diff --git a/00-before-we-start.html b/00-before-we-start.html
index fbcfade8e..1f34989e8 100644
--- a/00-before-we-start.html
+++ b/00-before-we-start.html
@@ -664,7 +664,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
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   "dateCreated": "2015-03-19",
   "dateModified": "2024-02-21",
-  "datePublished": "2024-02-23"
+  "datePublished": "2024-02-26"
 }
 
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diff --git a/01-short-introduction-to-Python.html b/01-short-introduction-to-Python.html
index 1e618c9f8..0123693bf 100644
--- a/01-short-introduction-to-Python.html
+++ b/01-short-introduction-to-Python.html
@@ -1011,7 +1011,7 @@ <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": "2024-02-23"
+  "datePublished": "2024-02-26"
 }
 
   </script><script>
diff --git a/02-starting-with-data.html b/02-starting-with-data.html
index 2a264705e..95f6dc6eb 100644
--- a/02-starting-with-data.html
+++ b/02-starting-with-data.html
@@ -695,7 +695,7 @@ <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">
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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>
 <code>surveys_df.columns</code> provides the names of the columns in
@@ -782,7 +782,7 @@ <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">
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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><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>
@@ -906,7 +906,7 @@ <h3 class="callout-title">Challenge - Summary Data<a class="anchor" aria-label="
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 </button>
-<div id="collapseSolution3" class="accordion-collapse collapse" 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>The first column of output from <code>grouped_data.describe()</code>
 (count) tells us that the data contains 15690 records for female
@@ -1005,7 +1005,7 @@ <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" 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">
 <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
@@ -1128,7 +1128,7 @@ <h3 class="callout-title">Challenge - Plots<a class="anchor" aria-label="anchor"
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 </button>
-<div id="collapseSolution5" class="accordion-collapse collapse" data-bs-parent="#accordionSolution5" aria-labelledby="headingSolution5">
+<div id="collapseSolution5" class="accordion-collapse collapse" aria-labelledby="headingSolution5" data-bs-parent="#accordionSolution5">
 <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>
@@ -1190,7 +1190,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
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-<div id="collapseSolution6" class="accordion-collapse collapse" data-bs-parent="#accordionSolution6" aria-labelledby="headingSolution6">
+<div id="collapseSolution6" class="accordion-collapse collapse" aria-labelledby="headingSolution6" data-bs-parent="#accordionSolution6">
 <div class="accordion-body">
 <p>First we group data by site and by sex, and then calculate a total
 for each site.</p>
@@ -1335,7 +1335,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
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   "dateCreated": "2015-03-19",
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diff --git a/03-index-slice-subset.html b/03-index-slice-subset.html
index c96a64a89..90c3ce5ff 100644
--- a/03-index-slice-subset.html
+++ b/03-index-slice-subset.html
@@ -303,7 +303,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Indexing, Slicing and Subsetting DataFrames in Python</h1>
-        <p>Last updated on 2024-02-21 |
+        <p>Last updated on 2024-02-26 |
         
         <a href="https://github.com/datacarpentry/python-ecology-lesson/edit/main/episodes/03-index-slice-subset.md" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
         
@@ -744,15 +744,16 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 integers). However, unlike <code>loc</code> or <code>iloc</code>,
 indexing a data frame directly with labels will select columns (e.g.
 <code>surveys_df[['species_id', 'plot_id', 'weight']]</code>), while
-ranges of integers will select rows (e.g. surveys_df[0:13]). Direct
-indexing of rows is redundant with using <code>iloc</code>, and will
-raise a <code>KeyError</code> if a single integer or list is used; the
-error will also occur if index labels are used without <code>loc</code>
-(or column labels used with it). A useful rule of thumb is the
-following: integer-based slicing is best done with <code>iloc</code> and
-will avoid errors (and is generally consistent with indexing of Numpy
-arrays), label-based slicing of rows is done with <code>loc</code>, and
-slicing of columns by directly indexing column names.</p>
+ranges of integers will select rows
+(e.g. <code>surveys\_df[0:13]</code>). Direct indexing of rows is
+redundant with using <code>iloc</code>, and will raise a
+<code>KeyError</code> if a single integer or list is used; the error
+will also occur if index labels are used without <code>loc</code> (or
+column labels used with it). A useful rule of thumb is the following:
+integer-based slicing is best done with <code>iloc</code> and will avoid
+errors (and is generally consistent with indexing of Numpy arrays),
+label-based slicing of rows is done with <code>loc</code>, and slicing
+of columns by directly indexing column names.</p>
 <div id="challenge---range" class="callout challenge">
 <div class="callout-square">
 <i class="callout-icon" data-feather="zap"></i>
@@ -1248,8 +1249,8 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
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   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/03-index-slice-subset.html",
   "dateCreated": "2015-03-19",
-  "dateModified": "2024-02-21",
-  "datePublished": "2024-02-23"
+  "dateModified": "2024-02-26",
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 }
 
