Fundamental package for array computing in Python

Navigation

Verified details

These details have been verified by PyPI
Owner
Maintainers
Avatar for charlesr.harris from gravatar.com charlesr.harris Avatar for mattip from gravatar.com mattip

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers
Report project as malware

Project description


Powered by NumFOCUS PyPI Downloads Conda Downloads Stack Overflow Nature Paper LFX Health Score OpenSSF Scorecard Typing

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.

Project details

Verified details

These details have been verified by PyPI
Owner
Maintainers
Avatar for charlesr.harris from gravatar.com charlesr.harris Avatar for mattip from gravatar.com mattip

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

2.4.1

2.4.0 yanked

Reason this release was yanked:

Backward compatibility bug
This version

2.4.0rc1 pre-release

2.3.5

2.3.4

2.3.3

2.3.2

2.3.1

2.3.0

2.2.6

2.2.5

2.2.4

2.2.3

2.2.2

2.2.1

2.2.0

2.1.3

2.1.2

2.1.1

2.1.0

2.0.2

2.0.1

2.0.0

1.26.4

1.26.3

1.26.2

1.26.1

1.26.0

1.25.2

1.25.1

1.25.0

1.24.4

1.24.3

1.24.2

1.24.1

1.24.0

1.23.5

1.23.4

1.23.3

1.23.2

1.23.1

1.23.0

1.22.4

1.22.3

1.22.2

1.22.1

1.22.0

1.21.6

1.21.5

1.21.4

1.21.3

1.21.2

1.21.1

1.21.0

1.20.3

1.20.2

1.20.1

1.20.0

1.19.5

1.19.4

1.19.3

1.19.2

1.19.1

1.19.0

1.18.5

1.18.4

1.18.3

1.18.2

1.18.1

1.18.0

1.17.5

1.17.4

1.17.3

1.17.2

1.17.1

1.17.0

1.16.6

1.16.5

1.16.4

1.16.3

1.16.2

1.16.1

1.16.0

1.15.4

1.15.3

1.15.2

1.15.1

1.15.0

1.14.6

1.14.5

1.14.4

1.14.3

1.14.2

1.14.1

1.14.0

1.13.3

1.13.1

1.13.0

1.12.1

1.12.0

1.11.3

1.11.2

1.11.1

1.11.0

1.10.4

1.10.3

1.10.2

1.10.1

1.10.0

1.9.3

1.9.2

1.9.1

1.9.0

1.8.2

1.8.1

1.8.0

1.7.2

1.7.1

1.7.0

1.6.2

1.6.1

1.6.0

1.5.1

1.5.0

1.4.1

1.4.0

1.3.0

1.2.1

1.2.0

1.1.1

1.0.4

1.0.3

1.0

1.0rc3 pre-release

1.0rc2 pre-release

1.0rc1 pre-release

1.0b5 pre-release

1.0b4 pre-release

1.0b1 pre-release

0.9.8

0.9.6

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

numpy-2.4.0rc1.tar.gz (20.7 MB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

numpy-2.4.0rc1-pp311-pypy311_pp73-win_amd64.whl (12.5 MB view details)

Uploaded PyPyWindows x86-64

numpy-2.4.0rc1-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (16.5 MB view details)

Uploaded PyPymanylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

numpy-2.4.0rc1-pp311-pypy311_pp73-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl (14.5 MB view details)

Uploaded PyPymanylinux: glibc 2.27+ ARM64manylinux: glibc 2.28+ ARM64

numpy-2.4.0rc1-pp311-pypy311_pp73-macosx_14_0_x86_64.whl (6.7 MB view details)

Uploaded PyPymacOS 14.0+ x86-64

numpy-2.4.0rc1-pp311-pypy311_pp73-macosx_14_0_arm64.whl (5.4 MB view details)

Uploaded PyPymacOS 14.0+ ARM64

numpy-2.4.0rc1-pp311-pypy311_pp73-macosx_11_0_arm64.whl (12.6 MB view details)

