- Instructor: Eric Monson
- Data Matters Slack channel: monson-python
- Accessing your data (inline exercises)
- Intro to Tidy Data
- Intro to tidy data plotting with Seaborn (inline exercises)
- Groupby Basics (inline exercises)
- Exploring NC emissions with Groupby and Pivot Tables (inline exercises)
- Full Accessing DataFrames (longer, more complete reference)
- JOIN types (optional background info on database JOINs)
Tidy Data Exercises are from the blog post by Jean-Nicholas Hould blog post and hist accompanying GitHub repository
Minimally Sufficient Pandas · A really great post by Ted Petrou with an opinionated guide to which commands and styles of coding should be used with Pandas. There are so many ways of doing the same thing in Pandas and he helps clarify which to choose and why. Not a beginner article, but essential for intermediate to advanced users.
Jupyter Notebook Tutorial · From Datacamp, gives history, setup and basic usage, with great links to good notebooks and how to set up interactive dashboards
Github Markdown cheat sheet · Super-concise summary of (github-style) Markdown syntax
Pandas cheat sheet · Modeled after R cheat sheet. Very good summary of basic Pandas functions
Dramatic Tour of Python visualization tools · Entertaining and illuminating comparison of how various plots would be done with many major Python visualization packages (Matplotlib, Pandas, Seaborn, ggplot, Altair), including code repository
Pandas tutorials and documentation · Good documentation, examples and quick tutorials from the official Pandas site