PyData Global 2023

PyMC / ArviZ / PyTensor Sprint
12-07, 18:00–22:00 (UTC), Sprints

Join sprint at https://numfocus-org.zoom.us/j/86009093429?pwd=lz9sX0Cwu6gbCz5fGdqYwvQQi1RKhF.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

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