aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

Repeatable analysis plugin for Jupyter notebook

A repository for public storage of slides given at the 17th Python in Science Conferences (2018)

An IPython notebook plugin for visualizing ASTs.

For the Galvanize Deep Learning Evening Course 9/18