Data Science for Political and Social Phenomena by Chris Albon.
From the webpage:
I am a data scientist and quantitative political scientist. I specialize in the technical and organizational aspects of applying data science to political and social issues.
Years ago I noticed a gap in the existing data literature. On one side was data science, with roots in mathematics and computer science. On the other side were the social sciences, with hard-earned expertise modeling and predicting complex human behavior. The motivation for this site and ongoing book project is to bridge that gap: to create a practical guide to applying data science to political and social phenomena.
Chris has organized three hundred and twenty-eight pages on Data Wrangling, Python, R, etc.
If you like learning from examples, this is the site for you!
Including this site, what other twelve (12) sites would you include in a Python/R Data Science search interface?
That is an interface that has indexed only that baker’s dozen of sites. So you don’t spend time wading through “the G that is not named” search results.
Serious question.
Not that I would want to maintain such a beast for external use, but having a local search engine tuned to your particular interests could be nice.