Putting it all together<a class="anchor" a
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   <h4 class="accordion-header" id="headingSolution4"> Show me the solution </h4>
 </button>
-<div id="collapseSolution4" class="accordion-collapse collapse" data-bs-parent="#accordionSolution4" aria-labelledby="headingSolution4">
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@@ -1269,7 +1254,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
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+<div id="collapseInstructor3" class="accordion-collapse collapse" aria-labelledby="headingInstructor3" data-bs-parent="#accordionInstructor3">
 <div class="accordion-body">
 <p>Referring to the challenge solution above, as we know the other
 values are all Nan values, we could also select all not null values:</p>
@@ -1297,8 +1282,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul><li>In Python, portions of data can be accessed using indices, slices,
 column headings, and condition-based subsetting.</li>
@@ -1345,7 +1329,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
         <p>Materials licensed under <a href="LICENSE.html">CC-BY 4.0</a> by the authors</p>
 
         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
-        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.5" class="external-link">sandpaper (0.16.5)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.3" class="external-link">varnish (1.0.3)</a></p>
+        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.6" class="external-link">sandpaper (0.16.6)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.4" class="external-link">varnish (1.0.4)</a></p>
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@@ -1368,7 +1352,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/instructor/03-index-slice-subset.html",
   "dateCreated": "2015-03-19",
   "dateModified": "2024-02-26",
-  "datePublished": "2024-08-20"
+  "datePublished": "2024-08-27"
 }
 
   </script><script>
diff --git a/instructor/04-data-types-and-format.html b/instructor/04-data-types-and-format.html
index 30c088f22..79ccaf52d 100644
--- a/instructor/04-data-types-and-format.html
+++ b/instructor/04-data-types-and-format.html
@@ -306,10 +306,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
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+            <hr class="half-width lesson-resources"><a href="../instructor/aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
@@ -413,14 +413,12 @@ <h3 class="card-title">Objectives</h3>
 error.</p>
 <p>In this lesson we will review ways to explore and better understand
 the structure and format of our data.</p>
-<section><h2 class="section-heading" id="types-of-data">Types of Data<a class="anchor" aria-label="anchor" href="#types-of-data"></a>
-<a class="anchor" aria-label="anchor" href="#types-of-data"></a></h2>
+<section><h2 class="section-heading" id="types-of-data">Types of Data<a class="anchor" aria-label="anchor" href="#types-of-data"></a></h2>
 <hr class="half-width"><p>How information is stored in a DataFrame or a Python object affects
 what we can do with it and the outputs of calculations as well. There
 are two main types of data that we will explore in this lesson: numeric
 and text data types.</p>
-</section><section><h2 class="section-heading" id="numeric-data-types">Numeric Data Types<a class="anchor" aria-label="anchor" href="#numeric-data-types"></a>
-<a class="anchor" aria-label="anchor" href="#numeric-data-types"></a></h2>
+</section><section><h2 class="section-heading" id="numeric-data-types">Numeric Data Types<a class="anchor" aria-label="anchor" href="#numeric-data-types"></a></h2>
 <hr class="half-width"><p>Numeric data types include integers and floats. A <strong>floating
 point</strong> (known as a float) number has decimal points even if that
 decimal point value is 0. For example: 1.13, 2.0, 1234.345. If we have a
@@ -435,8 +433,7 @@ <h3 class="card-title">Objectives</h3>
 effectively relates to how many digits it can store in each “cell”.
 Allocating space ahead of time allows computers to optimize storage and
 processing efficiency.</p>
-</section><section><h2 class="section-heading" id="text-data-type">Text Data Type<a class="anchor" aria-label="anchor" href="#text-data-type"></a>
-<a class="anchor" aria-label="anchor" href="#text-data-type"></a></h2>
+</section><section><h2 class="section-heading" id="text-data-type">Text Data Type<a class="anchor" aria-label="anchor" href="#text-data-type"></a></h2>
 <hr class="half-width"><p>The text data type is known as a <em>string</em> in Python, or
 <em>object</em> in pandas. Strings can contain numbers and / or
 characters. For example, a string might be a word, a sentence, or
@@ -468,8 +465,7 @@ <h3 class="card-title">Objectives</h3>
 module in Python’s standard library)</td>
 <td>Values meant to hold time data. Look into these for time series
 experiments.</td>
-</tr></tbody></table></section><section><h2 class="section-heading" id="checking-the-format-of-our-data">Checking the format of our data<a class="anchor" aria-label="anchor" href="#checking-the-format-of-our-data"></a>
-<a class="anchor" aria-label="anchor" href="#checking-the-format-of-our-data"></a></h2>
+</tr></tbody></table></section><section><h2 class="section-heading" id="checking-the-format-of-our-data">Checking the format of our data<a class="anchor" aria-label="anchor" href="#checking-the-format-of-our-data"></a></h2>
 <hr class="half-width"><p>Now that we’re armed with a basic understanding of numeric and text
 data types, let’s explore the format of our survey data. We’ll be
 working with the same <code>surveys.csv</code> dataset that we’ve used
@@ -548,8 +544,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 But the <code>weight</code> column is a floating point value which means
 it contains decimals. The <code>species_id</code> and <code>sex</code>
 columns are objects which means they contain strings.</p>
-</section><section><h2 class="section-heading" id="working-with-integers-and-floats">Working With Integers and Floats<a class="anchor" aria-label="anchor" href="#working-with-integers-and-floats"></a>
-<a class="anchor" aria-label="anchor" href="#working-with-integers-and-floats"></a></h2>
+</section><section><h2 class="section-heading" id="working-with-integers-and-floats">Working With Integers and Floats<a class="anchor" aria-label="anchor" href="#working-with-integers-and-floats"></a></h2>
 <hr class="half-width"><p>So we’ve learned that computers store numbers in one of two ways: as
 integers or as floating-point numbers (or floats). Integers are the
 numbers we usually count with. Floats have fractional parts (decimal
@@ -626,8 +621,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </h3>
 <pre class="output" tabindex="0"><code><span><span class="fl">7.0</span></span></code></pre>
 </div>
-</section><section><h2 class="section-heading" id="working-with-our-survey-data">Working With Our Survey Data<a class="anchor" aria-label="anchor" href="#working-with-our-survey-data"></a>
-<a class="anchor" aria-label="anchor" href="#working-with-our-survey-data"></a></h2>
+</section><section><h2 class="section-heading" id="working-with-our-survey-data">Working With Our Survey Data<a class="anchor" aria-label="anchor" href="#working-with-our-survey-data"></a></h2>
 <hr class="half-width"><p>Getting back to our data, we can modify the format of values within
 our data, if we want. For instance, we could convert the
 <code>record_id</code> field to floating point values.</p>
@@ -648,8 +642,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="changing-types" class="callout-inner">
-<h3 class="callout-title">Changing Types<a class="anchor" aria-label="anchor" href="#changing-types"></a>
-</h3>
+<h3 class="callout-title">Changing Types</h3>
 <div class="callout-content">
 <p>Try converting the column <code>plot_id</code> to floats using</p>
 <div class="codewrapper sourceCode" id="cb24">
@@ -668,7 +661,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
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 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
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 <div class="codewrapper sourceCode" id="cb25">
 <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -706,8 +699,7 @@ <h3 class="code-label">ERROR<i aria-hidden="true" data-feather="chevron-left"></
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="missing-data-values---nan">Missing Data Values - NaN<a class="anchor" aria-label="anchor" href="#missing-data-values---nan"></a>
-<a class="anchor" aria-label="anchor" href="#missing-data-values---nan"></a></h2>
+</section><section><h2 class="section-heading" id="missing-data-values---nan">Missing Data Values - NaN<a class="anchor" aria-label="anchor" href="#missing-data-values---nan"></a></h2>
 <hr class="half-width"><p>What happened in the last challenge activity? Notice that this raises
 a casting error:
 <code>pandas.errors.IntCastingNaNError: Cannot convert non-finite values (NA or inf) to integer</code>
@@ -805,8 +797,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="counting" class="callout-inner">
-<h3 class="callout-title">Counting<a class="anchor" aria-label="anchor" href="#counting"></a>
-</h3>
+<h3 class="callout-title">Counting</h3>
 <div class="callout-content">
 <p>Count the number of missing values per column.</p>
 </div>
@@ -817,7 +808,7 @@ <h3 class="callout-title">Counting<a class="anchor" aria-label="anchor" href="#c
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 </button>
-<div id="collapseSolution3" class="accordion-collapse collapse" aria-labelledby="headingSolution3" data-bs-parent="#accordionSolution3">
+<div id="collapseSolution3" class="accordion-collapse collapse" data-bs-parent="#accordionSolution3" aria-labelledby="headingSolution3">
 <div class="accordion-body">
 <p>The method <code>.count()</code> gives you the number of non-NaN
 observations per column. Try looking to the <code>.isna()</code>
@@ -827,7 +818,7 @@ <h4 class="accordion-header" id="headingSolution3"> Hints </h4>
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 </button>
-<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
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 <div class="codewrapper sourceCode" id="cb36">
 <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -867,8 +858,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="writing-out-data-to-csv">Writing Out Data to CSV<a class="anchor" aria-label="anchor" href="#writing-out-data-to-csv"></a>
-<a class="anchor" aria-label="anchor" href="#writing-out-data-to-csv"></a></h2>
+</section><section><h2 class="section-heading" id="writing-out-data-to-csv">Writing Out Data to CSV<a class="anchor" aria-label="anchor" href="#writing-out-data-to-csv"></a></h2>
 <hr class="half-width"><p>We’ve learned about manipulating data to get desired outputs. But
 we’ve also discussed keeping data that has been manipulated separate
 from our raw data. Something we might be interested in doing is working
@@ -912,7 +902,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
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 </button>
-<div id="collapseInstructor1" class="accordion-collapse collapse" aria-labelledby="headingInstructor1" data-bs-parent="#accordionInstructor1">
+<div id="collapseInstructor1" class="accordion-collapse collapse" data-bs-parent="#accordionInstructor1" aria-labelledby="headingInstructor1">
 <div class="accordion-body">
 <p>If learners have trouble generating the output, or anything happens
 with that, the folder <a href="https://github.com/datacarpentry/python-ecology-lesson/tree/main/sample_output" class="external-link"><code>sample_output</code></a>
@@ -922,8 +912,7 @@ <h3 class="accordion-header" id="headingInstructor1">  <div class="note-square">
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="recap">Recap<a class="anchor" aria-label="anchor" href="#recap"></a>
-<a class="anchor" aria-label="anchor" href="#recap"></a></h2>
+</section><section><h2 class="section-heading" id="recap">Recap<a class="anchor" aria-label="anchor" href="#recap"></a></h2>
 <hr class="half-width"><p>What we’ve learned:</p>
 <ul><li>How to explore the data types of columns within a DataFrame</li>
 <li>How to change the data type</li>
@@ -937,8 +926,7 @@ <h3 class="accordion-header" id="headingInstructor1">  <div class="note-square">
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul><li>pandas uses other names for data types than Python, for example:
 <code>object</code> for textual data.</li>
@@ -987,7 +975,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
         <p>Materials licensed under <a href="LICENSE.html">CC-BY 4.0</a> by the authors</p>
 
         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
-        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.5" class="external-link">sandpaper (0.16.5)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.3" class="external-link">varnish (1.0.3)</a></p>
+        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.6" class="external-link">sandpaper (0.16.6)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.4" class="external-link">varnish (1.0.4)</a></p>
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@@ -1010,7 +998,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/instructor/04-data-types-and-format.html",
   "dateCreated": "2015-03-19",
   "dateModified": "2023-06-05",
-  "datePublished": "2024-08-20"
+  "datePublished": "2024-08-27"
 }
 
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diff --git a/instructor/05-merging-data.html b/instructor/05-merging-data.html
index 47f1a7ea7..082580b36 100644
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+++ b/instructor/05-merging-data.html
@@ -300,10 +300,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
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             </div>
-            <hr class="half-width resources"><a href="../instructor/aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="../instructor/aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
@@ -464,8 +464,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 behaviour of <code>read_csv</code>. <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html#pandas.read_csv" class="external-link">More
 about all of the <code>read_csv</code> options here and their
 defaults.</a></p>
-<section><h2 class="section-heading" id="concatenating-dataframes">Concatenating DataFrames<a class="anchor" aria-label="anchor" href="#concatenating-dataframes"></a>
-<a class="anchor" aria-label="anchor" href="#concatenating-dataframes"></a></h2>
+<section><h2 class="section-heading" id="concatenating-dataframes">Concatenating DataFrames<a class="anchor" aria-label="anchor" href="#concatenating-dataframes"></a></h2>
 <hr class="half-width"><p>We can use the <code>concat</code> function in pandas to append
 either columns or rows from one DataFrame to another. Let’s grab two
 subsets of our data to see how this works.</p>
@@ -535,8 +534,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---combine-data" class="callout-inner">
-<h3 class="callout-title">Challenge - Combine Data<a class="anchor" aria-label="anchor" href="#challenge---combine-data"></a>
-</h3>
+<h3 class="callout-title">Challenge - Combine Data</h3>
 <div class="callout-content">
 <p>In the data folder, there is another folder called
 <code>yearly_files</code> that contains survey data broken down into
@@ -584,8 +582,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="joining-dataframes">Joining DataFrames<a class="anchor" aria-label="anchor" href="#joining-dataframes"></a>
-<a class="anchor" aria-label="anchor" href="#joining-dataframes"></a></h2>
+</section><section><h2 class="section-heading" id="joining-dataframes">Joining DataFrames<a class="anchor" aria-label="anchor" href="#joining-dataframes"></a></h2>
 <hr class="half-width"><p>When we concatenated our DataFrames, we simply added them to each
 other - stacking them either vertically or side by side. Another way to
 combine DataFrames is to use columns in each dataset that contain common
@@ -874,15 +871,13 @@ <h3 id="other-join-types">Other join types<a class="anchor" aria-label="anchor"
 and Cross Join in Pandas DataFrame</a>
 </li>
 </ul></div>
-</section><section><h2 class="section-heading" id="final-challenges">Final Challenges<a class="anchor" aria-label="anchor" href="#final-challenges"></a>
-<a class="anchor" aria-label="anchor" href="#final-challenges"></a></h2>
+</section><section><h2 class="section-heading" id="final-challenges">Final Challenges<a class="anchor" aria-label="anchor" href="#final-challenges"></a></h2>
 <hr class="half-width"><div id="challenge---distributions" class="callout challenge">
 <div class="callout-square">
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---distributions" class="callout-inner">
-<h3 class="callout-title">Challenge - Distributions<a class="anchor" aria-label="anchor" href="#challenge---distributions"></a>
-</h3>
+<h3 class="callout-title">Challenge - Distributions</h3>
 <div class="callout-content">
 <p>Create a new DataFrame by joining the contents of the
 <code>surveys.csv</code> and <code>species.csv</code> tables. Then
@@ -980,8 +975,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---diversity-index" class="callout-inner">
-<h3 class="callout-title">Challenge - Diversity Index<a class="anchor" aria-label="anchor" href="#challenge---diversity-index"></a>
-</h3>
+<h3 class="callout-title">Challenge - Diversity Index</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li><p>In the data folder, there is a <code>plots.csv</code> file that
 contains information about the type associated with each plot. Use that
@@ -1039,8 +1033,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul><li>Pandas’ <code>merge</code> and <code>concat</code> can be used to
 combine subsets of a DataFrame, or even data from different files.</li>
@@ -1091,7 +1084,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
         <p>Materials licensed under <a href="LICENSE.html">CC-BY 4.0</a> by the authors</p>
 
