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NumPy is the fundamental package for scientific computing with Python.

It provides:

  • a powerful N-dimensional array object
  • sophisticated (broadcasting) functions
  • tools for integrating C/C++ and Fortran code
  • useful linear algebra, Fourier transform, and random number capabilities

Testing:

NumPy requires pytest and hypothesis. Tests can then be run after installation with:

python -c "import numpy, sys; sys.exit(numpy.test() is False)"

Code of Conduct

NumPy is a community-driven open source project developed by a diverse group of contributors. The NumPy leadership has made a strong commitment to creating an open, inclusive, and positive community. Please read the NumPy Code of Conduct for guidance on how to interact with others in a way that makes our community thrive.

Call for Contributions

The NumPy project welcomes your expertise and enthusiasm!

Small improvements or fixes are always appreciated. If you are considering larger contributions to the source code, please contact us through the mailing list first.

Writing code isn’t the only way to contribute to NumPy. You can also:

  • review pull requests
  • help us stay on top of new and old issues
  • develop tutorials, presentations, and other educational materials
  • maintain and improve our website
  • develop graphic design for our brand assets and promotional materials
  • translate website content
  • help with outreach and onboard new contributors
  • write grant proposals and help with other fundraising efforts

For more information about the ways you can contribute to NumPy, visit our website. If you’re unsure where to start or how your skills fit in, reach out! You can ask on the mailing list or here, on GitHub, by opening a new issue or leaving a comment on a relevant issue that is already open.

Our preferred channels of communication are all public, but if you’d like to speak to us in private first, contact our community coordinators at numpy-team@googlegroups.com or on Slack (write numpy-team@googlegroups.com for an invitation).

We also have a biweekly community call, details of which are announced on the mailing list. You are very welcome to join.

If you are new to contributing to open source, this guide helps explain why, what, and how to successfully get involved.

Release files for numpy 2.1.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for numpy 2.1.2
File Size Uploaded
numpy-2.1.2.tar.gz 18.9 MB Details

Built distributions (wheels)

