pymc-devs/pymc-resources resource

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2102 stars · 762 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of educational resources for PyMC, including Python ports of popular Bayesian statistics textbooks such as Statistical Rethinking, Bayesian Data Analysis, and Bayes Rules. The materials are provided as Jupyter Notebooks with models originally written in STAN, BUGS, or JAGS translated to PyMC.

Use cases

• learn bayesian inference with pymc
• find pymc examples from statistical rethinking book
• study bayesian data analysis in python
• port stan or bugs models to pymc
• teach a bayesian statistics course with notebooks
• practice bayesian modeling and computation in python

When to choose

• you are learning Bayesian statistics with PyMC and want worked examples
• you want to follow a textbook like Statistical Rethinking using PyMC instead of R or Stan
• you need reference notebooks for Bayesian cognitive modeling or Bayesian data analysis

When to avoid

• you need a production probabilistic programming library rather than educational material
• you are looking for PyMC itself or its documentation rather than learning resources
• you need non-Bayesian machine learning tutorials

Facets

learning-resource · maturity active

data-science machine-learning data-science education tutorials python cross-platform bayesian-statistics pymc jupyter-notebooks probabilistic-programming educational-resources

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markdown · JSON · MCP: product_card(name="pymc-devs/pymc-resources")