         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
-        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.5" class="external-link">sandpaper (0.16.5)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.3" class="external-link">varnish (1.0.3)</a></p>
+        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.6" class="external-link">sandpaper (0.16.6)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.4" class="external-link">varnish (1.0.4)</a></p>
 			</div>
 		</footer></div> <!-- / div.container -->
 	<div id="to-top">
@@ -1114,7 +1107,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/instructor/05-merging-data.html",
   "dateCreated": "2015-03-19",
   "dateModified": "2024-02-21",
-  "datePublished": "2024-08-20"
+  "datePublished": "2024-08-27"
 }
 
   </script><script>
diff --git a/instructor/06-loops-and-functions.html b/instructor/06-loops-and-functions.html
index 87e1ed811..d9b05f067 100644
--- a/instructor/06-loops-and-functions.html
+++ b/instructor/06-loops-and-functions.html
@@ -302,10 +302,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
                     RESOURCES
                   </button>
                 </h2>
@@ -325,7 +325,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
                 </div>
               </div>
             </div>
-            <hr class="half-width resources"><a href="../instructor/aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="../instructor/aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
@@ -401,8 +401,7 @@ <h3 class="card-title">Objectives</h3>
 spreadsheet. The beauty of using a programming language like Python,
 though, comes from the ability to automate data processing through the
 use of loops and functions.</p>
-<section><h2 class="section-heading" id="for-loops">For loops<a class="anchor" aria-label="anchor" href="#for-loops"></a>
-<a class="anchor" aria-label="anchor" href="#for-loops"></a></h2>
+<section><h2 class="section-heading" id="for-loops">For loops<a class="anchor" aria-label="anchor" href="#for-loops"></a></h2>
 <hr class="half-width"><p>Loops allow us to repeat a workflow (or series of actions) a given
 number of times or while some condition is true. We would use a loop to
 automatically process data that’s stored in multiple files (daily values
@@ -477,8 +476,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---loops" class="callout-inner">
-<h3 class="callout-title">Challenge - Loops<a class="anchor" aria-label="anchor" href="#challenge---loops"></a>
-</h3>
+<h3 class="callout-title">Challenge - Loops</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li><p>What happens if we don’t include the <code>pass</code>
 statement?</p></li>
@@ -541,8 +539,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="automating-data-processing-using-for-loops">Automating data processing using For Loops<a class="anchor" aria-label="anchor" href="#automating-data-processing-using-for-loops"></a>
-<a class="anchor" aria-label="anchor" href="#automating-data-processing-using-for-loops"></a></h2>
+</section><section><h2 class="section-heading" id="automating-data-processing-using-for-loops">Automating data processing using For Loops<a class="anchor" aria-label="anchor" href="#automating-data-processing-using-for-loops"></a></h2>
 <hr class="half-width"><p>The file we’ve been using so far, <code>surveys.csv</code>, contains
 25 years of data and is very large. We would like to separate the data
 for each year into a separate file.</p>
@@ -699,8 +696,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <p>Look inside the <code>yearly_files</code> directory and check a
 couple of the files you just created to confirm that everything worked
 as expected.</p>
-</section><section><h2 class="section-heading" id="writing-unique-file-names">Writing Unique File Names<a class="anchor" aria-label="anchor" href="#writing-unique-file-names"></a>
-<a class="anchor" aria-label="anchor" href="#writing-unique-file-names"></a></h2>
+</section><section><h2 class="section-heading" id="writing-unique-file-names">Writing Unique File Names<a class="anchor" aria-label="anchor" href="#writing-unique-file-names"></a></h2>
 <hr class="half-width"><p>Notice that the code above created a unique filename for each
 year.</p>
 <div class="codewrapper sourceCode" id="cb26">
@@ -729,8 +725,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---modifying-loops" class="callout-inner">
-<h3 class="callout-title">Challenge - Modifying loops<a class="anchor" aria-label="anchor" href="#challenge---modifying-loops"></a>
-</h3>
+<h3 class="callout-title">Challenge - Modifying loops</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li><p>Some of the surveys you saved are missing data (they have null
 values that show up as NaN - Not A Number - in the DataFrames and do not
@@ -786,8 +781,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="building-reusable-and-modular-code-with-functions">Building reusable and modular code with functions<a class="anchor" aria-label="anchor" href="#building-reusable-and-modular-code-with-functions"></a>
-<a class="anchor" aria-label="anchor" href="#building-reusable-and-modular-code-with-functions"></a></h2>
+</section><section><h2 class="section-heading" id="building-reusable-and-modular-code-with-functions">Building reusable and modular code with functions<a class="anchor" aria-label="anchor" href="#building-reusable-and-modular-code-with-functions"></a></h2>
 <hr class="half-width"><p>Suppose that separating large data files into individual yearly files
 is a task that we frequently have to perform. We could write a
 <strong>for loop</strong> like the one above every time we needed to do
@@ -863,8 +857,7 @@ <h3 class="accordion-header" id="headingInstructor1">  <div class="note-square">
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---functions" class="callout-inner">
-<h3 class="callout-title">Challenge - Functions<a class="anchor" aria-label="anchor" href="#challenge---functions"></a>
-</h3>
+<h3 class="callout-title">Challenge - Functions</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li>Change the values of the arguments provided to the function and
 check its output</li>
@@ -1121,8 +1114,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge-more-functions" class="callout-inner">
-<h3 class="callout-title">Challenge: More functions<a class="anchor" aria-label="anchor" href="#challenge-more-functions"></a>
-</h3>
+<h3 class="callout-title">Challenge: More functions</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li>Add two arguments to the functions we wrote that take the path of
 the directory where the files will be written and the root of the file
@@ -1319,8 +1311,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---variables" class="callout-inner">
-<h3 class="callout-title">Challenge - Variables<a class="anchor" aria-label="anchor" href="#challenge---variables"></a>
-</h3>
+<h3 class="callout-title">Challenge - Variables</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li>What type of object corresponds to a variable declared as
 <code>None</code>? (Hint: create a variable set to <code>None</code> and
@@ -1420,8 +1411,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="if-statements">If Statements<a class="anchor" aria-label="anchor" href="#if-statements"></a>
-<a class="anchor" aria-label="anchor" href="#if-statements"></a></h2>
+</section><section><h2 class="section-heading" id="if-statements">If Statements<a class="anchor" aria-label="anchor" href="#if-statements"></a></h2>
 <hr class="half-width"><p>The body of the test function now has two conditionals (if
 statements) that check the values of <code>start_year</code> and
 <code>end_year</code>. If statements execute a segment of code when some
@@ -1513,8 +1503,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---modifying-functions" class="callout-inner">
-<h3 class="callout-title">Challenge - Modifying functions<a class="anchor" aria-label="anchor" href="#challenge---modifying-functions"></a>
-</h3>
+<h3 class="callout-title">Challenge - Modifying functions</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li><p>Rewrite the <code>one_year_csv_writer</code> and
 <code>yearly_data_csv_writer</code> functions to have keyword arguments
@@ -1701,8 +1690,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul><li>Loops help automate repetitive tasks over sets of items.</li>
 <li>Loops combined with functions provide a way to process data more
@@ -1749,7 +1737,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
         <p>Materials licensed under <a href="LICENSE.html">CC-BY 4.0</a> by the authors</p>
 
         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
-        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.5" class="external-link">sandpaper (0.16.5)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.3" class="external-link">varnish (1.0.3)</a></p>
+        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.6" class="external-link">sandpaper (0.16.6)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.4" class="external-link">varnish (1.0.4)</a></p>
 			</div>
 		</footer></div> <!-- / div.container -->
 	<div id="to-top">
@@ -1772,7 +1760,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/instructor/06-loops-and-functions.html",
   "dateCreated": "2015-03-19",
   "dateModified": "2023-05-18",
-  "datePublished": "2024-08-20"
+  "datePublished": "2024-08-27"
 }
 
   </script><script>
diff --git a/instructor/07-visualization-ggplot-python.html b/instructor/07-visualization-ggplot-python.html
index e504a4ff4..12ff2cce0 100644
--- a/instructor/07-visualization-ggplot-python.html
+++ b/instructor/07-visualization-ggplot-python.html
@@ -304,10 +304,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
                     RESOURCES
                   </button>
                 </h2>
@@ -327,7 +327,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
                 </div>
               </div>
             </div>
-            <hr class="half-width resources"><a href="../instructor/aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="../instructor/aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
@@ -403,8 +403,7 @@ <h3 class="card-title">Objectives</h3>
 </div>
 </div>
 </div>
-<section><h2 class="section-heading" id="disclaimer">Disclaimer<a class="anchor" aria-label="anchor" href="#disclaimer"></a>
-<a class="anchor" aria-label="anchor" href="#disclaimer"></a></h2>
+<section><h2 class="section-heading" id="disclaimer">Disclaimer<a class="anchor" aria-label="anchor" href="#disclaimer"></a></h2>
 <hr class="half-width"><p>Python has powerful built-in plotting capabilities such as
 <code>matplotlib</code>, but for this episode, we will be using the <a href="https://github.com/has2k1/plotnine?tab=readme-ov-file" class="external-link">plotnine</a>
 package, which facilitates the creation of highly-informative plots of
@@ -417,8 +416,7 @@ <h3 class="card-title">Objectives</h3>
 <i class="callout-icon" data-feather="bell"></i>
 </div>
 <div id="reminder" class="callout-inner">
-<h3 class="callout-title">Reminder<a class="anchor" aria-label="anchor" href="#reminder"></a>
-</h3>
+<h3 class="callout-title">Reminder</h3>
 <div class="callout-content">
 <p><code>plotnine</code> is not included in the standard Anaconda
 installation and needs to be installed separately. If you haven’t done
@@ -464,8 +462,7 @@ <h3 class="accordion-header" id="headingInstructor1">  <div class="note-square">
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="plotting-with-plotnine">Plotting with plotnine<a class="anchor" aria-label="anchor" href="#plotting-with-plotnine"></a>
-<a class="anchor" aria-label="anchor" href="#plotting-with-plotnine"></a></h2>
+</section><section><h2 class="section-heading" id="plotting-with-plotnine">Plotting with plotnine<a class="anchor" aria-label="anchor" href="#plotting-with-plotnine"></a></h2>
 <hr class="half-width"><p>The <code>plotnine</code> package (cfr. other packages conform The
 Grammar of Graphics) supports the creation of complex plots from data in
 a dataframe. It uses default settings, which help creating publication
@@ -552,8 +549,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---bar-chart" class="callout-inner">
-<h3 class="callout-title">Challenge - bar chart<a class="anchor" aria-label="anchor" href="#challenge---bar-chart"></a>
-</h3>
+<h3 class="callout-title">Challenge - bar chart</h3>
 <div class="callout-content">
 <p>Working on the <code>surveys_complete</code> data set, use the
 <code>plot-id</code> column to create a <code>bar</code>-plot that
@@ -589,8 +585,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <li>You can also specify aesthetics for a given <code>geom</code>
 independently of the aesthetics defined globally in the
 <code>ggplot()</code> function.</li>
-</ul></section><section><h2 class="section-heading" id="building-your-plots-iteratively">Building your plots iteratively<a class="anchor" aria-label="anchor" href="#building-your-plots-iteratively"></a>
-<a class="anchor" aria-label="anchor" href="#building-your-plots-iteratively"></a></h2>
+</ul></section><section><h2 class="section-heading" id="building-your-plots-iteratively">Building your plots iteratively<a class="anchor" aria-label="anchor" href="#building-your-plots-iteratively"></a></h2>
 <hr class="half-width"><p>Building plots with <code>plotnine</code> is typically an iterative
 process. We start by defining the dataset we’ll use, lay the axes, and
 choose a geom. Hence, the <code>data</code>, <code>aes</code> and
@@ -682,8 +677,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---bar-plot-adaptations" class="callout-inner">
-<h3 class="callout-title">Challenge - Bar plot adaptations<a class="anchor" aria-label="anchor" href="#challenge---bar-plot-adaptations"></a>
-</h3>
+<h3 class="callout-title">Challenge - Bar plot adaptations</h3>
 <div class="callout-content">
 <p>Adapt the bar plot of the previous exercise by mapping the
 <code>sex</code> variable to the color fill of the bar chart. Change the
@@ -714,8 +708,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="plotting-distributions">Plotting distributions<a class="anchor" aria-label="anchor" href="#plotting-distributions"></a>
-<a class="anchor" aria-label="anchor" href="#plotting-distributions"></a></h2>
+</section><section><h2 class="section-heading" id="plotting-distributions">Plotting distributions<a class="anchor" aria-label="anchor" href="#plotting-distributions"></a></h2>
 <hr class="half-width"><p>Visualizing distributions is a common task during data exploration
 and analysis. To visualize the distribution of <code>weight</code>
 within each <code>species_id</code> group, a boxplot can be used:</p>
@@ -746,8 +739,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---distributions" class="callout-inner">
-<h3 class="callout-title">Challenge - distributions<a class="anchor" aria-label="anchor" href="#challenge---distributions"></a>
-</h3>
+<h3 class="callout-title">Challenge - distributions</h3>
 <div class="callout-content">
 <p>Boxplots are useful summaries, but hide the <em>shape</em> of the
 distribution. For example, if there is a bimodal distribution, this
@@ -795,8 +787,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="plotting-time-series-data">Plotting time series data<a class="anchor" aria-label="anchor" href="#plotting-time-series-data"></a>
-<a class="anchor" aria-label="anchor" href="#plotting-time-series-data"></a></h2>
+</section><section><h2 class="section-heading" id="plotting-time-series-data">Plotting time series data<a class="anchor" aria-label="anchor" href="#plotting-time-series-data"></a></h2>
 <hr class="half-width"><p>Let’s calculate the number of counts per year for each species. To do
 that we need to group data first and count the species
 (<code>species_id</code>) within each group.</p>
@@ -841,8 +832,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <span id="cb23-5"><a href="#cb23-5" tabindex="-1"></a>    <span class="op">+</span> p9.geom_line()</span>
 <span id="cb23-6"><a href="#cb23-6" tabindex="-1"></a>)</span></code></pre>
 </div>
-<figure><img src="../fig/06_time_plot.png" alt="Line graph of count per year where data for each species is indicated by a different color" class="figure mx-auto d-block"></figure></section><section><h2 class="section-heading" id="faceting">Faceting<a class="anchor" aria-label="anchor" href="#faceting"></a>
-<a class="anchor" aria-label="anchor" href="#faceting"></a></h2>
+<figure><img src="../fig/06_time_plot.png" alt="Line graph of count per year where data for each species is indicated by a different color" class="figure mx-auto d-block"></figure></section><section><h2 class="section-heading" id="faceting">Faceting<a class="anchor" aria-label="anchor" href="#faceting"></a></h2>
 <hr class="half-width"><p>As any other library supporting the Grammar of Graphics,
 <code>plotnine</code> has a special technique called <em>faceting</em>
 that allows to split one plot into multiple plots based on a factor
@@ -912,8 +902,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---facetting" class="callout-inner">
-<h3 class="callout-title">Challenge - facetting<a class="anchor" aria-label="anchor" href="#challenge---facetting"></a>
-</h3>
+<h3 class="callout-title">Challenge - facetting</h3>
 <div class="callout-content">
 <p>Create a separate plot for each of the species that depicts how the
 average weight of the species changes through the years.</p>
@@ -945,8 +934,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---facetting-1" class="callout-inner">
-<h3 class="callout-title">Challenge - facetting<a class="anchor" aria-label="anchor" href="#challenge---facetting-1"></a>
-</h3>
+<h3 class="callout-title">Challenge - facetting</h3>
 <div class="callout-content">
 <p>Based on the previous exercise, visually compare how the weights of
 male and females has changed through time by creating a separate plot
@@ -979,8 +967,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="further-customization">Further customization<a class="anchor" aria-label="anchor" href="#further-customization"></a>
-<a class="anchor" aria-label="anchor" href="#further-customization"></a></h2>
+</section><section><h2 class="section-heading" id="further-customization">Further customization<a class="anchor" aria-label="anchor" href="#further-customization"></a></h2>
 <hr class="half-width"><p>As the syntax of <code>plotnine</code> follows the original R package
 <code>ggplot2</code>, the documentation of <code>ggplot2</code> can
 provide information and inspiration to customize graphs. Take a look at
@@ -1033,8 +1020,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="message-circle"></i>
 </div>
 <div id="challenge---customization" class="callout-inner">
-<h3 class="callout-title">Challenge - customization<a class="anchor" aria-label="anchor" href="#challenge---customization"></a>
-</h3>
+<h3 class="callout-title">Challenge - customization</h3>
 <div class="callout-content">
 <p>Please take another five minutes to either improve one of the plots
 generated in this exercise or create a beautiful graph of your own.</p>
@@ -1064,8 +1050,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul><li>The <code>data</code>, <code>aes</code> variables and a
 <code>geometry</code> are the main elements of a plotnine graph</li>
@@ -1111,7 +1096,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
         <p>Materials licensed under <a href="LICENSE.html">CC-BY 4.0</a> by the authors</p>
 
