Michael Waskom's starred repositories
scikit-learn
scikit-learn: machine learning in Python
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
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 ;)
CSS-Guidelines
High-level guidelines for writing manageable, maintainable CSS
app-template
The NPR visuals team's opinionated project template for client-side apps.
Flask-Foundation
A solid foundation for your flask app
ipython_extensions
My IPython extensions
neurosynth
Neurosynth core tools
markdown_science
Learn how to use markdown for science
Will_it_Python
Translating R Data Analyses to Python
BayesDataAnalysisWithPyMC
Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"
StatisticalLearningInPython
Implementing Hastie and Tibshirani's Course in Python