NumPy - News

21 Jun, 2026 – NumPy 2.5.0 is a transitional release. It drops support for Python 3.11, marking the end of distutils, and expires a large number of deprecations made in the 2.0.x release. It also improves free threading and brings sorting into compliance with the array-api standard with the addition of descending sorts. Highlights:
This release supports Python versions 3.12-3.14.
8 Jan, 2026 – Joren Hammudoglu (@jorenham) has published a retrospective on his year as a NumPy Fellow. Read the full post on the Scientific Python blog:
A Year of Typing: My NumPy Fellowship Retrospective.
20 Dec, 2025 – The NumPy 2.4.0 release continues the work to improve free threaded Python support, user dtypes implementation, and annotations. There are many expired deprecations and bug fixes as well. Highlights:
This release supports Python versions 3.11-3.14.
7 Jun, 2025 – The NumPy 2.3.0 release improves free-threaded Python support and annotations together with the usual set of bug fixes. It is unusual in the number of expired deprecations, code modernizations, and style cleanups. The latter may not be visible to users, but is important for code maintenance over the long term. Note that we have also upgraded from manylinux2014 to manylinux_2_28. Highlights:
This release supports Python versions 3.11-3.13, Python 3.14 will be supported when it is released.
8 Dec, 2024 – The NumPy 2.2.0 release is a quick release that brings us back into sync with the usual twice yearly release cycle. There have been a number of small cleanups, improvements to the StringDType, and better support for free threaded Python. Highlights:
This release supports Python versions 3.10-3.13.
18 Aug, 2024 – NumPy 2.1.0 provides support for Python 3.13 and drops support for Python 3.9. In addition to the usual bug fixes and updated Python support, it helps get NumPy back to its usual release cycle after the extended development of 2.0. Highlights:
Python versions 3.10-3.13 are supported by this release.
16 Jun, 2024 – NumPy 2.0.0 is the first major release since 2006. It is the result of 11 months of development since the last feature release and is the work of 212 contributors spread over 1078 pull requests. It contains a large number of exciting new features as well as changes to both the Python and C APIs. It includes breaking changes that could not happen in a regular minor release - including an ABI break, changes to type promotion rules, and API changes which may not have been emitting deprecation warnings in 1.26.x. Key documents related to how to adapt to changes in NumPy 2.0 include:
The blog post “NumPy 2.0: an evolutionary milestone” tells a bit of the story about how this release came together.
23 May, 2024 – We are excited to announce that NumPy 2.0 is planned to be released on June 16, 2024. This release has been over a year in the making, and is the first major release since 2006. Importantly, in addition to many new features and performance improvement, it contains breaking changes to the ABI as well as the Python and C APIs. It is likely that downstream packages and end user code needs to be adapted - if you can, please verify whether your code works with NumPy 2.0.0rc2. Please see the following for more details:
Dec 19, 2023 – NumFOCUS has teamed up with PyCharm during their EOY campaign to offer a 30% discount on first-time PyCharm licenses. All year-one revenue from PyCharm purchases from now until December 23rd, 2023 will go directly to the NumFOCUS programs.
Use unique URL that will allow to track purchases https://lp.jetbrains.com/support-data-science/ or a coupon code ISUPPORTDATASCIENCE
Sep 16, 2023 – NumPy 1.26.0 is now available. Highlights:
The NumPy 1.26.0 release is a continuation of the 1.25.x series that marks the transition to the Meson build system and provision of support for Cython 3.0.0. A total of 20 people contributed to this release and 59 pull requests were merged.
The Python versions supported by this release are 3.9-3.12.
Aug 2, 2023 – numpy.org is now available in 2 additional languages: Japanese and Portuguese. This wouldn’t be possible without our dedicated volunteers:
The work on the translation infrastructure is supported with funding from CZI.
Looking ahead, we’d love to translate the website into more languages. If you’d like to help, please connect with the NumPy Translations Team on Slack: https://join.slack.com/t/numpy-team/shared_invite/zt-1gokbq56s-bvEpo10Ef7aHbVtVFeZv2w. (Look for the #translations channel.) We are also building a Translations Team who will be working on localizing documentation and educational content across the Scientific Python ecosystem. If this piqued your interest, join us on the Scientific Python Discord: https://discord.gg/khWtqY6RKr. (Look for the #translation channel.)
Jun 17, 2023 – NumPy 1.25.0 is now available. Highlights:
The NumPy 1.25.0 release continues the ongoing work to improve the handling and promotion of dtypes, increase the execution speed, and clarify the documentation. There has also been preparatory work for the future NumPy 2.0.0, resulting in a large number of new and expired deprecations.
A total of 148 people contributed to this release and 530 pull requests were merged.
The Python versions supported by this release are 3.9-3.11.
May 10, 2023 – Fostering an Inclusive Culture: Call for Participation
How can we be better when it comes to diversity and inclusion? Read the report and find out how to get involved here.
Jan 6, 2023 –- Mukulika Pahari and Ross Barnowski are appointed as the new NumPy documentation team leads replacing Melissa Mendonça. We thank Melissa for all her contributions to the NumPy official documentation and educational materials, and Mukulika and Ross for stepping up.
Dec 18, 2022 – NumPy 1.24.0 is now available. Highlights:
The NumPy 1.24.0 release continues the ongoing work to improve the handling and promotion of dtypes, increase execution speed, and clarify the documentation. There are a large number of new a