My two favorite scientific programming languages are Python and R, each for their own specific strengths. I stick with R for most of my serious stats stuff, but for everyday processing, analysis, and GUI building, Python is my modus operandi. Lately however, I’ve been doing more and more things in Python… even the stats stuff. When doing statistical analysis in Python, I usually use the excellent rpy2 library to communicate between Python and R. As a result, I have put together quite a few little code snippets to work with R commands in Python. Recently, I decided to put ...
- Sat 06 November 2010 cfarmer
- Wed 28 January 2009 cfarmer
I’m sure everyone has seen this already, but I’m going to post it anyway, as I think the more exposure open-source tools get, the better off we’ll all be!
Check out this New York Times article which features
R, the open-source statistical programming language.
Rnow has quite an extensive range of spatial analysis options, and is the software of choice for researchers using spatial statistics and geographic information analysis.
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