An Introduction to Statistics with Python

by Lofkin on 5/31/2015, 6:13 PM with 34 comments
  • by Tycho on 6/1/2015, 3:28 AM

    iPython Notebook is great. Making it the norm for exploring/teaching ideas in a coding context is a great trend.

    One other thing I hope comes along is annotated mathematical formulas/expressions. Any time I see a mathematical symbol I want to be able to hover over it and get its definition (in the context it's being used) and other relevant information. So often I see formulas in articles/books where they don't explain everything. It makes it really hard for outsiders/amateurs to catch on to the ideas being discussed.

  • by tunnuz on 5/31/2015, 11:45 PM

    Also relevant: http://greenteapress.com/thinkstats by Allen B. Downey (free PDF but available as O'Reilly print).

  • by graffitici on 6/1/2015, 2:15 AM

    Can people comment as to the quality of this article? Would it be a good place for a refresher on statistics? Are there any other such projects that people can recommend?

    I like the way it has a strong Python focus.

  • by Lofkin on 6/1/2015, 2:50 AM

    More good python resources: http://web.bryant.edu/~bblais/statistical-inference-for-ever...

    Harvard Data science class, in python: http://cs109.github.io/2014/

  • by jeo1234 on 6/1/2015, 12:59 AM

    I still have to finish reading it, but I wonder how python will ultimately stack up against R?

  • by jtth on 6/1/2015, 3:08 AM

    Python: We Still Can't Do Generalized Linear Mixed Models, So Call R.