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, ?, ?, ?, ...
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.
--
Terry Jan Reedy
--
https://mail.python.org/mailman/listinfo/python-list
