Tools and Scripts
Below are links to a few scripts, sub-routines, and software packages that I've found helpful for analyzing data and conducting empirical research.
TextMate - my favorite text editor for programming in Mac OS X. The bundles for Stata, Python, and other statistical software packages provide seamless integration with LaTeX.
Stata and LaTeX
listtex - a useful command for creating summary statistics tables from Stata .dta files and writing them to .tex files.
estout - great suite of commands for creating tables of estimation results in Stata and exporting them to .tex files.
Network Analysis
Gephi - open source software for visualizing networks
graph-tool - very helpful package for summarizing and manipulating large networks in Python
networkx - a large suite of fast algorithms for working with small to medium-sized networks
Maps in Stata
spmap - very handy for visualizing georeferenced datasets.
GIS in Python
GDAL - useful for manipulating vector and raster datasets
rasterstats - a helpful package for summarizing raster datasets based on vector geometries