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…

An interactive data visualization tool which brings matplotlib graphics to the browser using D3.

Source code for my collection of articles on using pandas.

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

Machine Learning for High Energy Physics.

Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

Tutorials on computing essentials for HEP

Cost function builder. For fitting distributions.

material for CERN Summer Student Workshop

Spline model for electron insert factors

Manchester CP asymmetry tutorial

A repository to demonstrate new data analysis packages and techniques