         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
-        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.5" class="external-link">sandpaper (0.16.5)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.3" class="external-link">varnish (1.0.3)</a></p>
+        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.6" class="external-link">sandpaper (0.16.6)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.4" class="external-link">varnish (1.0.4)</a></p>
 			</div>
 		</footer></div> <!-- / div.container -->
 	<div id="to-top">
@@ -1134,7 +1119,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/instructor/07-visualization-ggplot-python.html",
   "dateCreated": "2015-03-19",
   "dateModified": "2024-03-29",
-  "datePublished": "2024-08-20"
+  "datePublished": "2024-08-27"
 }
 
   </script><script>
diff --git a/instructor/08-putting-it-all-together.html b/instructor/08-putting-it-all-together.html
index f8e5f1be9..487bb2504 100644
--- a/instructor/08-putting-it-all-together.html
+++ b/instructor/08-putting-it-all-together.html
@@ -302,10 +302,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
                     RESOURCES
                   </button>
                 </h2>
@@ -325,7 +325,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
                 </div>
               </div>
             </div>
-            <hr class="half-width resources"><a href="../instructor/aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="../instructor/aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
@@ -394,8 +394,7 @@ <h3 class="card-title">Objectives</h3>
 </div>
 </div>
 </div>
-<section><h2 class="section-heading" id="putting-it-all-together">Putting it all together<a class="anchor" aria-label="anchor" href="#putting-it-all-together"></a>
-<a class="anchor" aria-label="anchor" href="#putting-it-all-together"></a></h2>
+<section><h2 class="section-heading" id="putting-it-all-together">Putting it all together<a class="anchor" aria-label="anchor" href="#putting-it-all-together"></a></h2>
 <hr class="half-width"><p>Up to this point, we have walked through tasks that are often
 involved in handling and processing data using the workshop-ready
 cleaned files that we have provided. In this wrap-up exercise, we will
@@ -405,8 +404,7 @@ <h3 class="card-title">Objectives</h3>
 step-by-step directions to each of the tasks. Use the lesson materials
 you’ve already gone through as well as the Python documentation to help
 you along.</p>
-</section><section><h2 class="section-heading" id="obtain-data">Obtain data<a class="anchor" aria-label="anchor" href="#obtain-data"></a>
-<a class="anchor" aria-label="anchor" href="#obtain-data"></a></h2>
+</section><section><h2 class="section-heading" id="obtain-data">Obtain data<a class="anchor" aria-label="anchor" href="#obtain-data"></a></h2>
 <hr class="half-width"><p>There are many repositories online from which you can obtain data. We
 are providing you with one data file to use with these exercises, but
 feel free to use any data that is relevant to your research. The file <a href="../data/bouldercreek_09_2013.txt"><code>bouldercreek_09_2013.txt</code></a>
@@ -414,8 +412,7 @@ <h3 class="card-title">Objectives</h3>
 cubic feet per second) for a streamgage on Boulder Creek at North 75th
 Street (USGS gage06730200) for 1-30 September 2013. If you’d like to use
 this dataset, please find it in the data folder.</p>
-</section><section><h2 class="section-heading" id="clean-up-your-data-and-open-it-using-python-and-pandas">Clean up your data and open it using Python and Pandas<a class="anchor" aria-label="anchor" href="#clean-up-your-data-and-open-it-using-python-and-pandas"></a>
-<a class="anchor" aria-label="anchor" href="#clean-up-your-data-and-open-it-using-python-and-pandas"></a></h2>
+</section><section><h2 class="section-heading" id="clean-up-your-data-and-open-it-using-python-and-pandas">Clean up your data and open it using Python and Pandas<a class="anchor" aria-label="anchor" href="#clean-up-your-data-and-open-it-using-python-and-pandas"></a></h2>
 <hr class="half-width"><p>To begin, import your data file into Python using Pandas. Did it
 fail? Your data file probably has a header that Pandas does not
 recognize as part of the data table. Remove this header, but do not
@@ -468,8 +465,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 0          100            10
 1          200            20</code></pre>
 </div>
-</section><section><h2 class="section-heading" id="matplotlib-package">Matplotlib package<a class="anchor" aria-label="anchor" href="#matplotlib-package"></a>
-<a class="anchor" aria-label="anchor" href="#matplotlib-package"></a></h2>
+</section><section><h2 class="section-heading" id="matplotlib-package">Matplotlib package<a class="anchor" aria-label="anchor" href="#matplotlib-package"></a></h2>
 <hr class="half-width"><p><a href="https://matplotlib.org/" class="external-link">Matplotlib</a> is a Python package
 that is widely used throughout the scientific Python community to create
 high-quality and publication-ready graphics. It supports a wide range of
@@ -498,8 +494,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="bell"></i>
 </div>
 <div id="tip" class="callout-inner">
-<h3 class="callout-title">Tip<a class="anchor" aria-label="anchor" href="#tip"></a>
-</h3>
+<h3 class="callout-title">Tip</h3>
 <div class="callout-content">
 <p>By default, matplotlib creates a figure in a separate window. When
 using Jupyter notebooks, we can make figures appear in-line within the
@@ -520,8 +515,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="bell"></i>
 </div>
 <div id="tip-1" class="callout-inner">
-<h3 class="callout-title">Tip<a class="anchor" aria-label="anchor" href="#tip-1"></a>
-</h3>
+<h3 class="callout-title">Tip</h3>
 <div class="callout-content">
 <p>Matplotlib itself can be overwhelming, so a useful strategy is to do
 as much as you easily can in a convenience layer, <em>i.e.</em> start
@@ -560,8 +554,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="bell"></i>
 </div>
 <div id="tip-cross-platform-visualization-of-figures" class="callout-inner">
-<h3 class="callout-title">Tip: Cross-Platform Visualization of Figures<a class="anchor" aria-label="anchor" href="#tip-cross-platform-visualization-of-figures"></a>
-</h3>
+<h3 class="callout-title">Tip: Cross-Platform Visualization of Figures</h3>
 <div class="callout-content">
 <p>Jupyter Notebooks make many aspects of data analysis and
 visualization much simpler. This includes doing some of the labor of
@@ -612,8 +605,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="message-circle"></i>
 </div>
 <div id="challenge---drawing-from-distributions" class="callout-inner">
-<h3 class="callout-title">Challenge - Drawing from distributions<a class="anchor" aria-label="anchor" href="#challenge---drawing-from-distributions"></a>
-</h3>
+<h3 class="callout-title">Challenge - Drawing from distributions</h3>
 <div class="callout-content">
 <p>Have a look at <a href="https://docs.scipy.org/doc/numpy/reference/random/index.html" class="external-link"><code>numpy.random</code>
 documentation</a>. Choose a distribution you have no familiarity with,
@@ -668,8 +660,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---pandas-and-matplotlib" class="callout-inner">
-<h3 class="callout-title">Challenge - Pandas and matplotlib<a class="anchor" aria-label="anchor" href="#challenge---pandas-and-matplotlib"></a>
-</h3>
+<h3 class="callout-title">Challenge - Pandas and matplotlib</h3>
 <div class="callout-content">
 <p>Load the streamgage data set with Pandas, subset the week of the 2013
 Front Range flood (September 11 through 15) and create a hydrograph
@@ -738,8 +729,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="bell"></i>
 </div>
 <div id="tip-saving-figures-in-different-formats" class="callout-inner">
-<h3 class="callout-title">Tip: Saving figures in different formats<a class="anchor" aria-label="anchor" href="#tip-saving-figures-in-different-formats"></a>
-</h3>
+<h3 class="callout-title">Tip: Saving figures in different formats</h3>
 <div class="callout-content">
 <p>Matplotlib recognizes the extension used in the filename and supports
 (on most computers) png, pdf, ps, eps and svg formats.</p>
@@ -751,8 +741,7 @@ <h3 class="callout-title">Tip: Saving figures in different formats<a class="anch
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---saving-figure-to-file" class="callout-inner">
-<h3 class="callout-title">Challenge - Saving figure to file<a class="anchor" aria-label="anchor" href="#challenge---saving-figure-to-file"></a>
-</h3>
+<h3 class="callout-title">Challenge - Saving figure to file</h3>
 <div class="callout-content">
 <p>Check the documentation of the <code>savefig</code> method and check
 how you can comply to journals requiring figures as <code>pdf</code>
@@ -779,8 +768,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="make-other-types-of-plots">Make other types of plots:<a class="anchor" aria-label="anchor" href="#make-other-types-of-plots"></a>
-<a class="anchor" aria-label="anchor" href="#make-other-types-of-plots"></a></h2>
+</section><section><h2 class="section-heading" id="make-other-types-of-plots">Make other types of plots:<a class="anchor" aria-label="anchor" href="#make-other-types-of-plots"></a></h2>
 <hr class="half-width"><p>Matplotlib can make many other types of plots in much the same way
 that it makes two-dimensional line plots. Look through the examples in
 <a href="https://matplotlib.org/stable/plot_types/" class="external-link">https://matplotlib.org/stable/plot_types/</a>
@@ -792,8 +780,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="message-circle"></i>
 </div>
 <div id="challenge---final-plot" class="callout-inner">
-<h3 class="callout-title">Challenge - Final Plot<a class="anchor" aria-label="anchor" href="#challenge---final-plot"></a>
-</h3>
+<h3 class="callout-title">Challenge - Final Plot</h3>
 <div class="callout-content">
 <p>Display your data using one or more plot types from the example
 gallery. Which ones to choose will depend on the content of your own
@@ -810,8 +797,7 @@ <h3 class="callout-title">Challenge - Final Plot<a class="anchor" aria-label="an
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul><li>Matplotlib is the engine behind plotnine and Pandas plots.</li>
 <li>The object-based nature of matplotlib plots enables their detailed
@@ -856,7 +842,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
         <p>Materials licensed under <a href="LICENSE.html">CC-BY 4.0</a> by the authors</p>
 
         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
-        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.5" class="external-link">sandpaper (0.16.5)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.3" class="external-link">varnish (1.0.3)</a></p>
+        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.6" class="external-link">sandpaper (0.16.6)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.4" class="external-link">varnish (1.0.4)</a></p>
 			</div>
 		</footer></div> <!-- / div.container -->
 	<div id="to-top">
@@ -879,7 +865,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/instructor/08-putting-it-all-together.html",
   "dateCreated": "2015-03-19",
   "dateModified": "2024-01-31",
-  "datePublished": "2024-08-20"
+  "datePublished": "2024-08-27"
 }
 
   </script><script>
diff --git a/instructor/09-working-with-sql.html b/instructor/09-working-with-sql.html
index 2fc9ab51d..b7c6676bb 100644
--- a/instructor/09-working-with-sql.html
+++ b/instructor/09-working-with-sql.html
@@ -301,10 +301,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
                     RESOURCES
                   </button>
                 </h2>
@@ -324,7 +324,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
                 </div>
               </div>
             </div>
-            <hr class="half-width resources"><a href="../instructor/aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="../instructor/aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
@@ -397,8 +397,7 @@ <h3 class="card-title">Objectives</h3>
 </div>
 </div>
 </div>
-<section><h2 class="section-heading" id="python-and-sql">Python and SQL<a class="anchor" aria-label="anchor" href="#python-and-sql"></a>
-<a class="anchor" aria-label="anchor" href="#python-and-sql"></a></h2>
+<section><h2 class="section-heading" id="python-and-sql">Python and SQL<a class="anchor" aria-label="anchor" href="#python-and-sql"></a></h2>
 <hr class="half-width"><p>When you open a CSV in python, and assign it to a variable name, you
 are using your computers memory to save that variable. Accessing data
 from a database like SQL is not only more efficient, but also it allows
@@ -463,8 +462,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <span id="cb2-17"><a href="#cb2-17" tabindex="-1"></a>con.close()</span></code></pre>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="accessing-data-stored-in-sqlite-using-python-and-pandas">Accessing data stored in SQLite using Python and Pandas<a class="anchor" aria-label="anchor" href="#accessing-data-stored-in-sqlite-using-python-and-pandas"></a>
-<a class="anchor" aria-label="anchor" href="#accessing-data-stored-in-sqlite-using-python-and-pandas"></a></h2>
+</section><section><h2 class="section-heading" id="accessing-data-stored-in-sqlite-using-python-and-pandas">Accessing data stored in SQLite using Python and Pandas<a class="anchor" aria-label="anchor" href="#accessing-data-stored-in-sqlite-using-python-and-pandas"></a></h2>
 <hr class="half-width"><p>Using pandas, we can import results of a SQLite query into a
 dataframe. Note that you can use the same SQL commands / syntax that we
 used in the SQLite lesson. An example of using pandas together with
@@ -484,8 +482,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <span id="cb3-10"><a href="#cb3-10" tabindex="-1"></a></span>
 <span id="cb3-11"><a href="#cb3-11" tabindex="-1"></a>con.close()</span></code></pre>
 </div>
-</section><section><h2 class="section-heading" id="storing-data-csv-vs-sqlite">Storing data: CSV vs SQLite<a class="anchor" aria-label="anchor" href="#storing-data-csv-vs-sqlite"></a>
-<a class="anchor" aria-label="anchor" href="#storing-data-csv-vs-sqlite"></a></h2>
+</section><section><h2 class="section-heading" id="storing-data-csv-vs-sqlite">Storing data: CSV vs SQLite<a class="anchor" aria-label="anchor" href="#storing-data-csv-vs-sqlite"></a></h2>
 <hr class="half-width"><p>Storing your data in an SQLite database can provide substantial
 performance improvements when reading/writing compared to CSV. The
 difference in performance becomes more noticeable as the size of the
@@ -496,8 +493,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---sql" class="callout-inner">
-<h3 class="callout-title">Challenge - SQL<a class="anchor" aria-label="anchor" href="#challenge---sql"></a>
-</h3>
+<h3 class="callout-title">Challenge - SQL</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li>Create a query that contains survey data collected between 1998 -
 2001 for observations of sex “male” or “female” that includes
@@ -514,7 +510,7 @@ <h3 class="callout-title">Challenge - SQL<a class="anchor" aria-label="anchor" h
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 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
 <div class="accordion-body">
 <ol style="list-style-type: decimal"><li>
 <div class="codewrapper sourceCode" id="cb4">
@@ -594,8 +590,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </div>
-</section><section><h2 class="section-heading" id="storing-data-create-new-tables-using-pandas">Storing data: Create new tables using Pandas<a class="anchor" aria-label="anchor" href="#storing-data-create-new-tables-using-pandas"></a>
-<a class="anchor" aria-label="anchor" href="#storing-data-create-new-tables-using-pandas"></a></h2>
+</section><section><h2 class="section-heading" id="storing-data-create-new-tables-using-pandas">Storing data: Create new tables using Pandas<a class="anchor" aria-label="anchor" href="#storing-data-create-new-tables-using-pandas"></a></h2>
 <hr class="half-width"><p>We can also use pandas to create new tables within an SQLite
 database. Here, we re-do an exercise we did before with CSV files using
 our SQLite database. We first read in our survey data, then select only
@@ -625,8 +620,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---saving-your-work" class="callout-inner">
-<h3 class="callout-title">Challenge - Saving your work<a class="anchor" aria-label="anchor" href="#challenge---saving-your-work"></a>
-</h3>
+<h3 class="callout-title">Challenge - Saving your work</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal"><li><p>For each of the challenges in the previous challenge block,
 modify your code to save the results to their own tables in the portal
@@ -642,7 +636,7 @@ <h3 class="callout-title">Challenge - Saving your work<a class="anchor" aria-lab
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution2" aria-expanded="false" aria-controls="collapseSolution2">
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 </button>
-<div id="collapseSolution2" class="accordion-collapse collapse" data-bs-parent="#accordionSolution2" aria-labelledby="headingSolution2">
+<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
 <div class="accordion-body">
 <ol style="list-style-type: decimal"><li><div class="codewrapper sourceCode" id="cb9">
 <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -685,8 +679,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul><li>sqlite3 provides a SQL-like interface to read, query, and write SQL
 databases from Python.</li>
@@ -733,7 +726,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
         <p>Materials licensed under <a href="LICENSE.html">CC-BY 4.0</a> by the authors</p>
 
