Today's scientists often turn to Python to run analysis, simulation, and other sciency tasks.
That makes us wonder: which Python libraries are most influential in scientific research? We just released a tool (built in Python, of course) to answer that question. It's called Depsy [1], it's funded by the US National Science Foundation, and we'd love your comments. For more information, see our blog post [2] and paper [3]. The scientific/engineering tag is a great place to start exploring [4]. Heather Piwowar and Jason Priem 1. http://depsy.org 2. http://blog.impactstory.org/introducing-depsy 3. https://github.com/Impactstory/depsy-research/blob/master/introducing_depsy.md 4. http://depsy.org/tag/scientific%252Fengineering -- https://mail.python.org/mailman/listinfo/python-list
