Ubiquity of Python
I have written about the ubiquity of Python before and I’ve also given a talk in that direction at this year’s FOSSGIS conference (“Python as ‘glue’ in the GIS software domain: Sun glare analysis of road traffic accidents”). There is also a video of my talk here (but beware, it’s in German).
Especially in my work for the OII, but more recently also more often with EBP, I have been using R quite a lot. I like it primarily for its versatility and its large number of useful packages (such as plyr, Hmisc, relaimpo, car, ggplot2, etc.). However, I must concede that I’m quicker with Python for many tasks, possibly just because I use Python more often. Tal’s post has inspired me to venture further in my Python coding and to look at Python also for statistical modelling (an area where I typically used R until now). More on that hopefully soon.
What languages and software are you using for your data analysis and visualization needs?