We will be relying on many different resources in this course. Each project has a list of pertinant reading material. Some material was written specifically for this course and can be accessed from the left navigation pane. Other reading materials will be pulled from:
- Python for Data Science: A port of R for Data Science using the Python packages pandas and Altair.
- pandas User Guide
- Altair User Guide
- scikit-learn learn User Guide
- scikit-learn tutorials
- Python Data Science Handbook
- A Whirlwind Tour of Python
- SQL by data.world
Wes McKinney’s pandas code for his book Python for Data Analysis is a useful reference as well: https://github.com/wesm/pydata-book