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Resources

Gregory D. Erhardt edited this page Jun 16, 2017 · 3 revisions

A collection of useful resources and tutorials:

"This site is designed to offer an introduction to Python specifically tailored for social scientists and people doing applied data analysis – users with little or no serious programming experience who just want to get things done, and who have experience with programs like R and Stata but are anxious for something better."

http://www.data-analysis-in-python.org/index.html

Pandas cheat sheet:

https://www.dataquest.io/blog/images/cheat-sheets/pandas-cheat-sheet.pdf

Dask for parallel processing:

https://jakevdp.github.io/blog/2015/08/14/out-of-core-dataframes-in-python/

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