         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
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+        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.6" class="external-link">sandpaper (0.16.6)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.4" class="external-link">varnish (1.0.4)</a></p>
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 		</footer></div> <!-- / div.container -->
 	<div id="to-top">
@@ -756,7 +749,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/instructor/09-working-with-sql.html",
   "dateCreated": "2015-03-19",
   "dateModified": "2023-05-18",
-  "datePublished": "2024-08-20"
+  "datePublished": "2024-08-27"
 }
 
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diff --git a/instructor/404.html b/instructor/404.html
index 48b34ca36..a2afcb997 100644
--- a/instructor/404.html
+++ b/instructor/404.html
@@ -311,10 +311,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
                     RESOURCES
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@@ -336,7 +336,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
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               </div>
             </div>
-            <hr class="half-width resources"><a href="https://datacarpentry.github.io/python-ecology-lesson/instructor/aio.html" class="external-link">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="https://datacarpentry.github.io/python-ecology-lesson/instructor/aio.html" class="external-link">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
@@ -353,8 +353,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
     <main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Page not found</h1>
         
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-<a class="anchor" aria-label="anchor" href="#our-apologies"></a></h2>
+<section><h2 class="section-heading" id="our-apologies">Our apologies!<a class="anchor" aria-label="anchor" href="#our-apologies"></a></h2>
 <hr class="half-width"><p>We cannot seem to find the page you are looking for. Here are some
 tips that may help:</p>
 <ol style="list-style-type: decimal"><li>try going back to the <a href="javascript:history.back()">previous
@@ -389,7 +388,7 @@ <h1>Page not found</h1>
         <p>Materials licensed under <a href="LICENSE.html">CC-BY 4.0</a> by the authors</p>
 
         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
-        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.5" class="external-link">sandpaper (0.16.5)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.3" class="external-link">varnish (1.0.3)</a></p>
+        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.6" class="external-link">sandpaper (0.16.6)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.4" class="external-link">varnish (1.0.4)</a></p>
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 		</footer></div> <!-- / div.container -->
 	<div id="to-top">
@@ -411,8 +410,8 @@ <h1>Page not found</h1>
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   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/instructor/404.html",
   "dateCreated": "2015-03-19",
-  "dateModified": "2024-08-20",
-  "datePublished": "2024-08-20"
+  "dateModified": "2024-08-27",
+  "datePublished": "2024-08-27"
 }
 
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diff --git a/instructor/CODE_OF_CONDUCT.html b/instructor/CODE_OF_CONDUCT.html
index b61d7d25d..925b55129 100644
--- a/instructor/CODE_OF_CONDUCT.html
+++ b/instructor/CODE_OF_CONDUCT.html
@@ -287,10 +287,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
                     RESOURCES
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@@ -310,7 +310,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
                 </div>
               </div>
             </div>
-            <hr class="half-width resources"><a href="../instructor/aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="../instructor/aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
@@ -400,7 +400,7 @@ <h1>Contributor Code of Conduct</h1>
         <p>Materials licensed under <a href="LICENSE.html">CC-BY 4.0</a> by the authors</p>
 
         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
-        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.5" class="external-link">sandpaper (0.16.5)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.3" class="external-link">varnish (1.0.3)</a></p>
+        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.6" class="external-link">sandpaper (0.16.6)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.4" class="external-link">varnish (1.0.4)</a></p>
 			</div>
 		</footer></div> <!-- / div.container -->
 	<div id="to-top">
@@ -423,7 +423,7 @@ <h1>Contributor Code of Conduct</h1>
   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/instructor/CODE_OF_CONDUCT.html",
   "dateCreated": "2015-03-19",
   "dateModified": "2023-05-08",
-  "datePublished": "2024-08-20"
+  "datePublished": "2024-08-27"
 }
 
   </script><script>
diff --git a/instructor/CONTRIBUTORS.html b/instructor/CONTRIBUTORS.html
index 39d322e58..a87aa81b0 100644
--- a/instructor/CONTRIBUTORS.html
+++ b/instructor/CONTRIBUTORS.html
@@ -287,10 +287,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
                     RESOURCES
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@@ -310,7 +310,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
                 </div>
               </div>
             </div>
-            <hr class="half-width resources"><a href="../instructor/aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="../instructor/aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
@@ -363,8 +363,7 @@ <h1>About Contributors</h1>
 time materials were refined and they presented again at the UCAR
 Software Engineering Assembly (SEA) conference in Boulder, Colorado by
 Leah Wasser (NEON,Inc) and Mariela Perignon.</p>
-<section><h2 class="section-heading" id="data">Data<a class="anchor" aria-label="anchor" href="#data"></a>
-<a class="anchor" aria-label="anchor" href="#data"></a></h2>
+<section><h2 class="section-heading" id="data">Data<a class="anchor" aria-label="anchor" href="#data"></a></h2>
 <hr class="half-width"><p>Data is from the paper S. K. Morgan Ernest, Thomas J. Valone, and
 James H. Brown. 2009. Long-term monitoring and experimental manipulation
 of a Chihuahuan Desert ecosystem near Portal, Arizona, USA. Ecology
@@ -380,8 +379,7 @@ <h1>About Contributors</h1>
 <p>Master_suction_trap_data_list_uncleaned.csv is a pre-cleaning version
 of a publicly available dataset by David Voegtlin, Doris Lagos, Douglas
 Landis and Christie Bahlai, available at <a href="https://lter.kbs.msu.edu/datatables/122" class="external-link">http://lter.kbs.msu.edu/datatables/122</a></p>
-</section><section><h2 class="section-heading" id="lessons">Lessons<a class="anchor" aria-label="anchor" href="#lessons"></a>
-<a class="anchor" aria-label="anchor" href="#lessons"></a></h2>
+</section><section><h2 class="section-heading" id="lessons">Lessons<a class="anchor" aria-label="anchor" href="#lessons"></a></h2>
 <hr class="half-width"><p>The current list of lessons.</p>
 <p>Note: these lessons were reorganized, cleaned up and developed
 further by Leah Wasser, Mariela Perignon, John Gosset and François
@@ -435,7 +433,7 @@ <h1>About Contributors</h1>
         <p>Materials licensed under <a href="LICENSE.html">CC-BY 4.0</a> by the authors</p>
 
         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
-        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.5" class="external-link">sandpaper (0.16.5)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.3" class="external-link">varnish (1.0.3)</a></p>
+        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.6" class="external-link">sandpaper (0.16.6)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.4" class="external-link">varnish (1.0.4)</a></p>
 			</div>
 		</footer></div> <!-- / div.container -->
 	<div id="to-top">
@@ -458,7 +456,7 @@ <h1>About Contributors</h1>
   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/instructor/CONTRIBUTORS.html",
   "dateCreated": "2015-03-19",
   "dateModified": "2023-05-08",
-  "datePublished": "2024-08-20"
+  "datePublished": "2024-08-27"
 }
 
   </script><script>
diff --git a/instructor/LICENSE.html b/instructor/LICENSE.html
index 58718a471..a295f73a2 100644
--- a/instructor/LICENSE.html
+++ b/instructor/LICENSE.html
@@ -287,10 +287,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
                     RESOURCES
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                 </h2>
@@ -310,7 +310,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
                 </div>
               </div>
             </div>
-            <hr class="half-width resources"><a href="../instructor/aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="../instructor/aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
@@ -355,8 +355,7 @@ <h1>Licenses</h1>
 
         
 
-<section><h2 class="section-heading" id="instructional-material">Instructional Material<a class="anchor" aria-label="anchor" href="#instructional-material"></a>
-<a class="anchor" aria-label="anchor" href="#instructional-material"></a></h2>
+<section><h2 class="section-heading" id="instructional-material">Instructional Material<a class="anchor" aria-label="anchor" href="#instructional-material"></a></h2>
 <hr class="half-width"><p>All Carpentries (Software Carpentry, Data Carpentry, and Library
 Carpentry) instructional material is made available under the <a href="https://creativecommons.org/licenses/by/4.0/" class="external-link">Creative Commons
 Attribution license</a>. The following is a human-readable summary of
@@ -389,8 +388,7 @@ <h1>Licenses</h1>
 permissions necessary for your intended use. For example, other rights
 such as publicity, privacy, or moral rights may limit how you use the
 material.</li>
-</ul></section><section><h2 class="section-heading" id="software">Software<a class="anchor" aria-label="anchor" href="#software"></a>
-<a class="anchor" aria-label="anchor" href="#software"></a></h2>
+</ul></section><section><h2 class="section-heading" id="software">Software<a class="anchor" aria-label="anchor" href="#software"></a></h2>
 <hr class="half-width"><p>Except where otherwise noted, the example programs and other software
 provided by The Carpentries are made available under the <a href="https://opensource.org" class="external-link">OSI</a>-approved <a href="https://opensource.org/licenses/mit-license.html" class="external-link">MIT
 license</a>.</p>
@@ -410,8 +408,7 @@ <h1>Licenses</h1>
 CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
 TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
 SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.</p>
-</section><section><h2 class="section-heading" id="trademark">Trademark<a class="anchor" aria-label="anchor" href="#trademark"></a>
-<a class="anchor" aria-label="anchor" href="#trademark"></a></h2>
+</section><section><h2 class="section-heading" id="trademark">Trademark<a class="anchor" aria-label="anchor" href="#trademark"></a></h2>
 <hr class="half-width"><p>“The Carpentries”, “Software Carpentry”, “Data Carpentry”, and
 “Library Carpentry” and their respective logos are registered trademarks
 of <a href="https://communityin.org/" class="external-link">Community Initiatives</a>.</p>
@@ -451,7 +448,7 @@ <h1>Licenses</h1>
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-        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.5" class="external-link">sandpaper (0.16.5)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.3" class="external-link">varnish (1.0.3)</a></p>
+        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.6" class="external-link">sandpaper (0.16.6)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.4" class="external-link">varnish (1.0.4)</a></p>
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@@ -474,7 +471,7 @@ <h1>Licenses</h1>
   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/instructor/LICENSE.html",
   "dateCreated": "2015-03-19",
   "dateModified": "2023-05-08",
-  "datePublished": "2024-08-20"
+  "datePublished": "2024-08-27"
 }
 
   </script><script>
diff --git a/instructor/aio.html b/instructor/aio.html
index c5f678698..11f119848 100644
--- a/instructor/aio.html
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             </div>
 
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+<div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
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@@ -391,7 +391,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
                 </div>
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+            <hr class="half-width lesson-resources">
 <a href="../instructor/aio.html">See all in one page</a>
 
