References

General

• [Paper] Kieran Healy's "Choosing your Workflow Applications"
• [Course] Course on Research Tools by Kurt Schwehr. This includes links to YouTube videos, examples and a bunch of other materials.
• [Site] Software Carpentry, organization that runs bootcamps and provides a lot of useful documentation on many different tools for scientific computing.
• [Course] Cambridge Replication Workshop

Text editors

• [Program] Vim
• [Program] Emacs
• [Program] TextMate (Mac only)
• [Program] Sublime Text (Cross-platform)

LaTeX

• [Site] Official page.
• [Tutorial] WikiBook on LaTeX
• [Site] Tikz for economists How to draw those pesky economic diagrams in LaTeX

Statistical platforms

R

• [Site] Official page.
• [Program] RStudio A very good text editor for both R and LaTeX with Git support
• [Site] knitr Combining R with LaTeX or Markdown for simultaneous output of text and code.
• [Site] Computational Econometrics in R Collection of useful packages to do econometric stuff.

Python

• [Book] Python for Data Analysis
• [Site] Sargent's course on quantitative economics (link)
• [Tutorial] Statictical analysis made easy in Python.
• [Tutorial] Statistics and Econometrics examples in Python with statsmodels

Backup solutions

• [Program] Time Machine
• [Program] Dropbox
• [Service] Amazon Glacier

Version control

• [Article] Version control explained
• [Program] Git and GitHub (hosting service for git projects)
• [Book] Pro Git: great free book explaining git but also principles of versioning controls and general concepts.
• [Service] Authorea: cloud-based service to collaboratively write academic papers. Fully built on git so you can also use it as back up from already existing git projects.