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 ;)

Python programs, usually short, of considerable difficulty, to perfect particular skills.

A python library for decision tree visualization and model interpretation.

A collection of work related to COVID-19

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

A C++ monorepo for discrete and continuous optimization. Batteries included!