Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

Notebooks for Course

scikit-learn: machine learning in Python

Computational data tools for financial economics. Keywords: Jupyter notebook pandas statistics GDP inflation CPI PCE Fed FRED Ferbus unemployment wage income debt Case-Shiller housing asset portfol…

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 ;)

Interactive Web Plotting with Bokeh in IPython notebook

Text and code for the second edition of Think Bayes, by Allen Downey.

Materials & Website for the 2015 eScience Python seminar

Text and supporting code for Think Stats, 2nd Edition

Lectures on scientific computing with python, as IPython notebooks.

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)

Tutorial on "Modern Optimization Methods in Python"

Supporting code for a video series on best practices for exploratory data analysis.

Sample applications built using Amazon Machine Learning.

Example Jupyter notebooks of lightning visualizations

Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python

Scikit-Learn tutorial material for Scipy 2015

Python for Finance (O'Reilly)

A collection of IPython notebooks covering various topics.

Code for Allen Downey's book Think Complexity, published by O'Reilly Media.

Geospatial data tutorial

Open Content for self-directed learning in data science

Code for a tutorial on Bayesian Statistics by Allen Downey.

Code for a workshop on statistical interference using computational methods in Python.