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 ;)

The fastai deep learning library

A game theoretic approach to explain the output of any machine learning model.

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

100 days of algorithms

Productivity Tools for Plotly + Pandas

Beaker Extensions for Jupyter Notebook

PyBites Code Challenges

LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.

Production Data Science: a workflow for collaborative data science aimed at production

Repeatable analysis plugin for Jupyter notebook

Statistical Interactive Visualization with pandas+Jupyter integration on top of Echarts.

The code used in the GDC talk "Identifying Causal Factors in Churn"