[TriZPUG] notes on python, R, statistics

[Tom Roche]

Thomas Haslwanter <thomas.haslwanter at gmail.com> has an Introduction to Statistical Analysis

http://work.thaslwanter.at/Stats/html/
http://work.thaslwanter.at/Stats/StatsIntro.pdf
https://github.com/thomas-haslwanter/statsintro

that seeks to do an introduction to statistics using python rather than an introduction to python for statistics. More along the latter line, Tony Hirst <tony.hirst at open.ac.uk> is starting on a course for the (UK) Open University which includes pandas

https://github.com/psychemedia/ou-tm351
http://nbviewer.ipython.org/github/psychemedia/ou-tm351/blob/master/notebooks-RFC/Pandas%20Intro%20-%20RFC.ipynb

and will presumably include content from his posts

http://blog.ouseful.info/2014/03/26/visualising-pandas-dataframes-with-ipythonblocks-proof-of-concept/
http://blog.ouseful.info/2014/01/22/using-one-programming-language-in-the-context-of-another-python-and-r/

Continuing the theme of the latter post: you may find yourself wanting something in R that isn't in, or that you don't know how to do with, python. I was unaware that IPython has waaay cool `rmagic`

http://nbviewer.ipython.org/github/ipython/ipython/blob/3607712653c66d63e0d7f13f073bde8c0f209ba8/docs/examples/notebooks/rmagic_extension.ipynb

FWIW, Tom Roche <Tom_Roche at pobox.com>