📚 Resources

Table of contents

1. Past Exams
2. Videos
3. Readings
   1. Textbooks
   2. Extra Lecture Notebooks
   3. Articles
   4. Other Links
4. Regular Expressions

Past Exams

Past exams with detailed solutions can be found at practice.dsc80.com.

Videos

• Working on Assignments in DSC 80
• Working with the command-line in DSC 80

Readings

Textbooks

• 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.

Extra Lecture Notebooks

• Lecture 11: Fast Permutation Tests.
• Lecture 12: More Missingness Examples.

Articles

• Views and Copies in pandas – a great read if you’d like to learn more about the infamous SettingWithCopyWarning.
• jwilber.me/permutationtest, a great visual explanation of permutation testing.
• A Visual Introduction to Machine Learning and Model Tuning and the Bias-Variance Tradeoff, excellent visual descriptions of the last few weeks of the course (some terminology is different, but the ideas are the same).

Other Links

• pandastutor.com, the equivalent of pythontutor.com for DataFrame manipulation.

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).