 
@@ -456,7 +456,6 @@ <h3 class="card-title">Objectives</h3>
 </div>
 </div>
 <section><h2 class="section-heading" id="what-is-python">What is Python?<a class="anchor" aria-label="anchor" href="#what-is-python"></a>
-<a class="anchor" aria-label="anchor" href="#what-is-python"></a>
 </h2>
 <hr class="half-width">
 <p>Python is a general purpose programming language that supports rapid
@@ -511,7 +510,6 @@ <h3 class="card-title">Objectives</h3>
 Cross-Platform:</strong> We know we have already said that but it is
 worth repeating.</p></li>
 </ul></section><section><h2 class="section-heading" id="knowing-your-way-around-anaconda">Knowing your way around Anaconda<a class="anchor" aria-label="anchor" href="#knowing-your-way-around-anaconda"></a>
-<a class="anchor" aria-label="anchor" href="#knowing-your-way-around-anaconda"></a>
 </h2>
 <hr class="half-width">
 <p><a href="https://www.anaconda.com/download" class="external-link">Anaconda</a> distribution
@@ -529,7 +527,6 @@ <h3 class="card-title">Objectives</h3>
 <p>Anaconda comes with a package manager called <a href="https://conda.io/docs/" class="external-link">conda</a> used to install and update
 additional packages.</p>
 </section><section><h2 class="section-heading" id="research-project-best-practices">Research Project: Best Practices<a class="anchor" aria-label="anchor" href="#research-project-best-practices"></a>
-<a class="anchor" aria-label="anchor" href="#research-project-best-practices"></a>
 </h2>
 <hr class="half-width">
 <p>It is a good idea to keep a set of related data, analyses, and text
@@ -566,7 +563,6 @@ <h3 id="organizing-your-working-directory">Organizing your working directory<a c
 files.</p>
 </div>
 </section><section><h2 class="section-heading" id="what-is-programming-and-coding">What is Programming and Coding?<a class="anchor" aria-label="anchor" href="#what-is-programming-and-coding"></a>
-<a class="anchor" aria-label="anchor" href="#what-is-programming-and-coding"></a>
 </h2>
 <hr class="half-width">
 <p>Programming is the process of writing <em>“programs”</em> that a
@@ -644,7 +640,6 @@ <h4 id="if-you-are-working-with-spyder">If you are working with Spyder:<a class=
 command and return you to the <code>In [..]:</code> prompt.</p>
 </div>
 </section><section><h2 class="section-heading" id="how-to-learn-more-after-the-workshop">How to learn more after the workshop?<a class="anchor" aria-label="anchor" href="#how-to-learn-more-after-the-workshop"></a>
-<a class="anchor" aria-label="anchor" href="#how-to-learn-more-after-the-workshop"></a>
 </h2>
 <hr class="half-width">
 <p>The material we cover during this workshop will give you an initial
@@ -658,7 +653,6 @@ <h4 id="if-you-are-working-with-spyder">If you are working with Spyder:<a class=
 online, modifying existing code to suit your purpose might make it
 easier for you to get started.</p>
 </section><section><h2 class="section-heading" id="seeking-help">Seeking help<a class="anchor" aria-label="anchor" href="#seeking-help"></a>
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 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
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 <ul>
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@@ -797,7 +789,6 @@ <h3 class="card-title">Objectives</h3>
 </div>
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 <section><h2 class="section-heading" id="interpreter">Interpreter<a class="anchor" aria-label="anchor" href="#interpreter"></a>
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 </h2>
 <hr class="half-width">
 <p>Python is an interpreted language which can be used in two ways:</p>
@@ -857,7 +848,6 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <pre class="output" tabindex="0"><code>Hello World</code></pre>
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 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li>What happens when you execute <code>a_list[1] = 5</code>?</li>
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 </div>
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 <p>A <strong>dictionary</strong> is a container that holds pairs of
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 <p>Defining a section of code as a <strong>function</strong> in Python
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 <section><h2 class="section-heading" id="working-with-pandas-dataframes-in-python">Working With Pandas DataFrames in Python<a class="anchor" aria-label="anchor" href="#working-with-pandas-dataframes-in-python"></a>
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@@ -1646,7 +1629,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <code>pandas</code> each time we call a Pandas function.</p>
 </div>
 </section><section><h2 class="section-heading" id="reading-csv-data-using-pandas">Reading CSV Data Using Pandas<a class="anchor" aria-label="anchor" href="#reading-csv-data-using-pandas"></a>
-<a class="anchor" aria-label="anchor" href="#reading-csv-data-using-pandas"></a>
 </h2>
 <hr class="half-width">
 <p>We will begin by locating and reading our survey data which are in
@@ -1878,8 +1860,7 @@ <h4 id="useful-ways-to-view-dataframe-objects-in-python">Useful Ways to View Dat
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+<h3 class="callout-title">Challenge - DataFrames</h3>
 <div class="callout-content">
 <p>Using our DataFrame <code>surveys_df</code>, try out the
 <strong>attributes</strong> &amp; <strong>methods</strong> below to see
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   <h3 class="accordion-header" id="headingInstructor1">  <div class="note-square"><i aria-hidden="true" class="callout-icon" data-feather="edit-2"></i></div> Recapping object (im)mutability </h3>
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 <p>Working through solutions to the challenge above can provide a good
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 <div id="challenge---statistics" class="callout-inner">
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 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li><p>Create a list of unique site IDs (“plot_id”) found in the surveys
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 <div class="accordion-body">
 <ol style="list-style-type: decimal">
 <li><code>site_names = pd.unique(surveys_df["plot_id"])</code></li>
@@ -2046,7 +2026,6 @@ <h4 class="accordion-header" id="headingSolution2"> Show me the solution </h4>
 </div>
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 </h2>
 <hr class="half-width">
 <p>We often want to calculate summary statistics grouped by subsets or
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 <div class="accordion-body">
 <p>In pandas prior to version 0.18.1 there is a bug causing
 <code>surveys_df['weight'].describe()</code> to return a runtime
@@ -2143,8 +2122,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
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 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li>How many recorded individuals are female <code>F</code> and how many
@@ -2170,7 +2148,7 @@ <h3 class="callout-title">Challenge - Summary Data<a class="anchor" aria-label="
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 <ol style="list-style-type: decimal">
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@@ -2262,8 +2240,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
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 </div>
 <div id="challenge---make-a-list" class="callout-inner">
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-</h3>
+<h3 class="callout-title">Challenge - Make a list</h3>
 <div class="callout-content">
 <p>What’s another way to create a list of species and associated
 <code>count</code> of the records in the data? Hint: you can perform
@@ -2278,7 +2255,7 @@ <h3 class="callout-title">Challenge - Make a list<a class="anchor" aria-label="a
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 <div class="accordion-body">
 <p>As well as calling <code>count()</code> on the <code>record_id</code>
 column of the grouped DataFrame as above, an equivalent result can be
@@ -2363,7 +2340,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 to a mean, area, or some other value calculated from our data.</p>
 </div>
 </section><section><h2 class="section-heading" id="quick-easy-plotting-data-using-pandas">Quick &amp; Easy Plotting Data Using Pandas<a class="anchor" aria-label="anchor" href="#quick-easy-plotting-data-using-pandas"></a>
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 </h2>
 <hr class="half-width">
 <p>We can plot our summary stats using Pandas, too.</p>
@@ -2390,8 +2366,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
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 <div id="challenge---plots" class="callout-inner">
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+<h3 class="callout-title">Challenge - Plots</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li>Create a plot of average weight across all species per site.</li>
@@ -2406,7 +2381,7 @@ <h3 class="callout-title">Challenge - Plots<a class="anchor" aria-label="anchor"
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 <div class="accordion-body">
 <ol style="list-style-type: decimal">
 <li><code>surveys_df.groupby('plot_id').mean()["weight"].plot(kind='bar')</code></li>
@@ -2424,8 +2399,7 @@ <h4 class="accordion-header" id="headingSolution5"> Show me the solution </h4>
 <i class="callout-icon" data-feather="zap"></i>
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 <div id="summary-plotting-challenge" class="callout-inner">
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-</h3>
+<h3 class="callout-title">Summary Plotting Challenge</h3>
 <div class="callout-content">
 <p>Create a stacked bar plot, with weight on the Y axis, and the stacked
 variable being sex. The plot should show total weight by sex for each
@@ -2477,7 +2451,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
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 <div class="accordion-body">
 <p>First we group data by site and by sex, and then calculate a total
 for each site.</p>
@@ -2550,8 +2524,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
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 </div>
 <div class="callout-inner">
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 <ul>
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 </button>
-<div id="collapseInstructor1" class="accordion-collapse collapse" data-bs-parent="#accordionInstructor1" aria-labelledby="headingInstructor1">
+<div id="collapseInstructor1" class="accordion-collapse collapse" aria-labelledby="headingInstructor1" data-bs-parent="#accordionInstructor1">
 <div class="accordion-body">
 <p>Tip: use <code>.head()</code> method throughout this lesson to keep
 your display neater for students. Encourage students to try with and
@@ -2649,7 +2622,6 @@ <h3 class="accordion-header" id="headingInstructor1">  <div class="note-square">
 <li>subsetting.</li>
 </ul>
 <section><h2 class="section-heading" id="loading-our-data">Loading our data<a class="anchor" aria-label="anchor" href="#loading-our-data"></a>
-<a class="anchor" aria-label="anchor" href="#loading-our-data"></a>
 </h2>
 <hr class="half-width">
 <p>We will continue to use the surveys dataset that we worked with in
@@ -2664,7 +2636,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <span id="cb1-5"><a href="#cb1-5" tabindex="-1"></a>surveys_df <span class="op">=</span> pd.read_csv(<span class="st">"data/surveys.csv"</span>)</span></code></pre>
 </div>
 </section><section><h2 class="section-heading" id="indexing-and-slicing-in-python">Indexing and Slicing in Python<a class="anchor" aria-label="anchor" href="#indexing-and-slicing-in-python"></a>
-<a class="anchor" aria-label="anchor" href="#indexing-and-slicing-in-python"></a>
 </h2>
 <hr class="half-width">
 <p>We often want to work with subsets of a <strong>DataFrame</strong>
@@ -2672,7 +2643,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 labels (column headings), numeric ranges, or specific x,y index
 locations.</p>
 </section><section><h2 class="section-heading" id="selecting-data-using-labels-column-headings">Selecting data using Labels (Column Headings)<a class="anchor" aria-label="anchor" href="#selecting-data-using-labels-column-headings"></a>
-<a class="anchor" aria-label="anchor" href="#selecting-data-using-labels-column-headings"></a>
 </h2>
 <hr class="half-width">
 <p>We use square brackets <code>[]</code> to select a subset of a Python
@@ -2722,8 +2692,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="bell"></i>
 </div>
 <div id="reminder" class="callout-inner">
-<h3 class="callout-title">Reminder<a class="anchor" aria-label="anchor" href="#reminder"></a>
-</h3>
+<h3 class="callout-title">Reminder</h3>
 <div class="callout-content">
 <p>The Python language and its modules (such as Pandas) define reserved
 words that should not be used as identifiers when assigning objects and
@@ -2742,7 +2711,6 @@ <h3 class="callout-title">Reminder<a class="anchor" aria-label="anchor" href="#r
 </div>
 </div>
 </section><section><h2 class="section-heading" id="extracting-range-based-subsets-slicing">Extracting Range based Subsets: Slicing<a class="anchor" aria-label="anchor" href="#extracting-range-based-subsets-slicing"></a>
-<a class="anchor" aria-label="anchor" href="#extracting-range-based-subsets-slicing"></a>
 </h2>
 <hr class="half-width">
 <div id="reminder-1" class="callout">
@@ -2750,8 +2718,7 @@ <h3 class="callout-title">Reminder<a class="anchor" aria-label="anchor" href="#r
 <i class="callout-icon" data-feather="bell"></i>
 </div>
 <div id="reminder-1" class="callout-inner">
-<h3 class="callout-title">Reminder<a class="anchor" aria-label="anchor" href="#reminder-1"></a>
-</h3>
+<h3 class="callout-title">Reminder</h3>
 <div class="callout-content">
 <p>Python uses 0-based indexing.</p>
 </div>
@@ -2773,8 +2740,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---extracting-data" class="callout-inner">
-<h3 class="callout-title">Challenge - Extracting data<a class="anchor" aria-label="anchor" href="#challenge---extracting-data"></a>
-</h3>
+<h3 class="callout-title">Challenge - Extracting data</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li>
@@ -2812,7 +2778,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
 <div class="accordion-body">
 <ol style="list-style-type: decimal">
 <li><p><code>a[0]</code> returns <code>1</code>, as Python starts with
@@ -2844,7 +2810,6 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </section><section><h2 class="section-heading" id="slicing-subsets-of-rows-in-python">Slicing Subsets of Rows in Python<a class="anchor" aria-label="anchor" href="#slicing-subsets-of-rows-in-python"></a>
-<a class="anchor" aria-label="anchor" href="#slicing-subsets-of-rows-in-python"></a>
 </h2>
 <hr class="half-width">
 <p>Slicing using the <code>[]</code> operator selects a set of rows
@@ -2876,7 +2841,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 concept of copying objects and the concept of referencing objects in
 Python.</p>
 </section><section><h2 class="section-heading" id="copying-objects-vs-referencing-objects-in-python">Copying Objects vs Referencing Objects in Python<a class="anchor" aria-label="anchor" href="#copying-objects-vs-referencing-objects-in-python"></a>
-<a class="anchor" aria-label="anchor" href="#copying-objects-vs-referencing-objects-in-python"></a>
 </h2>
 <hr class="half-width">
 <p>Let’s start with an example:</p>
@@ -2962,7 +2926,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <pre class="sourceCode python" tabindex="0"><code class="sourceCode python"><span id="cb18-1"><a href="#cb18-1" tabindex="-1"></a>surveys_df <span class="op">=</span> pd.read_csv(<span class="st">"data/surveys.csv"</span>)</span></code></pre>
 </div>
 </section><section><h2 class="section-heading" id="slicing-subsets-of-rows-and-columns-in-python">Slicing Subsets of Rows and Columns in Python<a class="anchor" aria-label="anchor" href="#slicing-subsets-of-rows-and-columns-in-python"></a>
-<a class="anchor" aria-label="anchor" href="#slicing-subsets-of-rows-and-columns-in-python"></a>
 </h2>
 <hr class="half-width">
 <p>We can select specific ranges of our data in both the row and column
@@ -3066,8 +3029,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---range" class="callout-inner">
-<h3 class="callout-title">Challenge - Range<a class="anchor" aria-label="anchor" href="#challenge---range"></a>
-</h3>
+<h3 class="callout-title">Challenge - Range</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li>What happens when you execute:
@@ -3097,7 +3059,7 @@ <h3 class="callout-title">Challenge - Range<a class="anchor" aria-label="anchor"
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution2" aria-expanded="false" aria-controls="collapseSolution2">
   <h4 class="accordion-header" id="headingSolution2"> Selection Challenges </h4>
 </button>
-<div id="collapseSolution2" class="accordion-collapse collapse" data-bs-parent="#accordionSolution2" aria-labelledby="headingSolution2">
+<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
 <div class="accordion-body">
 <ol style="list-style-type: decimal">
 <li>
@@ -3170,7 +3132,6 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </section><section><h2 class="section-heading" id="subsetting-data-using-criteria">Subsetting Data using Criteria<a class="anchor" aria-label="anchor" href="#subsetting-data-using-criteria"></a>
-<a class="anchor" aria-label="anchor" href="#subsetting-data-using-criteria"></a>
 </h2>
 <hr class="half-width">
 <p>We can also select a subset of our data using criteria. For example,
@@ -3236,8 +3197,7 @@ <h3 id="python-syntax-cheat-sheet">Python Syntax Cheat Sheet<a class="anchor" ar
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---queries" class="callout-inner">
-<h3 class="callout-title">Challenge - Queries<a class="anchor" aria-label="anchor" href="#challenge---queries"></a>
-</h3>
+<h3 class="callout-title">Challenge - Queries</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li><p>Select a subset of rows in the <code>surveys_df</code> DataFrame
@@ -3271,7 +3231,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution3" aria-expanded="false" aria-controls="collapseSolution3">
   <h4 class="accordion-header" id="headingSolution3"> Show me the solution </h4>
 </button>
-<div id="collapseSolution3" class="accordion-collapse collapse" data-bs-parent="#accordionSolution3" aria-labelledby="headingSolution3">
+<div id="collapseSolution3" class="accordion-collapse collapse" aria-labelledby="headingSolution3" data-bs-parent="#accordionSolution3">
 <div class="accordion-body">
 <ol style="list-style-type: decimal">
 <li>
@@ -3363,7 +3323,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <button class="accordion-button instructor-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseInstructor2" aria-expanded="false" aria-controls="collapseInstructor2">
   <h3 class="accordion-header" id="headingInstructor2">  <div class="note-square"><i aria-hidden="true" class="callout-icon" data-feather="edit-2"></i></div> Instructor Note </h3>
 </button>
-<div id="collapseInstructor2" class="accordion-collapse collapse" data-bs-parent="#accordionInstructor2" aria-labelledby="headingInstructor2">
+<div id="collapseInstructor2" class="accordion-collapse collapse" aria-labelledby="headingInstructor2" data-bs-parent="#accordionInstructor2">
 <div class="accordion-body">
 <p>When working through the solutions to the challenges above, you could
 introduce already that all these slice operations are actually based on
@@ -3376,7 +3336,6 @@ <h3 class="accordion-header" id="headingInstructor2">  <div class="note-square">
 </div>
 </div>
 </section><section><h2 class="section-heading" id="using-masks-to-identify-a-specific-condition">Using masks to identify a specific condition<a class="anchor" aria-label="anchor" href="#using-masks-to-identify-a-specific-condition"></a>
-<a class="anchor" aria-label="anchor" href="#using-masks-to-identify-a-specific-condition"></a>
 </h2>
 <hr class="half-width">
 <p>A <strong>mask</strong> can be useful to locate where a particular
@@ -3463,8 +3422,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---putting-it-all-together" class="callout-inner">
-<h3 class="callout-title">Challenge - Putting it all together<a class="anchor" aria-label="anchor" href="#challenge---putting-it-all-together"></a>
-</h3>
+<h3 class="callout-title">Challenge - Putting it all together</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li>Create a new DataFrame that only contains observations with sex
@@ -3485,7 +3443,7 @@ <h3 class="callout-title">Challenge - Putting it all together<a class="anchor" a
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution4" aria-expanded="false" aria-controls="collapseSolution4">
   <h4 class="accordion-header" id="headingSolution4"> Show me the solution </h4>
 </button>
-<div id="collapseSolution4" class="accordion-collapse collapse" data-bs-parent="#accordionSolution4" aria-labelledby="headingSolution4">
+<div id="collapseSolution4" class="accordion-collapse collapse" aria-labelledby="headingSolution4" data-bs-parent="#accordionSolution4">
 <div class="accordion-body">
 <ol style="list-style-type: decimal">
 <li>
@@ -3532,7 +3490,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <button class="accordion-button instructor-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseInstructor3" aria-expanded="false" aria-controls="collapseInstructor3">
   <h3 class="accordion-header" id="headingInstructor3">  <div class="note-square"><i aria-hidden="true" class="callout-icon" data-feather="edit-2"></i></div> Instructor Note </h3>
 </button>
-<div id="collapseInstructor3" class="accordion-collapse collapse" data-bs-parent="#accordionInstructor3" aria-labelledby="headingInstructor3">
+<div id="collapseInstructor3" class="accordion-collapse collapse" aria-labelledby="headingInstructor3" data-bs-parent="#accordionInstructor3">
 <div class="accordion-body">
 <p>Referring to the challenge solution above, as we know the other
 values are all Nan values, we could also select all not null values:</p>
@@ -3560,8 +3518,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul>
 <li>In Python, portions of data can be accessed using indices, slices,
@@ -3627,7 +3584,6 @@ <h3 class="card-title">Objectives</h3>
 <p>In this lesson we will review ways to explore and better understand
 the structure and format of our data.</p>
 <section><h2 class="section-heading" id="types-of-data">Types of Data<a class="anchor" aria-label="anchor" href="#types-of-data"></a>
-<a class="anchor" aria-label="anchor" href="#types-of-data"></a>
 </h2>
 <hr class="half-width">
 <p>How information is stored in a DataFrame or a Python object affects
@@ -3635,7 +3591,6 @@ <h3 class="card-title">Objectives</h3>
 are two main types of data that we will explore in this lesson: numeric
 and text data types.</p>
 </section><section><h2 class="section-heading" id="numeric-data-types">Numeric Data Types<a class="anchor" aria-label="anchor" href="#numeric-data-types"></a>
-<a class="anchor" aria-label="anchor" href="#numeric-data-types"></a>
 </h2>
 <hr class="half-width">
 <p>Numeric data types include integers and floats. A <strong>floating
@@ -3653,7 +3608,6 @@ <h3 class="card-title">Objectives</h3>
 Allocating space ahead of time allows computers to optimize storage and
 processing efficiency.</p>
 </section><section><h2 class="section-heading" id="text-data-type">Text Data Type<a class="anchor" aria-label="anchor" href="#text-data-type"></a>
-<a class="anchor" aria-label="anchor" href="#text-data-type"></a>
 </h2>
 <hr class="half-width">
 <p>The text data type is known as a <em>string</em> in Python, or
@@ -3706,7 +3660,6 @@ <h3 class="card-title">Objectives</h3>
 </tr>
 </tbody>
 </table></section><section><h2 class="section-heading" id="checking-the-format-of-our-data">Checking the format of our data<a class="anchor" aria-label="anchor" href="#checking-the-format-of-our-data"></a>
-<a class="anchor" aria-label="anchor" href="#checking-the-format-of-our-data"></a>
 </h2>
 <hr class="half-width">
 <p>Now that we’re armed with a basic understanding of numeric and text
@@ -3788,7 +3741,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 it contains decimals. The <code>species_id</code> and <code>sex</code>
 columns are objects which means they contain strings.</p>
 </section><section><h2 class="section-heading" id="working-with-integers-and-floats">Working With Integers and Floats<a class="anchor" aria-label="anchor" href="#working-with-integers-and-floats"></a>
-<a class="anchor" aria-label="anchor" href="#working-with-integers-and-floats"></a>
 </h2>
 <hr class="half-width">
 <p>So we’ve learned that computers store numbers in one of two ways: as
@@ -3868,7 +3820,6 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <pre class="output" tabindex="0"><code><span><span class="fl">7.0</span></span></code></pre>
 </div>
 </section><section><h2 class="section-heading" id="working-with-our-survey-data">Working With Our Survey Data<a class="anchor" aria-label="anchor" href="#working-with-our-survey-data"></a>
-<a class="anchor" aria-label="anchor" href="#working-with-our-survey-data"></a>
 </h2>
 <hr class="half-width">
 <p>Getting back to our data, we can modify the format of values within
@@ -3891,8 +3842,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="changing-types" class="callout-inner">
-<h3 class="callout-title">Changing Types<a class="anchor" aria-label="anchor" href="#changing-types"></a>
-</h3>
+<h3 class="callout-title">Changing Types</h3>
 <div class="callout-content">
 <p>Try converting the column <code>plot_id</code> to floats using</p>
 <div class="codewrapper sourceCode" id="cb24">
@@ -3911,7 +3861,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
   <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
 </button>
-<div id="collapseSolution1" class="accordion-collapse collapse" aria-labelledby="headingSolution1" data-bs-parent="#accordionSolution1">
+<div id="collapseSolution1" class="accordion-collapse collapse" data-bs-parent="#accordionSolution1" aria-labelledby="headingSolution1">
 <div class="accordion-body">
 <div class="codewrapper sourceCode" id="cb25">
 <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -3950,7 +3900,6 @@ <h3 class="code-label">ERROR<i aria-hidden="true" data-feather="chevron-left"></
 </div>
 </div>
 </section><section><h2 class="section-heading" id="missing-data-values---nan">Missing Data Values - NaN<a class="anchor" aria-label="anchor" href="#missing-data-values---nan"></a>
-<a class="anchor" aria-label="anchor" href="#missing-data-values---nan"></a>
 </h2>
 <hr class="half-width">
 <p>What happened in the last challenge activity? Notice that this raises
@@ -4051,8 +4000,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="counting" class="callout-inner">
-<h3 class="callout-title">Counting<a class="anchor" aria-label="anchor" href="#counting"></a>
-</h3>
+<h3 class="callout-title">Counting</h3>
 <div class="callout-content">
 <p>Count the number of missing values per column.</p>
 </div>
@@ -4063,7 +4011,7 @@ <h3 class="callout-title">Counting<a class="anchor" aria-label="anchor" href="#c
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution3" aria-expanded="false" aria-controls="collapseSolution3">
   <h4 class="accordion-header" id="headingSolution3"> Hints </h4>
 </button>
-<div id="collapseSolution3" class="accordion-collapse collapse" aria-labelledby="headingSolution3" data-bs-parent="#accordionSolution3">
+<div id="collapseSolution3" class="accordion-collapse collapse" data-bs-parent="#accordionSolution3" aria-labelledby="headingSolution3">
 <div class="accordion-body">
 <p>The method <code>.count()</code> gives you the number of non-NaN
 observations per column. Try looking to the <code>.isna()</code>
@@ -4073,7 +4021,7 @@ <h4 class="accordion-header" id="headingSolution3"> Hints </h4>
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution2" aria-expanded="false" aria-controls="collapseSolution2">
   <h4 class="accordion-header" id="headingSolution2"> Show me the solution </h4>
 </button>
-<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
+<div id="collapseSolution2" class="accordion-collapse collapse" data-bs-parent="#accordionSolution2" aria-labelledby="headingSolution2">
 <div class="accordion-body">
 <div class="codewrapper sourceCode" id="cb36">
 <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -4114,7 +4062,6 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </section><section><h2 class="section-heading" id="writing-out-data-to-csv">Writing Out Data to CSV<a class="anchor" aria-label="anchor" href="#writing-out-data-to-csv"></a>
-<a class="anchor" aria-label="anchor" href="#writing-out-data-to-csv"></a>
 </h2>
 <hr class="half-width">
 <p>We’ve learned about manipulating data to get desired outputs. But
@@ -4160,7 +4107,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <button class="accordion-button instructor-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseInstructor1" aria-expanded="false" aria-controls="collapseInstructor1">
