About PyMC

PyMC is a probabilistic programming package for Python that allows users to fit Bayesian models using a variety of numerical methods, most notably Markov chain Monte Carlo (MCMC) and variational inference (VI). Its flexibility and extensibility make it applicable to a large suite of problems. PyMC is a non-profit project under NumFOCUS.

Below we have a series of videos on PyMC and contributing to the library. We encourage you to watch the videos and bookmark the PyMC Series playlist. A subset of these videos focus on How to Contribute to PyMC.

Is there a video you would find helpful, but it is not available? Let us know via info@dataumbrella.org.

• Intuitive Bayesian Modeling with PyMC
• Introduction to Array Operations in Python
• Introduction to Probabilistic Programming with PyMC
• Contributing to PyMC
• Contributing to PyMC Documentation
• Example Pull Request to PyMC