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diff --git a/04-data-types-and-format.html b/04-data-types-and-format.html
index 97a5e2570..29706ab04 100644
--- a/04-data-types-and-format.html
+++ b/04-data-types-and-format.html
@@ -937,7 +937,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
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   "dateCreated": "2015-03-19",
   "dateModified": "2023-06-05",
-  "datePublished": "2024-02-23"
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 }
 
   </script><script>
diff --git a/05-merging-data.html b/05-merging-data.html
index b39ccf93a..218d02884 100644
--- a/05-merging-data.html
+++ b/05-merging-data.html
@@ -1015,7 +1015,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
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   "dateCreated": "2015-03-19",
   "dateModified": "2024-02-21",
-  "datePublished": "2024-02-23"
+  "datePublished": "2024-02-26"
 }
 
   </script><script>
diff --git a/06-loops-and-functions.html b/06-loops-and-functions.html
index e5b09cdcf..7884d1e93 100644
--- a/06-loops-and-functions.html
+++ b/06-loops-and-functions.html
@@ -435,7 +435,7 @@ <h3 class="callout-title">Challenge - Loops<a class="anchor" aria-label="anchor"
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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="cb9">
@@ -691,7 +691,7 @@ <h3 class="callout-title">Challenge - Modifying loops<a class="anchor" aria-labe
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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">
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 <ol style="list-style-type: decimal"><li><div class="codewrapper sourceCode" id="cb27">
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@@ -813,7 +813,7 @@ <h3 class="callout-title">Challenge - Functions<a class="anchor" aria-label="anc
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution3" aria-expanded="false" aria-controls="collapseSolution3">
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 </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>
 <p>For example, using an integer and a string:</p>
@@ -1078,7 +1078,7 @@ <h3 class="callout-title">Challenge: More functions<a class="anchor" aria-label=
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution4" aria-expanded="false" aria-controls="collapseSolution4">
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 </button>
-<div id="collapseSolution4" class="accordion-collapse collapse" data-bs-parent="#accordionSolution4" aria-labelledby="headingSolution4">
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@@ -1272,7 +1272,7 @@ <h3 class="callout-title">Challenge - Variables<a class="anchor" aria-label="anc
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 </button>
-<div id="collapseSolution5" class="accordion-collapse collapse" data-bs-parent="#accordionSolution5" aria-labelledby="headingSolution5">
+<div id="collapseSolution5" class="accordion-collapse collapse" aria-labelledby="headingSolution5" data-bs-parent="#accordionSolution5">
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 <ol style="list-style-type: decimal"><li>
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@@ -1483,7 +1483,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
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 </button>
-<div id="collapseSolution6" class="accordion-collapse collapse" data-bs-parent="#accordionSolution6" aria-labelledby="headingSolution6">
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 <div class="accordion-body">
 <ol style="list-style-type: decimal"><li><div class="codewrapper sourceCode" id="cb75">
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@@ -1701,7 +1701,7 @@ <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": "2024-02-23"
+  "datePublished": "2024-02-26"
 }
 
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diff --git a/07-visualization-ggplot-python.html b/07-visualization-ggplot-python.html
index b3f63142e..96f0b9c6b 100644
--- a/07-visualization-ggplot-python.html
+++ b/07-visualization-ggplot-python.html
@@ -1042,7 +1042,7 @@ <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": "2024-02-21",
-  "datePublished": "2024-02-23"
+  "datePublished": "2024-02-26"
 }
 
   </script><script>
diff --git a/08-putting-it-all-together.html b/08-putting-it-all-together.html
index 5456b4b09..27a51cea4 100644
--- a/08-putting-it-all-together.html
+++ b/08-putting-it-all-together.html
@@ -627,7 +627,7 @@ <h3 class="callout-title">Challenge - Pandas and matplotlib<a class="anchor" ari
 <button class="accordion-button solution-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseSolution1" aria-expanded="false" aria-controls="collapseSolution1">
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 </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">
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 <div class="codewrapper sourceCode" id="cb13">
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@@ -705,7 +705,7 @@ <h3 class="callout-title">Challenge - Saving figure to file<a class="anchor" ari
 <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" aria-labelledby="headingSolution2" data-bs-parent="#accordionSolution2">
+<div id="collapseSolution2" class="accordion-collapse collapse" data-bs-parent="#accordionSolution2" aria-labelledby="headingSolution2">
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 <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -817,7 +817,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
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   "dateCreated": "2015-03-19",
   "dateModified": "2024-01-31",
-  "datePublished": "2024-02-23"
+  "datePublished": "2024-02-26"
 }
 
