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| Started by | Heather Piwowar <hpiwowar@gmail.com> |
|---|---|
| First post | 2015-11-09 18:36 -0800 |
| Last post | 2015-11-14 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
| From | Heather Piwowar <hpiwowar@gmail.com> |
|---|---|
| Date | 2015-11-09 18:36 -0800 |
| Subject | find 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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| From | Ian Kelly <ian.g.kelly@gmail.com> |
|---|---|
| Date | 2015-11-13 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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| From | Steven D'Aprano <steve@pearwood.info> |
|---|---|
| Date | 2015-11-14 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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| From | Terry Reedy <tjreedy@udel.edu> |
|---|---|
| Date | 2015-11-14 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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| From | Laura Creighton <lac@openend.se> |
|---|---|
| Date | 2015-11-14 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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