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

Recipes for using Python's pandas library

Portfolio and risk analytics in Python

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

Productivity Tools for Plotly + Pandas

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

Environment for reinforcement-learning algorithmic trading models

Sentiment Analysis Challenge

Beautiful charting of pandas.DataFrame with Highcharts

Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/

Playing around with simple trading strategies and off-the-shelf machine-learning models from tensorflow.