In a message of Sat, 14 Nov 2015 00:38:41 -0500, Terry Reedy writes: >On 11/13/2015 10:58 PM, Ian Kelly wrote: >> On Nov 9, 2015 7:41 PM, "Heather Piwowar" <hpiwo...@gmail.com> wrote: >>> >>> 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? > >Numpy, scipy, ?, ?, ?, ...
I'd put money on matplotlib pandas >>> 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 >> >> FYI, the depsy.org site is completely unusable on my Android phone. > >Ditto Win10, Firefox. Not looking good under FF here with debian unstable and a smallish laptop screen, either. Laura >-- >Terry Jan Reedy -- https://mail.python.org/mailman/listinfo/python-list
