Repository containing practice problems for Practical Data Science (past exams and discussion). Hosted at study.practicaldsc.org. Before using the repo, make sure you have the following packages installed (install them all via pip install):
- BeautifulSoup4
- pandoc
- lxml
- pyyaml
- regex
Also, make sure you install pandoc as a standalone program on your computer.
Style guide for writing up problems:
- Answer: should be bolded followed by unbolded answer(s), comma separated if it fits on one line, or each answer on a new line if it doesn't fit on one line
- Use () for choose one, [] for select all. Add a space before the text of each answer choice.
- For subsubparts, use numbers followed by period to introduce each question
In translating from Latex to Markdown, there are a few easy find/replace things that help with a lot of things:
\begin{verbatim} --> py \end{verbatim} -->
" --> '
_ --> _
\texttt{ --> `
\textbf{ --> **
\textit{ --> *
\bubble --> ( )
\correctbubble --> ( )
\squarebubble --> [ ]
\correctsquarebubble --> [ ]
\begin{subprobset} -->
\end{subprobset} -->
\begin{subprob} --> # BEGIN SUBPROB
\end{subprob} --> # END SUBPROB
\begin{responsebox} --> # BEGIN SOLUTION
\end{responsebox} --> # END SOLUTION
\begin{soln} --> # BEGIN SOLUTION
\end{soln} --> # END SOLUTION
\bigskip -->
\noindent -->
Note: ( ) and [ ] need a space between the brackets. There should not be blank lines between options.
To explain up-front:
- All exams are individual (collaboration on exams is never allowed).
- What ( ) and [ ] mean. In their absence, students needed to write out code by hand.
- In-person means on-paper.
- Think of select-all questions as a sequence of true-false questions. Partial credit for these questions was assigned accordingly.