Uploaded PyPymacOS 11.0+ ARM64

numpy-2.4.0rc1-pp311-pypy311_pp73-macosx_10_15_x86_64.whl (16.8 MB view details)

Uploaded PyPymacOS 10.15+ x86-64

numpy-2.4.0rc1-cp314-cp314t-win_arm64.whl (10.7 MB view details)

Uploaded CPython 3.14tWindows ARM64

numpy-2.4.0rc1-cp314-cp314t-win_amd64.whl (12.6 MB view details)

Uploaded CPython 3.14tWindows x86-64

numpy-2.4.0rc1-cp314-cp314t-win32.whl (6.1 MB view details)

Uploaded CPython 3.14tWindows x86

numpy-2.4.0rc1-cp314-cp314t-musllinux_1_2_x86_64.whl (18.3 MB view details)

Uploaded CPython 3.14tmusllinux: musl 1.2+ x86-64

numpy-2.4.0rc1-cp314-cp314t-musllinux_1_2_aarch64.whl (16.2 MB view details)

Uploaded CPython 3.14tmusllinux: musl 1.2+ ARM64

numpy-2.4.0rc1-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (16.4 MB view details)

Uploaded CPython 3.14tmanylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

numpy-2.4.0rc1-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl (14.4 MB view details)

Uploaded CPython 3.14tmanylinux: glibc 2.27+ ARM64manylinux: glibc 2.28+ ARM64

numpy-2.4.0rc1-cp314-cp314t-macosx_14_0_x86_64.whl (6.6 MB view details)

Uploaded CPython 3.14tmacOS 14.0+ x86-64

numpy-2.4.0rc1-cp314-cp314t-macosx_14_0_arm64.whl (5.3 MB view details)

Uploaded CPython 3.14tmacOS 14.0+ ARM64

numpy-2.4.0rc1-cp314-cp314t-macosx_11_0_arm64.whl (12.5 MB view details)

Uploaded CPython 3.14tmacOS 11.0+ ARM64

numpy-2.4.0rc1-cp314-cp314-win_arm64.whl (10.6 MB view details)

Uploaded CPython 3.14Windows ARM64

numpy-2.4.0rc1-cp314-cp314-win_amd64.whl (12.4 MB view details)

Uploaded CPython 3.14Windows x86-64

numpy-2.4.0rc1-cp314-cp314-win32.whl (6.0 MB view details)

Uploaded CPython 3.14Windows x86

numpy-2.4.0rc1-cp314-cp314-musllinux_1_2_x86_64.whl (18.3 MB view details)

Uploaded CPython 3.14musllinux: musl 1.2+ x86-64

numpy-2.4.0rc1-cp314-cp314-musllinux_1_2_aarch64.whl (16.2 MB view details)

Uploaded CPython 3.14musllinux: musl 1.2+ ARM64

numpy-2.4.0rc1-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (16.3 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

numpy-2.4.0rc1-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl (14.4 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.27+ ARM64manylinux: glibc 2.28+ ARM64

numpy-2.4.0rc1-cp314-cp314-macosx_14_0_x86_64.whl (6.5 MB view details)

Uploaded CPython 3.14macOS 14.0+ x86-64

numpy-2.4.0rc1-cp314-cp314-macosx_14_0_arm64.whl (5.2 MB view details)

Uploaded CPython 3.14macOS 14.0+ ARM64

numpy-2.4.0rc1-cp314-cp314-macosx_11_0_arm64.whl (12.4 MB view details)

Uploaded CPython 3.14macOS 11.0+ ARM64

numpy-2.4.0rc1-cp314-cp314-macosx_10_15_x86_64.whl (16.6 MB view details)

Uploaded CPython 3.14macOS 10.15+ x86-64

numpy-2.4.0rc1-cp313-cp313t-win_arm64.whl (10.4 MB view details)