   </script><script>
diff --git a/09-working-with-sql.html b/09-working-with-sql.html
index c8d382811..b8ea60d9c 100644
--- a/09-working-with-sql.html
+++ b/09-working-with-sql.html
@@ -697,7 +697,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
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   "dateCreated": "2015-03-19",
   "dateModified": "2023-05-18",
-  "datePublished": "2024-02-23"
+  "datePublished": "2024-02-26"
 }
 
   </script><script>
diff --git a/404.html b/404.html
index 4b2885376..a51dd9328 100644
--- a/404.html
+++ b/404.html
@@ -354,8 +354,8 @@ <h1>Page not found</h1>
   "url": "https://datacarpentry.github.io/python-ecology-lesson/404.html",
   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/404.html",
   "dateCreated": "2015-03-19",
-  "dateModified": "2024-02-23",
-  "datePublished": "2024-02-23"
+  "dateModified": "2024-02-26",
+  "datePublished": "2024-02-26"
 }
 
   </script><script>
diff --git a/CODE_OF_CONDUCT.html b/CODE_OF_CONDUCT.html
index e9aa46e3e..1a6ae7651 100644
--- a/CODE_OF_CONDUCT.html
+++ b/CODE_OF_CONDUCT.html
@@ -364,7 +364,7 @@ <h1>Contributor Code of Conduct</h1>
   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/CODE_OF_CONDUCT.html",
   "dateCreated": "2015-03-19",
   "dateModified": "2023-05-08",
-  "datePublished": "2024-02-23"
+  "datePublished": "2024-02-26"
 }
 
   </script><script>
diff --git a/CONTRIBUTORS.html b/CONTRIBUTORS.html
index 9bbec1a5e..d002b4cbd 100644
--- a/CONTRIBUTORS.html
+++ b/CONTRIBUTORS.html
@@ -399,7 +399,7 @@ <h1>About Contributors</h1>
   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/CONTRIBUTORS.html",
   "dateCreated": "2015-03-19",
   "dateModified": "2023-05-08",
-  "datePublished": "2024-02-23"
+  "datePublished": "2024-02-26"
 }
 
   </script><script>
diff --git a/LICENSE.html b/LICENSE.html
index 91ba41e1d..224d4ee71 100644
--- a/LICENSE.html
+++ b/LICENSE.html
@@ -415,7 +415,7 @@ <h1>Licenses</h1>
   "identifier": "https://datacarpentry.github.io/python-ecology-lesson/LICENSE.html",
   "dateCreated": "2015-03-19",
   "dateModified": "2023-05-08",
-  "datePublished": "2024-02-23"
+  "datePublished": "2024-02-26"
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diff --git a/aio.html b/aio.html
index 6c3e49788..47b9a22ef 100644
--- a/aio.html
+++ b/aio.html
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 <div class="accordion-body">
 <p>As well as calling <code>count()</code> on the <code>record_id</code>
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 <li><code>surveys_df.groupby('plot_id').mean()["weight"].plot(kind='bar')</code></li>
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 <div class="accordion-body">
 <p>First we group data by site and by sex, and then calculate a total
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 <hr>
-<p>Last updated on 2024-02-21 |
+<p>Last updated on 2024-02-26 |
         