Table of built distributions (wheels) for numpy 2.1.2
File
numpy-2.1.2-pp310-pypy310_pp73-win_amd64.whl PyPy 3.10 PyPy 3.10 7.3 Windows x86-64 Details
numpy-2.1.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl PyPy 3.10 PyPy 3.10 7.3 Linux glibc 2.17+ x86-64 Details
numpy-2.1.2-pp310-pypy310_pp73-macosx_14_0_x86_64.whl PyPy 3.10 PyPy 3.10 7.3 macOS 14.0+ x86-64 Details
numpy-2.1.2-pp310-pypy310_pp73-macosx_10_15_x86_64.whl PyPy 3.10 PyPy 3.10 7.3 macOS 10.15+ x86-64 Details
numpy-2.1.2-cp313-cp313t-musllinux_1_2_aarch64.whl CPython 3.13 CPython 3.13 free-threading Linux musl 1.2+ ARM64 Details
numpy-2.1.2-cp313-cp313t-musllinux_1_1_x86_64.whl CPython 3.13 CPython 3.13 free-threading Linux musl 1.1+ x86-64 Details
numpy-2.1.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.13 CPython 3.13 free-threading Linux glibc 2.17+ x86-64 Details
numpy-2.1.2-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.13 CPython 3.13 free-threading Linux glibc 2.17+ ARM64 Details
numpy-2.1.2-cp313-cp313t-macosx_14_0_x86_64.whl CPython 3.13 CPython 3.13 free-threading macOS 14.0+ x86-64 Details
numpy-2.1.2-cp313-cp313t-macosx_14_0_arm64.whl CPython 3.13 CPython 3.13 free-threading macOS 14.0+ ARM64 Details
numpy-2.1.2-cp313-cp313t-macosx_11_0_arm64.whl CPython 3.13 CPython 3.13 free-threading macOS 11.0+ ARM64 Details
numpy-2.1.2-cp313-cp313t-macosx_10_13_x86_64.whl CPython 3.13 CPython 3.13 free-threading macOS 10.13+ x86-64 Details
numpy-2.1.2-cp313-cp313-win_amd64.whl CPython 3.13 CPython 3.13 Windows x86-64 Details
numpy-2.1.2-cp313-cp313-win32.whl CPython 3.13 CPython 3.13 Windows x86-32 Details
numpy-2.1.2-cp313-cp313-musllinux_1_2_aarch64.whl CPython 3.13 CPython 3.13 Linux musl 1.2+ ARM64 Details
numpy-2.1.2-cp313-cp313-musllinux_1_1_x86_64.whl CPython 3.13 CPython 3.13 Linux musl 1.1+ x86-64 Details
numpy-2.1.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.13 CPython 3.13 Linux glibc 2.17+ x86-64 Details
numpy-2.1.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.13 CPython 3.13 Linux glibc 2.17+ ARM64 Details
numpy-2.1.2-cp313-cp313-macosx_14_0_x86_64.whl CPython 3.13 CPython 3.13 macOS 14.0+ x86-64 Details
numpy-2.1.2-cp313-cp313-macosx_14_0_arm64.whl CPython 3.13 CPython 3.13 macOS 14.0+ ARM64 Details
numpy-2.1.2-cp313-cp313-macosx_11_0_arm64.whl CPython 3.13 CPython 3.13 macOS 11.0+ ARM64 Details
numpy-2.1.2-cp313-cp313-macosx_10_13_x86_64.whl CPython 3.13 CPython 3.13 macOS 10.13+ x86-64 Details
numpy-2.1.2-cp312-cp312-win_amd64.whl CPython 3.12 CPython 3.12 Windows x86-64 Details
numpy-2.1.2-cp312-cp312-win32.whl CPython 3.12 CPython 3.12 Windows x86-32 Details
numpy-2.1.2-cp312-cp312-musllinux_1_2_aarch64.whl CPython 3.12 CPython 3.12 Linux musl 1.2+ ARM64 Details
numpy-2.1.2-cp312-cp312-musllinux_1_1_x86_64.whl CPython 3.12 CPython 3.12 Linux musl 1.1+ x86-64 Details
numpy-2.1.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.12 CPython 3.12 Linux glibc 2.17+ x86-64 Details
numpy-2.1.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.12 CPython 3.12 Linux glibc 2.17+ ARM64 Details
numpy-2.1.2-cp312-cp312-macosx_14_0_x86_64.whl CPython 3.12 CPython 3.12 macOS 14.0+ x86-64 Details
numpy-2.1.2-cp312-cp312-macosx_14_0_arm64.whl CPython 3.12 CPython 3.12 macOS 14.0+ ARM64 Details
numpy-2.1.2-cp312-cp312-macosx_11_0_arm64.whl CPython 3.12 CPython 3.12 macOS 11.0+ ARM64 Details
numpy-2.1.2-cp312-cp312-macosx_10_13_x86_64.whl CPython 3.12 CPython 3.12 macOS 10.13+ x86-64 Details
numpy-2.1.2-cp311-cp311-win_amd64.whl CPython 3.11 CPython 3.11 Windows x86-64 Details
numpy-2.1.2-cp311-cp311-win32.whl CPython 3.11 CPython 3.11 Windows x86-32 Details
numpy-2.1.2-cp311-cp311-musllinux_1_2_aarch64.whl CPython 3.11 CPython 3.11 Linux musl 1.2+ ARM64 Details
numpy-2.1.2-cp311-cp311-musllinux_1_1_x86_64.whl CPython 3.11 CPython 3.11 Linux musl 1.1+ x86-64 Details
numpy-2.1.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.17+ x86-64 Details
numpy-2.1.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.11 CPython 3.11 Linux glibc 2.17+ ARM64 Details
numpy-2.1.2-cp311-cp311-macosx_14_0_x86_64.whl CPython 3.11 CPython 3.11 macOS 14.0+ x86-64 Details
numpy-2.1.2-cp311-cp311-macosx_14_0_arm64.whl CPython 3.11 CPython 3.11 macOS 14.0+ ARM64 Details
numpy-2.1.2-cp311-cp311-macosx_11_0_arm64.whl CPython 3.11 CPython 3.11 macOS 11.0+ ARM64 Details
numpy-2.1.2-cp311-cp311-macosx_10_9_x86_64.whl CPython 3.11 CPython 3.11 macOS 10.9+ x86-64 Details
numpy-2.1.2-cp310-cp310-win_amd64.whl CPython 3.10 CPython 3.10 Windows x86-64 Details
numpy-2.1.2-cp310-cp310-win32.whl CPython 3.10 CPython 3.10 Windows x86-32 Details
numpy-2.1.2-cp310-cp310-musllinux_1_2_aarch64.whl CPython 3.10 CPython 3.10 Linux musl 1.2+ ARM64 Details
numpy-2.1.2-cp310-cp310-musllinux_1_1_x86_64.whl CPython 3.10 CPython 3.10 Linux musl 1.1+ x86-64 Details
numpy-2.1.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ x86-64 Details
numpy-2.1.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ ARM64 Details
numpy-2.1.2-cp310-cp310-macosx_14_0_x86_64.whl CPython 3.10 CPython 3.10 macOS 14.0+ x86-64 Details
numpy-2.1.2-cp310-cp310-macosx_14_0_arm64.whl CPython 3.10 CPython 3.10 macOS 14.0+ ARM64 Details
numpy-2.1.2-cp310-cp310-macosx_11_0_arm64.whl CPython 3.10 CPython 3.10 macOS 11.0+ ARM64 Details
numpy-2.1.2-cp310-cp310-macosx_10_9_x86_64.whl CPython 3.10 CPython 3.10 macOS 10.9+ x86-64 Details

Total release size: 687.5 MB

Release files / numpy-2.1.2.tar.gz

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2.5.0

44 release files

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72 release files

2.4.5

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2.4.1

72 release files

2.4.0

72 release files

2.3.5

74 release files

2.3.4

74 release files

2.3.2

74 release files

2.3.1

51 release files

2.2.6

55 release files

2.2.5

55 release files

2.2.4

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2.2.3

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2.2.2

55 release files

2.2.1

55 release files

This release

2.1.2 This release

53 release files

2.1.0

52 release files

2.0.2

45 release files

2.0.1

45 release files

2.0.0

45 release files

1.9.3

13 release files

1.8.1

11 release files

1.8.0

8 release files

1.7.2

8 release files

1.7.0

14 release files

1.6.2

12 release files

1.6.1

12 release files

1.6.0

12 release files

1.5.1

6 release files

1.5.0

2 release files

1.4.1

1 release file

1.4.0

1.3.0

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1.2.1

1.2.0

1.1.1

1.0.4

1.0.3

1.0

1 release file

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1.0b1

0.9.8

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