   <h3 class="accordion-header" id="headingInstructor1">  <div class="note-square"><i aria-hidden="true" class="callout-icon" data-feather="edit-2"></i></div> Processed Data Checkpoint </h3>
 </button>
-<div id="collapseInstructor1" class="accordion-collapse collapse" aria-labelledby="headingInstructor1" data-bs-parent="#accordionInstructor1">
+<div id="collapseInstructor1" class="accordion-collapse collapse" data-bs-parent="#accordionInstructor1" aria-labelledby="headingInstructor1">
 <div class="accordion-body">
 <p>If learners have trouble generating the output, or anything happens
 with that, the folder <a href="https://github.com/datacarpentry/python-ecology-lesson/tree/main/sample_output" class="external-link"><code>sample_output</code></a>
@@ -4171,7 +4118,6 @@ <h3 class="accordion-header" id="headingInstructor1">  <div class="note-square">
 </div>
 </div>
 </section><section><h2 class="section-heading" id="recap">Recap<a class="anchor" aria-label="anchor" href="#recap"></a>
-<a class="anchor" aria-label="anchor" href="#recap"></a>
 </h2>
 <hr class="half-width">
 <p>What we’ve learned:</p>
@@ -4189,8 +4135,7 @@ <h3 class="accordion-header" id="headingInstructor1">  <div class="note-square">
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul>
 <li>pandas uses other names for data types than Python, for example:
@@ -4315,7 +4260,6 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 about all of the <code>read_csv</code> options here and their
 defaults.</a></p>
 <section><h2 class="section-heading" id="concatenating-dataframes">Concatenating DataFrames<a class="anchor" aria-label="anchor" href="#concatenating-dataframes"></a>
-<a class="anchor" aria-label="anchor" href="#concatenating-dataframes"></a>
 </h2>
 <hr class="half-width">
 <p>We can use the <code>concat</code> function in pandas to append
@@ -4389,8 +4333,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---combine-data" class="callout-inner">
-<h3 class="callout-title">Challenge - Combine Data<a class="anchor" aria-label="anchor" href="#challenge---combine-data"></a>
-</h3>
+<h3 class="callout-title">Challenge - Combine Data</h3>
 <div class="callout-content">
 <p>In the data folder, there is another folder called
 <code>yearly_files</code> that contains survey data broken down into
@@ -4439,7 +4382,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </section><section><h2 class="section-heading" id="joining-dataframes">Joining DataFrames<a class="anchor" aria-label="anchor" href="#joining-dataframes"></a>
-<a class="anchor" aria-label="anchor" href="#joining-dataframes"></a>
 </h2>
 <hr class="half-width">
 <p>When we concatenated our DataFrames, we simply added them to each
@@ -4740,7 +4682,6 @@ <h3 id="other-join-types">Other join types<a class="anchor" aria-label="anchor"
 </ul>
 </div>
 </section><section><h2 class="section-heading" id="final-challenges">Final Challenges<a class="anchor" aria-label="anchor" href="#final-challenges"></a>
-<a class="anchor" aria-label="anchor" href="#final-challenges"></a>
 </h2>
 <hr class="half-width">
 <div id="challenge---distributions" class="callout challenge">
@@ -4748,8 +4689,7 @@ <h3 id="other-join-types">Other join types<a class="anchor" aria-label="anchor"
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---distributions" class="callout-inner">
-<h3 class="callout-title">Challenge - Distributions<a class="anchor" aria-label="anchor" href="#challenge---distributions"></a>
-</h3>
+<h3 class="callout-title">Challenge - Distributions</h3>
 <div class="callout-content">
 <p>Create a new DataFrame by joining the contents of the
 <code>surveys.csv</code> and <code>species.csv</code> tables. Then
@@ -4854,8 +4794,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---diversity-index" class="callout-inner">
-<h3 class="callout-title">Challenge - Diversity Index<a class="anchor" aria-label="anchor" href="#challenge---diversity-index"></a>
-</h3>
+<h3 class="callout-title">Challenge - Diversity Index</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li><p>In the data folder, there is a <code>plots.csv</code> file that
@@ -4918,8 +4857,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul>
 <li>Pandas’ <code>merge</code> and <code>concat</code> can be used to
@@ -4981,7 +4919,6 @@ <h3 class="card-title">Objectives</h3>
 though, comes from the ability to automate data processing through the
 use of loops and functions.</p>
 <section><h2 class="section-heading" id="for-loops">For loops<a class="anchor" aria-label="anchor" href="#for-loops"></a>
-<a class="anchor" aria-label="anchor" href="#for-loops"></a>
 </h2>
 <hr class="half-width">
 <p>Loops allow us to repeat a workflow (or series of actions) a given
@@ -5058,8 +4995,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---loops" class="callout-inner">
-<h3 class="callout-title">Challenge - Loops<a class="anchor" aria-label="anchor" href="#challenge---loops"></a>
-</h3>
+<h3 class="callout-title">Challenge - Loops</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li><p>What happens if we don’t include the <code>pass</code>
@@ -5127,7 +5063,6 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </section><section><h2 class="section-heading" id="automating-data-processing-using-for-loops">Automating data processing using For Loops<a class="anchor" aria-label="anchor" href="#automating-data-processing-using-for-loops"></a>
-<a class="anchor" aria-label="anchor" href="#automating-data-processing-using-for-loops"></a>
 </h2>
 <hr class="half-width">
 <p>The file we’ve been using so far, <code>surveys.csv</code>, contains
@@ -5287,7 +5222,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 couple of the files you just created to confirm that everything worked
 as expected.</p>
 </section><section><h2 class="section-heading" id="writing-unique-file-names">Writing Unique File Names<a class="anchor" aria-label="anchor" href="#writing-unique-file-names"></a>
-<a class="anchor" aria-label="anchor" href="#writing-unique-file-names"></a>
 </h2>
 <hr class="half-width">
 <p>Notice that the code above created a unique filename for each
@@ -5320,8 +5254,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---modifying-loops" class="callout-inner">
-<h3 class="callout-title">Challenge - Modifying loops<a class="anchor" aria-label="anchor" href="#challenge---modifying-loops"></a>
-</h3>
+<h3 class="callout-title">Challenge - Modifying loops</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li><p>Some of the surveys you saved are missing data (they have null
@@ -5382,7 +5315,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </section><section><h2 class="section-heading" id="building-reusable-and-modular-code-with-functions">Building reusable and modular code with functions<a class="anchor" aria-label="anchor" href="#building-reusable-and-modular-code-with-functions"></a>
-<a class="anchor" aria-label="anchor" href="#building-reusable-and-modular-code-with-functions"></a>
 </h2>
 <hr class="half-width">
 <p>Suppose that separating large data files into individual yearly files
@@ -5460,8 +5392,7 @@ <h3 class="accordion-header" id="headingInstructor1">  <div class="note-square">
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---functions" class="callout-inner">
-<h3 class="callout-title">Challenge - Functions<a class="anchor" aria-label="anchor" href="#challenge---functions"></a>
-</h3>
+<h3 class="callout-title">Challenge - Functions</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li>Change the values of the arguments provided to the function and
@@ -5722,8 +5653,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge-more-functions" class="callout-inner">
-<h3 class="callout-title">Challenge: More functions<a class="anchor" aria-label="anchor" href="#challenge-more-functions"></a>
-</h3>
+<h3 class="callout-title">Challenge: More functions</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li>Add two arguments to the functions we wrote that take the path of
@@ -5924,8 +5854,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---variables" class="callout-inner">
-<h3 class="callout-title">Challenge - Variables<a class="anchor" aria-label="anchor" href="#challenge---variables"></a>
-</h3>
+<h3 class="callout-title">Challenge - Variables</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li>What type of object corresponds to a variable declared as
@@ -6030,7 +5959,6 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </section><section><h2 class="section-heading" id="if-statements">If Statements<a class="anchor" aria-label="anchor" href="#if-statements"></a>
-<a class="anchor" aria-label="anchor" href="#if-statements"></a>
 </h2>
 <hr class="half-width">
 <p>The body of the test function now has two conditionals (if
@@ -6124,8 +6052,7 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---modifying-functions" class="callout-inner">
-<h3 class="callout-title">Challenge - Modifying functions<a class="anchor" aria-label="anchor" href="#challenge---modifying-functions"></a>
-</h3>
+<h3 class="callout-title">Challenge - Modifying functions</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li><p>Rewrite the <code>one_year_csv_writer</code> and
@@ -6316,8 +6243,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul>
 <li>Loops help automate repetitive tasks over sets of items.</li>
@@ -6375,7 +6301,6 @@ <h3 class="card-title">Objectives</h3>
 </div>
 </div>
 <section><h2 class="section-heading" id="disclaimer">Disclaimer<a class="anchor" aria-label="anchor" href="#disclaimer"></a>
-<a class="anchor" aria-label="anchor" href="#disclaimer"></a>
 </h2>
 <hr class="half-width">
 <p>Python has powerful built-in plotting capabilities such as
@@ -6390,8 +6315,7 @@ <h3 class="card-title">Objectives</h3>
 <i class="callout-icon" data-feather="bell"></i>
 </div>
 <div id="reminder" class="callout-inner">
-<h3 class="callout-title">Reminder<a class="anchor" aria-label="anchor" href="#reminder"></a>
-</h3>
+<h3 class="callout-title">Reminder</h3>
 <div class="callout-content">
 <p><code>plotnine</code> is not included in the standard Anaconda
 installation and needs to be installed separately. If you haven’t done
@@ -6438,7 +6362,6 @@ <h3 class="accordion-header" id="headingInstructor1">  <div class="note-square">
 </div>
 </div>
 </section><section><h2 class="section-heading" id="plotting-with-plotnine">Plotting with plotnine<a class="anchor" aria-label="anchor" href="#plotting-with-plotnine"></a>
-<a class="anchor" aria-label="anchor" href="#plotting-with-plotnine"></a>
 </h2>
 <hr class="half-width">
 <p>The <code>plotnine</code> package (cfr. other packages conform The
@@ -6533,8 +6456,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---bar-chart" class="callout-inner">
-<h3 class="callout-title">Challenge - bar chart<a class="anchor" aria-label="anchor" href="#challenge---bar-chart"></a>
-</h3>
+<h3 class="callout-title">Challenge - bar chart</h3>
 <div class="callout-content">
 <p>Working on the <code>surveys_complete</code> data set, use the
 <code>plot-id</code> column to create a <code>bar</code>-plot that
@@ -6573,7 +6495,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 independently of the aesthetics defined globally in the
 <code>ggplot()</code> function.</li>
 </ul></section><section><h2 class="section-heading" id="building-your-plots-iteratively">Building your plots iteratively<a class="anchor" aria-label="anchor" href="#building-your-plots-iteratively"></a>
-<a class="anchor" aria-label="anchor" href="#building-your-plots-iteratively"></a>
 </h2>
 <hr class="half-width">
 <p>Building plots with <code>plotnine</code> is typically an iterative
@@ -6673,8 +6594,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---bar-plot-adaptations" class="callout-inner">
-<h3 class="callout-title">Challenge - Bar plot adaptations<a class="anchor" aria-label="anchor" href="#challenge---bar-plot-adaptations"></a>
-</h3>
+<h3 class="callout-title">Challenge - Bar plot adaptations</h3>
 <div class="callout-content">
 <p>Adapt the bar plot of the previous exercise by mapping the
 <code>sex</code> variable to the color fill of the bar chart. Change the
@@ -6707,7 +6627,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </section><section><h2 class="section-heading" id="plotting-distributions">Plotting distributions<a class="anchor" aria-label="anchor" href="#plotting-distributions"></a>
-<a class="anchor" aria-label="anchor" href="#plotting-distributions"></a>
 </h2>
 <hr class="half-width">
 <p>Visualizing distributions is a common task during data exploration
@@ -6740,8 +6659,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---distributions" class="callout-inner">
-<h3 class="callout-title">Challenge - distributions<a class="anchor" aria-label="anchor" href="#challenge---distributions"></a>
-</h3>
+<h3 class="callout-title">Challenge - distributions</h3>
 <div class="callout-content">
 <p>Boxplots are useful summaries, but hide the <em>shape</em> of the
 distribution. For example, if there is a bimodal distribution, this
@@ -6793,7 +6711,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </section><section><h2 class="section-heading" id="plotting-time-series-data">Plotting time series data<a class="anchor" aria-label="anchor" href="#plotting-time-series-data"></a>
-<a class="anchor" aria-label="anchor" href="#plotting-time-series-data"></a>
 </h2>
 <hr class="half-width">
 <p>Let’s calculate the number of counts per year for each species. To do
@@ -6841,7 +6758,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <span id="cb23-6"><a href="#cb23-6" tabindex="-1"></a>)</span></code></pre>
 </div>
 <figure><img src="../fig/06_time_plot.png" alt="Line graph of count per year where data for each species is indicated by a different color" class="figure mx-auto d-block"></figure></section><section><h2 class="section-heading" id="faceting">Faceting<a class="anchor" aria-label="anchor" href="#faceting"></a>
-<a class="anchor" aria-label="anchor" href="#faceting"></a>
 </h2>
 <hr class="half-width">
 <p>As any other library supporting the Grammar of Graphics,
@@ -6913,8 +6829,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---facetting" class="callout-inner">
-<h3 class="callout-title">Challenge - facetting<a class="anchor" aria-label="anchor" href="#challenge---facetting"></a>
-</h3>
+<h3 class="callout-title">Challenge - facetting</h3>
 <div class="callout-content">
 <p>Create a separate plot for each of the species that depicts how the
 average weight of the species changes through the years.</p>
@@ -6946,8 +6861,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---facetting-1" class="callout-inner">
-<h3 class="callout-title">Challenge - facetting<a class="anchor" aria-label="anchor" href="#challenge---facetting-1"></a>
-</h3>
+<h3 class="callout-title">Challenge - facetting</h3>
 <div class="callout-content">
 <p>Based on the previous exercise, visually compare how the weights of
 male and females has changed through time by creating a separate plot
@@ -6981,7 +6895,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </section><section><h2 class="section-heading" id="further-customization">Further customization<a class="anchor" aria-label="anchor" href="#further-customization"></a>
-<a class="anchor" aria-label="anchor" href="#further-customization"></a>
 </h2>
 <hr class="half-width">
 <p>As the syntax of <code>plotnine</code> follows the original R package
@@ -7036,8 +6949,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="message-circle"></i>
 </div>
 <div id="challenge---customization" class="callout-inner">
-<h3 class="callout-title">Challenge - customization<a class="anchor" aria-label="anchor" href="#challenge---customization"></a>
-</h3>
+<h3 class="callout-title">Challenge - customization</h3>
 <div class="callout-content">
 <p>Please take another five minutes to either improve one of the plots
 generated in this exercise or create a beautiful graph of your own.</p>
@@ -7069,8 +6981,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul>
 <li>The <code>data</code>, <code>aes</code> variables and a
@@ -7120,7 +7031,6 @@ <h3 class="card-title">Objectives</h3>
 </div>
 </div>
 <section><h2 class="section-heading" id="putting-it-all-together">Putting it all together<a class="anchor" aria-label="anchor" href="#putting-it-all-together"></a>
-<a class="anchor" aria-label="anchor" href="#putting-it-all-together"></a>
 </h2>
 <hr class="half-width">
 <p>Up to this point, we have walked through tasks that are often
@@ -7133,7 +7043,6 @@ <h3 class="card-title">Objectives</h3>
 you’ve already gone through as well as the Python documentation to help
 you along.</p>
 </section><section><h2 class="section-heading" id="obtain-data">Obtain data<a class="anchor" aria-label="anchor" href="#obtain-data"></a>
-<a class="anchor" aria-label="anchor" href="#obtain-data"></a>
 </h2>
 <hr class="half-width">
 <p>There are many repositories online from which you can obtain data. We
@@ -7144,7 +7053,6 @@ <h3 class="card-title">Objectives</h3>
 Street (USGS gage06730200) for 1-30 September 2013. If you’d like to use
 this dataset, please find it in the data folder.</p>
 </section><section><h2 class="section-heading" id="clean-up-your-data-and-open-it-using-python-and-pandas">Clean up your data and open it using Python and Pandas<a class="anchor" aria-label="anchor" href="#clean-up-your-data-and-open-it-using-python-and-pandas"></a>
-<a class="anchor" aria-label="anchor" href="#clean-up-your-data-and-open-it-using-python-and-pandas"></a>
 </h2>
 <hr class="half-width">
 <p>To begin, import your data file into Python using Pandas. Did it
@@ -7200,7 +7108,6 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 1          200            20</code></pre>
 </div>
 </section><section><h2 class="section-heading" id="matplotlib-package">Matplotlib package<a class="anchor" aria-label="anchor" href="#matplotlib-package"></a>
-<a class="anchor" aria-label="anchor" href="#matplotlib-package"></a>
 </h2>
 <hr class="half-width">
 <p><a href="https://matplotlib.org/" class="external-link">Matplotlib</a> is a Python package
@@ -7231,8 +7138,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="bell"></i>
 </div>
 <div id="tip" class="callout-inner">
-<h3 class="callout-title">Tip<a class="anchor" aria-label="anchor" href="#tip"></a>
-</h3>
+<h3 class="callout-title">Tip</h3>
 <div class="callout-content">
 <p>By default, matplotlib creates a figure in a separate window. When
 using Jupyter notebooks, we can make figures appear in-line within the
@@ -7253,8 +7159,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="bell"></i>
 </div>
 <div id="tip-1" class="callout-inner">
-<h3 class="callout-title">Tip<a class="anchor" aria-label="anchor" href="#tip-1"></a>
-</h3>
+<h3 class="callout-title">Tip</h3>
 <div class="callout-content">
 <p>Matplotlib itself can be overwhelming, so a useful strategy is to do
 as much as you easily can in a convenience layer, <em>i.e.</em> start
@@ -7294,8 +7199,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="bell"></i>
 </div>
 <div id="tip-cross-platform-visualization-of-figures" class="callout-inner">
-<h3 class="callout-title">Tip: Cross-Platform Visualization of Figures<a class="anchor" aria-label="anchor" href="#tip-cross-platform-visualization-of-figures"></a>
-</h3>
+<h3 class="callout-title">Tip: Cross-Platform Visualization of Figures</h3>
 <div class="callout-content">
 <p>Jupyter Notebooks make many aspects of data analysis and
 visualization much simpler. This includes doing some of the labor of
@@ -7346,8 +7250,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="message-circle"></i>
 </div>
 <div id="challenge---drawing-from-distributions" class="callout-inner">
-<h3 class="callout-title">Challenge - Drawing from distributions<a class="anchor" aria-label="anchor" href="#challenge---drawing-from-distributions"></a>
-</h3>
+<h3 class="callout-title">Challenge - Drawing from distributions</h3>
 <div class="callout-content">
 <p>Have a look at <a href="https://docs.scipy.org/doc/numpy/reference/random/index.html" class="external-link"><code>numpy.random</code>
 documentation</a>. Choose a distribution you have no familiarity with,
@@ -7403,8 +7306,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="challenge---pandas-and-matplotlib" class="callout-inner">
-<h3 class="callout-title">Challenge - Pandas and matplotlib<a class="anchor" aria-label="anchor" href="#challenge---pandas-and-matplotlib"></a>
-</h3>
+<h3 class="callout-title">Challenge - Pandas and matplotlib</h3>
 <div class="callout-content">
 <p>Load the streamgage data set with Pandas, subset the week of the 2013
 Front Range flood (September 11 through 15) and create a hydrograph
@@ -7475,8 +7377,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
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 <div class="callout-content">
 <p>Matplotlib recognizes the extension used in the filename and supports
 (on most computers) png, pdf, ps, eps and svg formats.</p>
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 </div>
 <div id="challenge---saving-figure-to-file" class="callout-inner">
-<h3 class="callout-title">Challenge - Saving figure to file<a class="anchor" aria-label="anchor" href="#challenge---saving-figure-to-file"></a>
-</h3>
+<h3 class="callout-title">Challenge - Saving figure to file</h3>
 <div class="callout-content">
 <p>Check the documentation of the <code>savefig</code> method and check
 how you can comply to journals requiring figures as <code>pdf</code>
@@ -7517,7 +7417,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
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 </h2>
 <hr class="half-width">
 <p>Matplotlib can make many other types of plots in much the same way
@@ -7531,8 +7430,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
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 </div>
 <div id="challenge---final-plot" class="callout-inner">
-<h3 class="callout-title">Challenge - Final Plot<a class="anchor" aria-label="anchor" href="#challenge---final-plot"></a>
-</h3>
+<h3 class="callout-title">Challenge - Final Plot</h3>
 <div class="callout-content">
 <p>Display your data using one or more plot types from the example
 gallery. Which ones to choose will depend on the content of your own
@@ -7549,8 +7447,7 @@ <h3 class="callout-title">Challenge - Final Plot<a class="anchor" aria-label="an
 <i class="callout-icon" data-feather="key"></i>
 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul>
 <li>Matplotlib is the engine behind plotnine and Pandas plots.</li>
@@ -7603,7 +7500,6 @@ <h3 class="card-title">Objectives</h3>
 </div>
 </div>
 <section><h2 class="section-heading" id="python-and-sql">Python and SQL<a class="anchor" aria-label="anchor" href="#python-and-sql"></a>
-<a class="anchor" aria-label="anchor" href="#python-and-sql"></a>
 </h2>
 <hr class="half-width">
 <p>When you open a CSV in python, and assign it to a variable name, you
@@ -7673,7 +7569,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 </div>
 </div>
 </section><section><h2 class="section-heading" id="accessing-data-stored-in-sqlite-using-python-and-pandas">Accessing data stored in SQLite using Python and Pandas<a class="anchor" aria-label="anchor" href="#accessing-data-stored-in-sqlite-using-python-and-pandas"></a>
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 </h2>
 <hr class="half-width">
 <p>Using pandas, we can import results of a SQLite query into a
@@ -7696,7 +7591,6 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
 <span id="cb3-11"><a href="#cb3-11" tabindex="-1"></a>con.close()</span></code></pre>
 </div>
 </section><section><h2 class="section-heading" id="storing-data-csv-vs-sqlite">Storing data: CSV vs SQLite<a class="anchor" aria-label="anchor" href="#storing-data-csv-vs-sqlite"></a>
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 </h2>
 <hr class="half-width">
 <p>Storing your data in an SQLite database can provide substantial
@@ -7709,8 +7603,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
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 </div>
 <div id="challenge---sql" class="callout-inner">
-<h3 class="callout-title">Challenge - SQL<a class="anchor" aria-label="anchor" href="#challenge---sql"></a>
-</h3>
+<h3 class="callout-title">Challenge - SQL</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li>Create a query that contains survey data collected between 1998 -
@@ -7729,7 +7622,7 @@ <h3 class="callout-title">Challenge - SQL<a class="anchor" aria-label="anchor" h
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 <div class="accordion-body">
 <ol style="list-style-type: decimal">
 <li>
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 </div>
 </section><section><h2 class="section-heading" id="storing-data-create-new-tables-using-pandas">Storing data: Create new tables using Pandas<a class="anchor" aria-label="anchor" href="#storing-data-create-new-tables-using-pandas"></a>
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 </h2>
 <hr class="half-width">
 <p>We can also use pandas to create new tables within an SQLite
@@ -7844,8 +7736,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
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 </div>
 <div id="challenge---saving-your-work" class="callout-inner">
-<h3 class="callout-title">Challenge - Saving your work<a class="anchor" aria-label="anchor" href="#challenge---saving-your-work"></a>
-</h3>
+<h3 class="callout-title">Challenge - Saving your work</h3>
 <div class="callout-content">
 <ol style="list-style-type: decimal">
 <li><p>For each of the challenges in the previous challenge block,
@@ -7863,7 +7754,7 @@ <h3 class="callout-title">Challenge - Saving your work<a class="anchor" aria-lab
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution2" aria-expanded="false" aria-controls="collapseSolution2">
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 </button>
-<div id="collapseSolution2" class="accordion-collapse collapse" data-bs-parent="#accordionSolution2" aria-labelledby="headingSolution2">
+<div id="collapseSolution2" class="accordion-collapse collapse" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
 <div class="accordion-body">
 <ol style="list-style-type: decimal">
 <li><div class="codewrapper sourceCode" id="cb9">
@@ -7908,8 +7799,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
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 </div>
 <div class="callout-inner">
-<h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="#keypoints1"></a>
-</h3>
+<h3 class="callout-title">Key Points</h3>
 <div class="callout-content">
 <ul>
 <li>sqlite3 provides a SQL-like interface to read, query, and write SQL
@@ -7947,7 +7837,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
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         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
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+        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.6" class="external-link">sandpaper (0.16.6)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.4" class="external-link">varnish (1.0.4)</a></p>
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@@ -7970,8 +7860,8 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
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diff --git a/instructor/discuss.html b/instructor/discuss.html
index b72e5a398..a2ec7c4b3 100644
--- a/instructor/discuss.html
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@@ -287,10 +287,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
                     RESOURCES
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                 </div>
               </div>
             </div>
-            <hr class="half-width resources"><a href="../instructor/aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="../instructor/aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
@@ -393,7 +393,7 @@ <h1>Discussion</h1>
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         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
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+        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.6" class="external-link">sandpaper (0.16.6)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.4" class="external-link">varnish (1.0.4)</a></p>
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 	<div id="to-top">
@@ -416,7 +416,7 @@ <h1>Discussion</h1>
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diff --git a/instructor/extra_challenges.html b/instructor/extra_challenges.html
index 2ba609096..8c1678370 100644
--- a/instructor/extra_challenges.html
+++ b/instructor/extra_challenges.html
@@ -287,10 +287,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
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                 <h2 class="accordion-header" id="flush-headingTwelve">
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-            <hr class="half-width resources"><a href="../instructor/aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="../instructor/aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
@@ -357,17 +357,14 @@ <h1>Extra Challenges</h1>
 
