Estimate the Propensity Score, Match, Trim, and Stratify in Python following Imbens and Rubin (2015).
A package to make publication quality LaTeX tables from Python regression output.
These codes are based on the work of various researchers originally for Stata and R. See the original code here. I made a wrapper for the R script to implement the package in Python with graphics driven by Seaborn.
Make an index utilizing Google Trends from keywords based on uncertainty-type indexes.