scientific Python featured in GitHub keynote

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scientific Python featured in GitHub keynote

ralfgommers
Hi all,

On Thursday I had the pleasure to be at GitHub Satellite, together with quite a few other maintainers from projects throughout our ecosystem, and see NumPy, Matplotlib, AstroPy and other projects highlighted prominently in Nat Friedman's keynote. It included the story of the black hole image, and the open source software that enabled that image. It's the first 21 minutes of https://www.youtube.com/watch?v=xAbJkn4uRL4.

Also, we now have "used by" for each repo and the dependency graph (https://github.com/numpy/numpy/network/dependents): right now there are 205,240 repos and 13,877 packages on GitHub that depend on NumPy. Those numbers were not easy to get before, so very useful to have them in the UI now.

Cheers,
Ralf


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Re: scientific Python featured in GitHub keynote

Charles R Harris


On Sat, May 25, 2019 at 4:09 PM Ralf Gommers <[hidden email]> wrote:
Hi all,

On Thursday I had the pleasure to be at GitHub Satellite, together with quite a few other maintainers from projects throughout our ecosystem, and see NumPy, Matplotlib, AstroPy and other projects highlighted prominently in Nat Friedman's keynote. It included the story of the black hole image, and the open source software that enabled that image. It's the first 21 minutes of https://www.youtube.com/watch?v=xAbJkn4uRL4.

Also, we now have "used by" for each repo and the dependency graph (https://github.com/numpy/numpy/network/dependents): right now there are 205,240 repos and 13,877 packages on GitHub that depend on NumPy. Those numbers were not easy to get before, so very useful to have them in the UI now.


Thanks for the link. That was a lot of material to digest, do you have thoughts about which things we should be interested in?

Chuck 

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Re: scientific Python featured in GitHub keynote

ralfgommers


On Sun, May 26, 2019 at 2:19 AM Charles R Harris <[hidden email]> wrote:


On Sat, May 25, 2019 at 4:09 PM Ralf Gommers <[hidden email]> wrote:
Hi all,

On Thursday I had the pleasure to be at GitHub Satellite, together with quite a few other maintainers from projects throughout our ecosystem, and see NumPy, Matplotlib, AstroPy and other projects highlighted prominently in Nat Friedman's keynote. It included the story of the black hole image, and the open source software that enabled that image. It's the first 21 minutes of https://www.youtube.com/watch?v=xAbJkn4uRL4.

Also, we now have "used by" for each repo and the dependency graph (https://github.com/numpy/numpy/network/dependents): right now there are 205,240 repos and 13,877 packages on GitHub that depend on NumPy. Those numbers were not easy to get before, so very useful to have them in the UI now.


Thanks for the link. That was a lot of material to digest, do you have thoughts about which things we should be interested in?

The triage role will be very useful (not yet available except as beta, being rolled out over the next couple of weeks). It nicely fills the gap between "nothing" and "full write access".

The "used by" and the dependency graph features will be very useful when, e.g., writing proposals. It's not 100% complete (no OpenBLAS link for us for example) but it's better than anything we had before.

I'm still wrapping my head around "sponsors". It's aimed at individuals and in general not the best for for NumPy and similar size projects I think, but there's a lot to like as well and there may be more coming in that direction. For those who are interested in funding/sponsoring, this is a nice reflection on the sponsors feature: https://nadiaeghbal.com/github-sponsors

Finally I think the Event Horizon Telescope "story" as presented in that keynote is interesting and very useful when explaining the impact of our projects. We can use that on the website and in other places. Getting similar stories from outside physics and astronomy - the more diverse the better - will be valuable too. If there are people out there who can explain or help write up examples with large impact (say a major discovery in biology, a Nobel prize in economics, etc. using scientific Python), let's talk!

Cheers,
Ralf


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Re: scientific Python featured in GitHub keynote

ralfgommers


On Sun, May 26, 2019 at 11:58 AM Ralf Gommers <[hidden email]> wrote:


On Sun, May 26, 2019 at 2:19 AM Charles R Harris <[hidden email]> wrote:


On Sat, May 25, 2019 at 4:09 PM Ralf Gommers <[hidden email]> wrote:
Hi all,

On Thursday I had the pleasure to be at GitHub Satellite, together with quite a few other maintainers from projects throughout our ecosystem, and see NumPy, Matplotlib, AstroPy and other projects highlighted prominently in Nat Friedman's keynote. It included the story of the black hole image, and the open source software that enabled that image. It's the first 21 minutes of https://www.youtube.com/watch?v=xAbJkn4uRL4.

Also, we now have "used by" for each repo and the dependency graph (https://github.com/numpy/numpy/network/dependents): right now there are 205,240 repos and 13,877 packages on GitHub that depend on NumPy. Those numbers were not easy to get before, so very useful to have them in the UI now.


Thanks for the link. That was a lot of material to digest, do you have thoughts about which things we should be interested in?

The triage role will be very useful (not yet available except as beta, being rolled out over the next couple of weeks). It nicely fills the gap between "nothing" and "full write access".

The "used by" and the dependency graph features will be very useful when, e.g., writing proposals. It's not 100% complete (no OpenBLAS link for us for example) but it's better than anything we had before.

I'm still wrapping my head around "sponsors". It's aimed at individuals and in general not the best for for NumPy and similar size projects I think, but there's a lot to like as well and there may be more coming in that direction. For those who are interested in funding/sponsoring, this is a nice reflection on the sponsors feature: https://nadiaeghbal.com/github-sponsors

Okay not entirely accurate. We can and did just add a "<heart> sponsor" button:) It links to our donate section on numpy.org and to our Tidelift page.

Cheers,
Ralf


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