 <p>A collection of challenges that have been either removed from or not
 (yet) added to the main lesson.</p>
-<section><h2 class="section-heading" id="loops-and-functions">06-loops-and-functions<a class="anchor" aria-label="anchor" href="#loops-and-functions"></a>
-<a class="anchor" aria-label="anchor" href="#loops-and-functions"></a></h2>
-<hr class="half-width"></section><section><h2 class="section-heading" id="index-slice-subset">03-index-slice-subset<a class="anchor" aria-label="anchor" href="#index-slice-subset"></a>
-<a class="anchor" aria-label="anchor" href="#index-slice-subset"></a></h2>
+<section><h2 class="section-heading" id="loops-and-functions">06-loops-and-functions<a class="anchor" aria-label="anchor" href="#loops-and-functions"></a></h2>
+<hr class="half-width"></section><section><h2 class="section-heading" id="index-slice-subset">03-index-slice-subset<a class="anchor" aria-label="anchor" href="#index-slice-subset"></a></h2>
 <hr class="half-width"><div id="additional-slicing-challenge" class="callout challenge">
 <div class="callout-square">
 <i class="callout-icon" data-feather="zap"></i>
 </div>
 <div id="additional-slicing-challenge" class="callout-inner">
-<h3 class="callout-title">Additional slicing challenge<a class="anchor" aria-label="anchor" href="#additional-slicing-challenge"></a>
-</h3>
+<h3 class="callout-title">Additional slicing challenge</h3>
 <div class="callout-content">
 <p>You can also select every Nth row by providing a third number inside
 the <code>[]</code>, e.g. <code>surveys_df[1:10:2]</code> returns every
@@ -406,8 +403,7 @@ <h4 class="accordion-header" id="headingSolution1"> Show me the solution </h4>
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 <div id="looping-over-dataframe" class="callout-inner">
-<h3 class="callout-title">Looping Over DataFrame<a class="anchor" aria-label="anchor" href="#looping-over-dataframe"></a>
-</h3>
+<h3 class="callout-title">Looping Over DataFrame</h3>
 <div class="callout-content">
 <p>The file <code>surveys.csv</code> in the <code>data</code> folder
 contains 25 years of data from surveys, starting from 1977. We can
@@ -489,7 +485,7 @@ <h4 class="accordion-header" id="headingSolution2"> Show me the solution </h4>
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         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
-        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.5" class="external-link">sandpaper (0.16.5)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.3" class="external-link">varnish (1.0.3)</a></p>
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diff --git a/instructor/images.html b/instructor/images.html
index a380628b8..4304f8971 100644
--- a/instructor/images.html
+++ b/instructor/images.html
@@ -361,10 +361,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
             </div>
 
