In this repository we port the book's original code to Python and PyMC. We attempt to reproduce the examples as faithfully as possible while expressing them in a Pythonic and PyMConic way.

All contributions are welcome!

Feel free to send a PR to fix errors, improve the code, or make comments that could help users of this repository and readers of the book.

To install the dependencies to run these notebooks, you can use Anaconda. Once you have installed Anaconda, run:

conda env create -f environment.yml

to install all the dependencies into an isolated environment.

Activate the environment by running:

source activate bsm-pymc

Statistical Rethinking with Python and PyMC by All Contributors is licensed under a Creative Commons Attribution 4.0 International License.