Resources 📚

Table of contents

1. Past Exams
2. Videos
3. Readings
4. Regular Expressions
5. Other Resources

Past Exams

Note that topic coverage and ordering has changed over time, so the content in our exams won’t necessarily exactly match the content of these past exams.

Videos

• Environment Setup and the Assignment Workflow in DSC 80
• Working with the command-line in DSC 80

Readings

• notes.dsc80.com, our course notes.
• Wes McKinney. “Python for Data Analysis”.
• DSC 10 Course Notes – great refresher on babypandas.
• Principles and Techniques of Data Science, the textbook for Berkeley’s Data 100 course.
• Computational and Inferential Thinking, the textbook for Berkeley’s Data 8 course.

Regular Expressions

• regex101.com, a helpful site to have open while writing regular expressions.
• Python re library documentation and how-to.
• regex “cheat sheet” (taken from here).

Other Resources

• pandastutor.com, the equivalent of pythontutor.com for DataFrame manipulation.
• jwilber.me/permutationtest, a great visual explanation of permutation testing.