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 ;)

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Beaker Extensions for Jupyter Notebook

Tutorial on scikit-learn and IPython for parallel machine learning

IPython kernel for Torch with visualization and plotting

IPython and Jupyter in-depth Tutorial, first presented at PyCon 2012

Telemetry onboarding material

fxa-retention-metrics