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find which Python libraries are most influential in scientific research

Started byHeather Piwowar <hpiwowar@gmail.com>
First post2015-11-09 18:36 -0800
Last post2015-11-14 08:37 +0100
Articles 5 — 5 participants

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  find which Python libraries are most influential in scientific research Heather Piwowar <hpiwowar@gmail.com> - 2015-11-09 18:36 -0800
    Re: find which Python libraries are most influential in scientific research Ian Kelly <ian.g.kelly@gmail.com> - 2015-11-13 20:58 -0700
      Re: find which Python libraries are most influential in scientific research Steven D'Aprano <steve@pearwood.info> - 2015-11-14 17:05 +1100
    Re: find which Python libraries are most influential in scientific research Terry Reedy <tjreedy@udel.edu> - 2015-11-14 00:38 -0500
    Re: find which Python libraries are most influential in scientific research Laura Creighton <lac@openend.se> - 2015-11-14 08:37 +0100

#98569 — find which Python libraries are most influential in scientific research

FromHeather Piwowar <hpiwowar@gmail.com>
Date2015-11-09 18:36 -0800
Subjectfind which Python libraries are most influential in scientific research
Message-ID<06e7d84d-7e49-4160-b42e-a6911640d9e8@googlegroups.com>
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

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#98794

FromIan Kelly <ian.g.kelly@gmail.com>
Date2015-11-13 20:58 -0700
Message-ID<mailman.320.1447473487.16136.python-list@python.org>
In reply to#98569
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?
>
> 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.

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#98797

FromSteven D'Aprano <steve@pearwood.info>
Date2015-11-14 17:05 +1100
Message-ID<5646cf39$0$1610$c3e8da3$5496439d@news.astraweb.com>
In reply to#98794
On Sat, 14 Nov 2015 02:58 pm, Ian Kelly wrote:

> FYI, the depsy.org site is completely unusable on my Android phone.

On Firefox under Linux, the page comes up blank.

If I use the NoScript plugin to allow Javascript from the despy.org site,
the page now takes twice as long to load, and still comes up blank.

If I then tell NoScript to allow Javascript from angular-io.github.io, it
eventually loads an extremely garish, multi-coloured page with no dynamic
content. As far as I can see, everything is static text and links, with a
very few GIANT icons, which makes the dependency on Javascript *completely*
unnecessary and quite obnoxious.

For the record, the page contains just under 350 words, and loading it
requires 21 web requests for 947.40 KB of data, or equivalent to
approximately 2700 bytes per word.

Between the difficulty of getting the page to display, and the unfortunate
look of the page once it actually does (it looks like it was designed for
an audience of five year olds, with brightly coloured purple, red, blue,
green, yellow backgrounds and giant-sized text), I wouldn't be in a rush to
explore the project any further.

I wish the authors good luck with the project, but they're not doing
themselves (or us) any favours with the design of the webpage.



-- 
Steven

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#98795

FromTerry Reedy <tjreedy@udel.edu>
Date2015-11-14 00:38 -0500
Message-ID<mailman.321.1447479559.16136.python-list@python.org>
In reply to#98569
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

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#98798

FromLaura Creighton <lac@openend.se>
Date2015-11-14 08:37 +0100
Message-ID<mailman.322.1447486686.16136.python-list@python.org>
In reply to#98569
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, 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

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