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From: Terry Reedy <tjreedy@udel.edu>
Newsgroups: comp.lang.python
Subject: Re: find which Python libraries are most influential in scientific research
Date: Sat, 14 Nov 2015 00:38:41 -0500
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Xref: csiph.com comp.lang.python:98795

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, 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