             <hr class="half-width">
-<div class="accordion accordion-flush resources" id="accordionFlush12">
+<div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
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@@ -391,7 +391,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
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-            <hr class="half-width resources">
+            <hr class="half-width lesson-resources">
 <a href="../instructor/aio.html">See all in one page</a>
 
 
@@ -580,7 +580,7 @@ <h3 id="08-putting-it-all-together-figure-6">Figure 6</h3>
         <p>Materials licensed under <a href="LICENSE.html">CC-BY 4.0</a> by the authors</p>
 
         <p>Template licensed under <a href="https://creativecommons.org/licenses/by-sa/4.0/" class="external-link">CC-BY 4.0</a> by <a href="https://carpentries.org/" class="external-link">The Carpentries</a></p>
-        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.5" class="external-link">sandpaper (0.16.5)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.3" class="external-link">varnish (1.0.3)</a></p>
+        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.6" class="external-link">sandpaper (0.16.6)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.4" class="external-link">varnish (1.0.4)</a></p>
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@@ -603,8 +603,8 @@ <h3 id="08-putting-it-all-together-figure-6">Figure 6</h3>
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   "dateCreated": "2015-03-19",
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 }
 
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diff --git a/instructor/index.html b/instructor/index.html
index 1390366ac..afa9497b1 100644
--- a/instructor/index.html
+++ b/instructor/index.html
@@ -291,10 +291,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
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-            <hr class="half-width resources"><a href="../instructor/aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="../instructor/aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
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 </div>
 <div id="getting-started" class="callout-inner">
-<h3 class="callout-title">Getting Started<a class="anchor" aria-label="anchor" href="#getting-started"></a>
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+<h3 class="callout-title">Getting Started</h3>
 <div class="callout-content">
 <p>Data Carpentry’s teaching is hands-on, so participants are encouraged
 to use their own computers to ensure the proper setup of tools for an
@@ -376,8 +375,7 @@ <h4 id="prerequisites">Prerequisites<a class="anchor" aria-label="anchor" href="
 <i class="callout-icon" data-feather="check"></i>
 </div>
 <div id="for-instructors" class="callout-inner">
-<h3 class="callout-title">For Instructors<a class="anchor" aria-label="anchor" href="#for-instructors"></a>
-</h3>
+<h3 class="callout-title">For Instructors</h3>
 <div class="callout-content">
 <p>If you are teaching this lesson in a workshop, please see the <a href="instructor-notes.html">Instructor notes</a>.</p>
 </div>
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 <div id="data" class="callout-inner">
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-</h3>
+<h3 class="callout-title">Data</h3>
 <div class="callout-content">
 <p>Data for this lesson is from the <a href="https://figshare.com/articles/Portal_Project_Teaching_Database/1314459" class="external-link">Portal
 Project Teaching Database</a>. Specifically, we use the following eight
@@ -531,8 +528,7 @@ <h3 class="callout-title">Data<a class="anchor" aria-label="anchor" href="#data"
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 </div>
 <div id="installing-python-using-anaconda" class="callout-inner">
-<h3 class="callout-title">Installing Python using Anaconda<a class="anchor" aria-label="anchor" href="#installing-python-using-anaconda"></a>
-</h3>
+<h3 class="callout-title">Installing Python using Anaconda</h3>
 <div class="callout-content">
 <p><a href="https://www.python.org/" class="external-link">Python</a> is a popular language
 for scientific computing, and great for general-purpose programming as
@@ -550,8 +546,7 @@ <h3 class="callout-title">Installing Python using Anaconda<a class="anchor" aria
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 <div id="installing-anaconda" class="callout-inner">
-<h3 class="callout-title">Installing Anaconda<a class="anchor" aria-label="anchor" href="#installing-anaconda"></a>
-</h3>
+<h3 class="callout-title">Installing Anaconda</h3>
 <div class="callout-content">
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@@ -663,8 +658,7 @@ <h3 class="code-label">BASH<i aria-hidden="true" data-feather="chevron-left"></i
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-<a class="anchor" aria-label="anchor" href="#required-python-packages"></a></h2>
+<section><h2 class="section-heading" id="required-python-packages">Required Python Packages<a class="anchor" aria-label="anchor" href="#required-python-packages"></a></h2>
 <hr class="half-width"><p>The following are packages needed for this workshop:</p>
 <ul><li><a href="https://pandas.pydata.org/" class="external-link">Pandas</a></li>
 <li><a href="https://jupyter.org/" class="external-link">Jupyter notebook</a></li>
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 </div>
 <p>This will then install the latest version of plotnine into your conda
 environment.</p>
-</section><section><h2 class="section-heading" id="required-packages-miniconda">Required packages: Miniconda<a class="anchor" aria-label="anchor" href="#required-packages-miniconda"></a>
-<a class="anchor" aria-label="anchor" href="#required-packages-miniconda"></a></h2>
+</section><section><h2 class="section-heading" id="required-packages-miniconda">Required packages: Miniconda<a class="anchor" aria-label="anchor" href="#required-packages-miniconda"></a></h2>
 <hr class="half-width"><p>Miniconda is a lightweight version of Anaconda. If you install
 Miniconda instead of Anaconda, you need to install required packages
 manually in the following way:</p>
@@ -720,8 +713,7 @@ <h3 class="code-label">BASH<i aria-hidden="true" data-feather="chevron-left"></i
 <pre class="sourceCode bash" tabindex="0"><code class="sourceCode bash"><span id="cb8-1"><a href="#cb8-1" tabindex="-1"></a><span class="ex">conda</span> deactivate</span></code></pre>
 </div>
 </div>
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-<a class="anchor" aria-label="anchor" href="#launch-a-jupyter-notebook"></a></h2>
+</section><section><h2 class="section-heading" id="launch-a-jupyter-notebook">Launch a Jupyter notebook<a class="anchor" aria-label="anchor" href="#launch-a-jupyter-notebook"></a></h2>
 <hr class="half-width"><p>After installing either Anaconda or Miniconda and the workshop
 packages, launch a Jupyter notebook by typing this command into the
 <em>terminal</em> or <em>anaconda-prompt</em>:</p>
@@ -738,8 +730,7 @@ <h3 class="code-label">BASH<i aria-hidden="true" data-feather="chevron-left"></i
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+open</h3>
 <div class="callout-content">
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 the window used to launch it. Closing that window will results in web
@@ -779,7 +770,7 @@ <h3 class="callout-title">Leave terminal used to launch Jupyter
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 }
 
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diff --git a/instructor/instructor-notes.html b/instructor/instructor-notes.html
index a6426958a..7738ed48e 100644
--- a/instructor/instructor-notes.html
+++ b/instructor/instructor-notes.html
@@ -361,10 +361,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
             </div>
 
             <hr class="half-width">
-<div class="accordion accordion-flush resources" id="accordionFlush12">
+<div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
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-            <hr class="half-width resources">
+            <hr class="half-width lesson-resources">
 <a href="../instructor/aio.html">See all in one page</a>
 
 
@@ -417,14 +417,12 @@ <h1>Instructor Notes</h1>
         
 
 <section><h2 class="section-heading" id="install-the-required-workshop-packages">Install the required workshop packages<a class="anchor" aria-label="anchor" href="#install-the-required-workshop-packages"></a>
-<a class="anchor" aria-label="anchor" href="#install-the-required-workshop-packages"></a>
 </h2>
 <hr class="half-width">
 <p>Please use the instructions in the <a href="index.html#setup">Setup</a>
 document to perform installs. If you encounter setup issues, please file
 an issue with the tags ‘High-priority’.</p>
-</section><section><h2 class="section-heading" id="checking-installations-">Checking installations.<a class="anchor" aria-label="anchor" href="#checking-installations."></a>
-<a class="anchor" aria-label="anchor" href="#checking-installations-"></a>
+</section><section><h2 class="section-heading" id="checking-installations-">Checking installations.<a class="anchor" aria-label="anchor" href="#checking-installations-"></a>
 </h2>
 <hr class="half-width">
 <p>In the <a href="../files/scripts/check_env.py"><code>episodes/files/scripts/check_env.py</code></a>
@@ -445,13 +443,11 @@ <h3 class="code-label">BASH<i aria-hidden="true" data-feather="chevron-left"></i
 you how to help them correct this installation. Otherwise, it will tell
 you that the system is good to go and ready for Data Carpentry!</p>
 </section><section><h2 class="section-heading" id="visualization-ggplot-python">07-visualization-ggplot-python<a class="anchor" aria-label="anchor" href="#visualization-ggplot-python"></a>
-<a class="anchor" aria-label="anchor" href="#visualization-ggplot-python"></a>
 </h2>
 <hr class="half-width">
 <p>iPython notebooks for plotting can be viewed in the
 <code>learners</code> folder.</p>
 </section><section><h2 class="section-heading" id="putting-it-all-together">08-putting-it-all-together<a class="anchor" aria-label="anchor" href="#putting-it-all-together"></a>
-<a class="anchor" aria-label="anchor" href="#putting-it-all-together"></a>
 </h2>
 <hr class="half-width">
 <p>Answers are embedded with challenges in this lesson, other than
@@ -679,7 +675,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
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 		</footer>
 </div> <!-- / div.container -->
@@ -702,8 +698,8 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
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 }
 
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diff --git a/instructor/jupyter_notebooks.html b/instructor/jupyter_notebooks.html
index 986e2f8fb..3c4afb3fa 100644
--- a/instructor/jupyter_notebooks.html
+++ b/instructor/jupyter_notebooks.html
@@ -287,10 +287,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
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               </div>
             </div>
-            <hr class="half-width resources"><a href="../instructor/aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="../instructor/aio.html">See all in one page</a>
 
 
             <hr class="d-none d-sm-block d-md-none"><div class="d-grid gap-1">
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diff --git a/instructor/key-points.html b/instructor/key-points.html
index 8bdf68d56..80ccf5b28 100644
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             </div>
 
             <hr class="half-width">
-<div class="accordion accordion-flush resources" id="accordionFlush12">
+<div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
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@@ -391,7 +391,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
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-            <hr class="half-width resources">
+            <hr class="half-width lesson-resources">
 <a href="../instructor/aio.html">See all in one page</a>
 
 
@@ -539,7 +539,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
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+        <p>Built with <a href="https://github.com/carpentries/sandpaper/tree/0.16.6" class="external-link">sandpaper (0.16.6)</a>, <a href="https://github.com/carpentries/pegboard/tree/0.7.6" class="external-link">pegboard (0.7.6)</a>, and <a href="https://github.com/carpentries/varnish/tree/1.0.4" class="external-link">varnish (1.0.4)</a></p>
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@@ -562,8 +562,8 @@ <h2 class="accordion-header" id="flush-headingTwelve">
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diff --git a/instructor/profiles.html b/instructor/profiles.html
index b50f6d53a..af363f5a3 100644
--- a/instructor/profiles.html
+++ b/instructor/profiles.html
@@ -287,10 +287,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
-                  <button class="accordion-button collapsed" id="resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
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               </div>
             </div>
-            <hr class="half-width resources"><a href="../instructor/aio.html">See all in one page</a>
+            <hr class="half-width lesson-resources"><a href="../instructor/aio.html">See all in one page</a>
 
 
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 	<div id="to-top">
@@ -372,8 +372,8 @@ <h1>Learner Profiles</h1>
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 }
 
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diff --git a/instructor/reference.html b/instructor/reference.html
index abb8f8aa0..d2d754a4f 100644
--- a/instructor/reference.html
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@@ -287,10 +287,10 @@ <h2 class="accordion-header chapters" id="flush-headingEleven">
               </div>
             </div>
 
-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
               <div class="accordion-item">
                 <h2 class="accordion-header" id="flush-headingTwelve">
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+                  <button class="accordion-button collapsed" id="lesson-resources" type="button" data-bs-toggle="collapse" data-bs-target="#flush-collapseTwelve" aria-expanded="false" aria-controls="flush-collapseTwelve">
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-            <hr class="half-width resources"><a href="../instructor/aio.html">See all in one page</a>
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 <hr class="half-width"><dl><dt><span id="based-indexing">0-based indexing</span></dt>
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-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
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-            <hr class="half-width"><div class="accordion accordion-flush resources" id="accordionFlush12">
+            <hr class="half-width"><div class="accordion accordion-flush lesson-resources" id="accordionFlush12">
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 <hr class="half-width"><dl><dt><span id="based-indexing">0-based indexing</span></dt>
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