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DOC: fellowship program 2025 retrospective (#892)
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date: 2025-12-20
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### NumPy Fellowship Program 2025 Retrospective
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_8 Jan, 2026_ -- Joren Hammudoglu ([@jorenham](https://github.com/jorenham)) has published a
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retrospective on his year as a NumPy Fellow. Read the full post on the Scientific Python blog:
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[A Year of Typing: My NumPy Fellowship Retrospective](https://blog.scientific-python.org/numpy/fellowship-program-2025-retrospective/).
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### NumPy 2.4.0 released
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_20 Dec, 2025_ -- The NumPy 2.4.0 release continues the work to improve free
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_8 Dec, 2024_ -- The NumPy 2.2.0 release is a quick release that brings us back
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into sync with the usual twice yearly release cycle. There have been a number
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of small cleanups, improvements to the StringDType, and better support for free
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threaded Python. Highlights are:
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threaded Python. Highlights are:
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* New functions ``matvec`` and ``vecmat``,
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* Many improved annotations,
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### NumFOCUS end of the year fundraiser
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_Dec 19, 2023_ -- NumFOCUS has teamed up with PyCharm during their EOY campaign to offer a 30% discount
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on first-time PyCharm licenses. All year-one revenue from PyCharm purchases from now
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until December 23rd, 2023 will go directly to the NumFOCUS programs.
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_Dec 19, 2023_ -- NumFOCUS has teamed up with PyCharm during their EOY campaign to offer a 30% discount
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on first-time PyCharm licenses. All year-one revenue from PyCharm purchases from now
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until December 23rd, 2023 will go directly to the NumFOCUS programs.
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Use unique URL that will allow to track purchases https://lp.jetbrains.com/support-data-science/
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Use unique URL that will allow to track purchases https://lp.jetbrains.com/support-data-science/
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or a coupon code ISUPPORTDATASCIENCE 
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### NumPy 1.26.0 released
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### numpy.org is now available in Japanese and Portuguese
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_Aug 2, 2023_ -- numpy.org is now available in 2 additional languages:
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_Aug 2, 2023_ -- numpy.org is now available in 2 additional languages:
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Japanese and Portuguese. This wouldn’t be possible without our dedicated volunteers:
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_Portuguese:_
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Looking ahead, we’d love to translate the website into more languages.
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If you’d like to help, please connect with the NumPy Translations Team on Slack:
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https://join.slack.com/t/numpy-team/shared_invite/zt-1gokbq56s-bvEpo10Ef7aHbVtVFeZv2w.
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(Look for the #translations channel.) We are also building a Translations Team who will be
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working on localizing documentation and educational content across the Scientific Python
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ecosystem. If this piqued your interest, join us on the Scientific Python
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https://join.slack.com/t/numpy-team/shared_invite/zt-1gokbq56s-bvEpo10Ef7aHbVtVFeZv2w.
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(Look for the #translations channel.) We are also building a Translations Team who will be
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working on localizing documentation and educational content across the Scientific Python
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ecosystem. If this piqued your interest, join us on the Scientific Python
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Discord: https://discord.gg/khWtqY6RKr. (Look for the #translation channel.)
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### NumPy 1.25.0 released

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