Data-analysis-in-python.org Website Review

python is an increasingly popular tool for data an*lysis. in recent years, a number of libraries have reached maturity, allowing r and stata users to take advantage of the beauty, flexibility, and performance of python without sacrificing the functionality these this site is designed to offer an introduction to python specifically tailored for social scientists and people doing applied data an*lysis – users with little or no serious programming experience who just want to get things done, and who have experience with programs like r. note to users: in recent months, i've been finding myself switching more and more from python into a new language called julia. isn't quite a well-developed as the python eco-system -- but it was designed from the ground up for data an*lysis in a way python was. not.  there are also a number of aspects i think are really appealing for researchers which i outline in a talk i gave at vanderbilt here. it pretty easy to pick up (julia was clearly written by python, r, and matlab programmers). anyway, it may be a little young for some people, i recommend you visit these in sequence – a site for setting up python on your computer using the anaconda distribution, an intro to python for those not familiar with the language, an introduction to the pandas library for working with tabular data (an*logous to data.frames in r, or everything you ever did in stata), and a guide to installing libraries to expand python. the tool, guidance on what you need to know most, and links to other tutorials. these include pages on the command line question or comments? please send them my way! feedback of all sorts is greatly appreciated, and if you have any experience with github,