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From: Laura Creighton <lac@openend.se>
Newsgroups: comp.lang.python
Subject: Re: find which Python libraries are most influential in scientific research
Date: Sat, 14 Nov 2015 08:37:50 +0100
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Comments: In-reply-to Terry Reedy <tjreedy@udel.edu> message dated "Sat, 14 Nov 2015 00:38:41 -0500."
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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" <hpiwowar@gmail.com> wrote:
>>>
>>> Today's scientists often turn to Python to run analysis, simulation, a=
nd
>> 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_d=
epsy.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