Writing code for a big scientific collaboration
Monday, October 26th, 2009[caption id="" align="alignleft" width="300" caption="Photo by ralphbijker"][/caption] One of the striking thing about scientific software is the range of different contexts in which it's needed. Scientists need quick-and-dirty scripts to process their data and plot their results; they need prototypes so that they can experiment with new statistical techniques; and they ...
