PyData Global 2023

PyMC / ArviZ / PyTensor Sprint
12-06, 18:00–22:00 (UTC), Sprints

Join sprint at https://numfocus-org.zoom.us/j/81746276652?pwd=bIh9dapxLFXutcSztKa5IYwloGMIr8.1

Sprint Leaders
Christian Luhmann
Purna Chandra Mansingh
Jesse Grabowski


PyMC is a Python-based statistical modeling tool for Bayesian statistical modeling and Probabilistic Machine Learning which focuses on advanced Markov chain Monte Carlo and variational fitting algorithms.
ArviZ is a unified codebase for Exploratory analysis of Bayesian models.
PyTensor is a Python library that allows you to define, optimize/rewrite, and evaluate mathematical expressions involving multi-dimensional arrays efficiently.


Prior Knowledge Expected

No previous knowledge expected

This speaker also appears in: