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Revision as of 10:13, 1 November 2019 editKku (talk | contribs)Extended confirmed users115,682 editsm →top: ]← Previous edit Revision as of 10:14, 1 November 2019 edit undoKku (talk | contribs)Extended confirmed users115,682 edits →Literature: sourcesNext edit →
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*]<ref>https://opensource.google/community/affiliations/</ref> *]<ref>https://opensource.google/community/affiliations/</ref>


== Literature == == Sources ==
* {{cite | last=Masuzzo | first=Paola | last2=Martens | first2=Lennart | title=Do you speak open science? Resources and tips to learn the language | publisher=PeerJ | date=2017-01-03 | doi=10.7287/peerj.preprints.2689v1 | ref=harv}} * {{cite | last=Masuzzo | first=Paola | last2=Martens | first2=Lennart | title=Do you speak open science? Resources and tips to learn the language | publisher=PeerJ | date=2017-01-03 | doi=10.7287/peerj.preprints.2689v1 | ref=harv}}
* {{cite web | title=Sponsored Projects - pandas, NumPy, Matplotlib, Jupyter, + more | website=NumFOCUS | date=2017-10-16 | url=https://numfocus.org/sponsored-projects | ref={{sfnref | NumFOCUS projects | 2017}} | access-date=2019-11-01}} * {{cite web | title=Sponsored Projects - pandas, NumPy, Matplotlib, Jupyter, + more | website=NumFOCUS | date=2017-10-16 | url=https://numfocus.org/sponsored-projects | ref={{sfnref | NumFOCUS projects | 2017}} | access-date=2019-11-01}}
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* {{cite web | last=Lorica | first=Ben | title=Python data tools just keep getting better | website=O'Reilly Media | date=2013-03-24 | url=https://www.oreilly.com/ideas/python-data-tools-just-keep-getting-better | ref=harv | access-date=2019-11-01}} * {{cite web | last=Lorica | first=Ben | title=Python data tools just keep getting better | website=O'Reilly Media | date=2013-03-24 | url=https://www.oreilly.com/ideas/python-data-tools-just-keep-getting-better | ref=harv | access-date=2019-11-01}}
* {{cite web | title=NumFOCUS History | website=NumFOCUS | date=2019-08-12 | url=https://numfocus.org/history | ref={{sfnref | NumFOCUS history | 2019}} | access-date=2019-11-01}} * {{cite web | title=NumFOCUS History | website=NumFOCUS | date=2019-08-12 | url=https://numfocus.org/history | ref={{sfnref | NumFOCUS history | 2019}} | access-date=2019-11-01}}
* {{cite web | title=OSR170 Don't Leave It To Google! - Research Infrastructures &#91;EN&#93; | website=Open Science Radio | date=2019-06-07 | url=http://www.openscienceradio.org/2019/06/07/osr170-dont-leave-it-to-google-research-infrastructures-en/ | ref={{sfnref | Open Science Radio | 2019}} | access-date=2019-11-01}}

== References == == References ==
{{reflist}} {{reflist}}

Revision as of 10:14, 1 November 2019

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This article related to a non-profit organization is a stub. You can help Misplaced Pages by expanding it.

NumFOCUS is a nonprofit promoting open-source numerical and scientific software. It was founded in 2012. The name is a backronym of "Numerical Foundation for Open Code and Usable Science”.

It supports a large portion of the Python data science ecosystem, including:

Outside of Python, it also sponsors:


The provided support can be fiscal, legal, or administrative support to help ensure the health and sustainability of the projects.

NumFOCUS received grants from the Alfred P. Sloan Foundation and the Gordon and Betty Moore Foundation and is supported by Bloomberg, Microsoft, Facebook, IBM, nvidia, and Two Sigma, amongst others.

See also

Sources

References

  1. Hale 2019.
  2. Lorica 2013.
  3. Masuzzo & Martens, p. 9. sfn error: no target: CITEREFMasuzzoMartens (help)
  4. NumFOCUS history 2019.
  5. NumFOCUS 2017.
  6. NumFOCUS projects 2017.
  7. https://matplotlib.org/
  8. https://pandas.pydata.org/
  9. https://jupyter.org/about
  10. https://docs.dask.org/en/latest/institutional-faq.html
  11. https://ropensci.org/
  12. https://www.theoj.org/
  13. IEEE Journals & Magazine 2019.
  14. https://software-carpentry.org/scf/history/
  15. Allen 2016.
  16. https://quantecon.org/
  17. https://sloan.org/grant-detail/6597
  18. https://opensource.twosigma.com/
  19. https://numfocus.org/sponsors
  20. https://opensource.google/community/affiliations/
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