         <a href="https://github.com/datacarpentry/python-ecology-lesson/edit/main/episodes/03-index-slice-subset.md" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 <div class="text-end">
@@ -2881,15 +2881,16 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 integers). However, unlike <code>loc</code> or <code>iloc</code>,
 indexing a data frame directly with labels will select columns (e.g.
 <code>surveys_df[['species_id', 'plot_id', 'weight']]</code>), while
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-will avoid errors (and is generally consistent with indexing of Numpy
-arrays), label-based slicing of rows is done with <code>loc</code>, and
-slicing of columns by directly indexing column names.</p>
+ranges of integers will select rows
+(e.g. <code>surveys\_df[0:13]</code>). Direct indexing of rows is
+redundant with using <code>iloc</code>, and will raise a
+<code>KeyError</code> if a single integer or list is used; the error
+will also occur if index labels are used without <code>loc</code> (or
+column labels used with it). A useful rule of thumb is the following:
+integer-based slicing is best done with <code>iloc</code> and will avoid
+errors (and is generally consistent with indexing of Numpy arrays),
+label-based slicing of rows is done with <code>loc</code>, and slicing
+of columns by directly indexing column names.</p>
 <div id="challenge---range" class="callout challenge">
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index fe260f257..84fe878a4 100644
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+++ b/instructor/01-short-introduction-to-Python.html
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index 175e017e7..812f84bbc 100644
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+++ b/instructor/02-starting-with-data.html
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 <ol style="list-style-type: decimal"><li>
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@@ -725,7 +725,7 @@ <h4 class="accordion-header" id="headingSolution1">Show me the solution</h4>
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 <p>Working through solutions to the challenge above can provide a good
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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>
 </ol><ul><li>How many unique sites are in the data? <code>site_names.size</code>
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 <p>In pandas prior to version 0.18.1 there is a bug causing
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@@ -945,7 +945,7 @@ <h3 class="callout-title">Challenge - Summary Data<a class="anchor" aria-label="
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 </button>
-<div id="collapseSolution3" class="accordion-collapse collapse" 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>The first column of output from <code>grouped_data.describe()</code>
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@@ -1044,7 +1044,7 @@ <h3 class="callout-title">Challenge - Make a list<a class="anchor" aria-label="a
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-<div id="collapseSolution4" class="accordion-collapse collapse" data-bs-parent="#accordionSolution4" aria-labelledby="headingSolution4">
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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
@@ -1167,7 +1167,7 @@ <h3 class="callout-title">Challenge - Plots<a class="anchor" aria-label="anchor"
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-<div id="collapseSolution5" class="accordion-collapse collapse" data-bs-parent="#accordionSolution5" aria-labelledby="headingSolution5">
+<div id="collapseSolution5" class="accordion-collapse collapse" aria-labelledby="headingSolution5" data-bs-parent="#accordionSolution5">
 <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>
@@ -1229,7 +1229,7 @@ <h3 class="code-label">PYTHON<i aria-hidden="true" data-feather="chevron-left"><
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+<div id="collapseSolution6" class="accordion-collapse collapse" aria-labelledby="headingSolution6" data-bs-parent="#accordionSolution6">
 <div class="accordion-body">
 <p>First we group data by site and by sex, and then calculate a total
 for each site.</p>
@@ -1374,7 +1374,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
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index d5f3a4625..f02fb804a 100644
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         <h1>Indexing, Slicing and Subsetting DataFrames in Python</h1>
-        <p>Last updated on 2024-02-21 |
+        <p>Last updated on 2024-02-26 |
         
         <a href="https://github.com/datacarpentry/python-ecology-lesson/edit/main/episodes/03-index-slice-subset.md" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
         
