Python Data Science Handbook: full text in Jupyter Notebooks

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 ;)

Data and code behind the articles and graphics at FiveThirtyEight

Automatic extraction of relevant features from time series:

Python library for interactive topic model visualization. Port of the R LDAvis package.

Jupyter Notebook examples for talk delivered at PyConAU 2016 (August 12-16) by Ioanna Ioannou and Maoyuan Liu

NYT Risk Semantics Project