In what's becoming a bit of a tradition , Simula's Hans-Petter Langtangen , U. Washington's Randy LeVeque and I co-organized yet another minisymposium on Python for Scientific computing at a SIAM conference. At the Computational Science and Engineering 2011 meeting , held in Reno February 28-March 4, we had 2 sessions with 4 talks each ( part I and II ). I have put together a page with all the slides I got from the various speakers, that also includes slides from python-related talks in other minisymposia. I have also posted some pictures from our sessions and from the minisymposium on reproducible research that my friend and colleague Jarrod Millman organized during the same conference. We had great attendance, with a standing-room-only crowd for the first session, something rather unusual during the parallel sessions of a SIAM conference. But more importantly, this year there were three other sessions entirely devoted to Python in scientific computing ...
Thoughts and notes on open scientific computing, with a focus on Python-based tools (IPython, numpy, scipy, matplotlib and friends). By Fernando Pérez, UC Berkeley Statistics and Data Science Professor. Website at fernandoperez.org.