@@ -764,15 +764,16 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 integers). However, unlike <code>loc</code> or <code>iloc</code>,
 indexing a data frame directly with labels will select columns (e.g.
 <code>surveys_df[['species_id', 'plot_id', 'weight']]</code>), while
-ranges of integers will select rows (e.g. surveys_df[0:13]). Direct
-indexing of rows is redundant with using <code>iloc</code>, and will
-raise a <code>KeyError</code> if a single integer or list is used; the
-error will also occur if index labels are used without <code>loc</code>
-(or column labels used with it). A useful rule of thumb is the
-following: integer-based slicing is best done with <code>iloc</code> and
-will avoid errors (and is generally consistent with indexing of Numpy
-arrays), label-based slicing of rows is done with <code>loc</code>, and
-slicing of columns by directly indexing column names.</p>
+ranges of integers will select rows
+(e.g. <code>surveys\_df[0:13]</code>). Direct indexing of rows is
+redundant with using <code>iloc</code>, and will raise a
+<code>KeyError</code> if a single integer or list is used; the error
+will also occur if index labels are used without <code>loc</code> (or
+column labels used with it). A useful rule of thumb is the following:
+integer-based slicing is best done with <code>iloc</code> and will avoid
+errors (and is generally consistent with indexing of Numpy arrays),
+label-based slicing of rows is done with <code>loc</code>, and slicing
+of columns by directly indexing column names.</p>
 <div id="challenge---range" class="callout challenge">
 <div class="callout-square">
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   "dateCreated": "2015-03-19",
-  "dateModified": "2024-02-21",
-  "datePublished": "2024-02-23"
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diff --git a/instructor/04-data-types-and-format.html b/instructor/04-data-types-and-format.html
index b9ed877c3..cf89f8423 100644
--- a/instructor/04-data-types-and-format.html
+++ b/instructor/04-data-types-and-format.html
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diff --git a/instructor/05-merging-data.html b/instructor/05-merging-data.html
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diff --git a/instructor/06-loops-and-functions.html b/instructor/06-loops-and-functions.html
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+++ b/instructor/06-loops-and-functions.html
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-  "datePublished": "2024-02-23"
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diff --git a/instructor/07-visualization-ggplot-python.html b/instructor/07-visualization-ggplot-python.html
index e58590506..58084dffa 100644
--- a/instructor/07-visualization-ggplot-python.html
+++ b/instructor/07-visualization-ggplot-python.html
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   "dateCreated": "2015-03-19",
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-  "datePublished": "2024-02-23"
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index 3792aedb1..1f13671a5 100644
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   "dateCreated": "2015-03-19",
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-  "datePublished": "2024-02-23"
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diff --git a/instructor/404.html b/instructor/404.html
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   "dateCreated": "2015-03-19",
-  "dateModified": "2024-02-23",
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diff --git a/instructor/CODE_OF_CONDUCT.html b/instructor/CODE_OF_CONDUCT.html
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diff --git a/instructor/CONTRIBUTORS.html b/instructor/CONTRIBUTORS.html
index 3a233eea7..454332fb0 100644
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   "dateCreated": "2015-03-19",
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diff --git a/instructor/LICENSE.html b/instructor/LICENSE.html
index c09eb4e2c..b1bd146bd 100644
--- a/instructor/LICENSE.html
+++ b/instructor/LICENSE.html
@@ -417,7 +417,7 @@ <h1>Licenses</h1>
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 <p>Working through solutions to the challenge above can provide a good
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 <ol style="list-style-type: decimal">
 <li><code>site_names = pd.unique(surveys_df["plot_id"])</code></li>
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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
@@ -2098,7 +2098,7 @@ <h3 class="callout-title">Challenge - Summary Data<a class="anchor" aria-label="
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-<div id="collapseSolution3" class="accordion-collapse collapse" data-bs-parent="#accordionSolution3" aria-labelledby="headingSolution3">
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 <ol style="list-style-type: decimal">
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 <div class="accordion-body">
 <p>As well as calling <code>count()</code> on the <code>record_id</code>
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 <ol style="list-style-type: decimal">
 <li><code>surveys_df.groupby('plot_id').mean()["weight"].plot(kind='bar')</code></li>
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+<div id="collapseSolution6" class="accordion-collapse collapse" aria-labelledby="headingSolution6" data-bs-parent="#accordionSolution6">
 <div class="accordion-body">
 <p>First we group data by site and by sex, and then calculate a total
 for each site.</p>
@@ -2495,7 +2495,7 @@ <h3 class="callout-title">Key Points<a class="anchor" aria-label="anchor" href="
 </div>
 </section></section><section id="aio-03-index-slice-subset"><p>Content from <a href="03-index-slice-subset.html">Indexing, Slicing and Subsetting DataFrames in Python</a></p>
 <hr>
-<p>Last updated on 2024-02-21 |
+<p>Last updated on 2024-02-26 |
         
         <a href="https://github.com/datacarpentry/python-ecology-lesson/edit/main/episodes/03-index-slice-subset.md" class="external-link">Edit this page <i aria-hidden="true" data-feather="edit"></i></a></p>
 <p>Estimated time: <i aria-hidden="true" data-feather="clock"></i> 60 minutes</p>
@@ -2972,15 +2972,16 @@ <h3 class="code-label">OUTPUT<i aria-hidden="true" data-feather="chevron-left"><
 integers). However, unlike <code>loc</code> or <code>iloc</code>,
 indexing a data frame directly with labels will select columns (e.g.
 <code>surveys_df[['species_id', 'plot_id', 'weight']]</code>), while
-ranges of integers will select rows (e.g. surveys_df[0:13]). Direct
-indexing of rows is redundant with using <code>iloc</code>, and will
-raise a <code>KeyError</code> if a single integer or list is used; the
-error will also occur if index labels are used without <code>loc</code>
-(or column labels used with it). A useful rule of thumb is the
-following: integer-based slicing is best done with <code>iloc</code> and
-will avoid errors (and is generally consistent with indexing of Numpy
-arrays), label-based slicing of rows is done with <code>loc</code>, and
-slicing of columns by directly indexing column names.</p>
+ranges of integers will select rows
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+<code>KeyError</code> if a single integer or list is used; the error
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+column labels used with it). A useful rule of thumb is the following:
+integer-based slicing is best done with <code>iloc</code> and will avoid
+errors (and is generally consistent with indexing of Numpy arrays),
+label-based slicing of rows is done with <code>loc</code>, and slicing
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index 0e061f255..5302cd483 100644
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