Excerpt from the README.rst with some useful pointers:
- API quickstart guide
- The PyMC tutorial
- PyMC examples and the API reference
- Bayesian Analysis with Python (third edition) by Osvaldo Martin: Great introductory book.
- Probabilistic Programming and Bayesian Methods for Hackers: Fantastic book with many applied code examples.
- PyMC port of the book "Doing Bayesian Data Analysis" by John Kruschke as well as the first edition.
- PyMC port of the book "Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
- PyMC port of the book "Bayesian Cognitive Modeling" by Michael Lee and EJ Wagenmakers: Focused on using Bayesian statistics in cognitive modeling.
- Here is a YouTube playlist gathering several talks on PyMC.
- You can also find all the talks given at PyMCon 2020 here.
- The "Learning Bayesian Statistics" podcast helps you discover and stay up-to-date with the vast Bayesian community. Bonus: it's hosted by Alex Andorra, one of the PyMC core devs!