Uploaded CPython 3.13tWindows ARM64

numpy-2.4.0rc1-cp313-cp313t-win_amd64.whl (12.4 MB view details)

Uploaded CPython 3.13tWindows x86-64

numpy-2.4.0rc1-cp313-cp313t-win32.whl (6.1 MB view details)

Uploaded CPython 3.13tWindows x86

numpy-2.4.0rc1-cp313-cp313t-musllinux_1_2_x86_64.whl (18.3 MB view details)

Uploaded CPython 3.13tmusllinux: musl 1.2+ x86-64

numpy-2.4.0rc1-cp313-cp313t-musllinux_1_2_aarch64.whl (16.2 MB view details)

Uploaded CPython 3.13tmusllinux: musl 1.2+ ARM64

numpy-2.4.0rc1-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (16.4 MB view details)

Uploaded CPython 3.13tmanylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

numpy-2.4.0rc1-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl (14.4 MB view details)

Uploaded CPython 3.13tmanylinux: glibc 2.27+ ARM64manylinux: glibc 2.28+ ARM64

numpy-2.4.0rc1-cp313-cp313t-macosx_14_0_x86_64.whl (6.6 MB view details)

Uploaded CPython 3.13tmacOS 14.0+ x86-64

numpy-2.4.0rc1-cp313-cp313t-macosx_14_0_arm64.whl (5.3 MB view details)

Uploaded CPython 3.13tmacOS 14.0+ ARM64

numpy-2.4.0rc1-cp313-cp313t-macosx_11_0_arm64.whl (12.5 MB view details)

Uploaded CPython 3.13tmacOS 11.0+ ARM64

numpy-2.4.0rc1-cp313-cp313-win_arm64.whl (10.3 MB view details)

Uploaded CPython 3.13Windows ARM64

numpy-2.4.0rc1-cp313-cp313-win_amd64.whl (12.3 MB view details)

Uploaded CPython 3.13Windows x86-64

numpy-2.4.0rc1-cp313-cp313-win32.whl (5.9 MB view details)

Uploaded CPython 3.13Windows x86

numpy-2.4.0rc1-cp313-cp313-musllinux_1_2_x86_64.whl (18.3 MB view details)

Uploaded CPython 3.13musllinux: musl 1.2+ x86-64

numpy-2.4.0rc1-cp313-cp313-musllinux_1_2_aarch64.whl (16.2 MB view details)

Uploaded CPython 3.13musllinux: musl 1.2+ ARM64

numpy-2.4.0rc1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (16.3 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

numpy-2.4.0rc1-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl (14.4 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.27+ ARM64manylinux: glibc 2.28+ ARM64

numpy-2.4.0rc1-cp313-cp313-macosx_14_0_x86_64.whl (6.5 MB view details)

Uploaded CPython 3.13macOS 14.0+ x86-64

numpy-2.4.0rc1-cp313-cp313-macosx_14_0_arm64.whl (5.2 MB view details)

Uploaded CPython 3.13macOS 14.0+ ARM64

numpy-2.4.0rc1-cp313-cp313-macosx_11_0_arm64.whl (12.4 MB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

numpy-2.4.0rc1-cp313-cp313-macosx_10_13_x86_64.whl (16.6 MB view details)

Uploaded CPython 3.13macOS 10.13+ x86-64

numpy-2.4.0rc1-cp312-cp312-win_arm64.whl (10.3 MB view details)

Uploaded CPython 3.12Windows ARM64

numpy-2.4.0rc1-cp312-cp312-win_amd64.whl (12.3 MB view details)

Uploaded CPython 3.12Windows x86-64

numpy-2.4.0rc1-cp312-cp312-win32.whl (5.9 MB view details)

Uploaded CPython 3.12Windows x86

numpy-2.4.0rc1-cp312-cp312-musllinux_1_2_x86_64.whl (18.3 MB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ x86-64

numpy-2.4.0rc1-cp312-cp312-musllinux_1_2_aarch64.whl (16.2 MB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ ARM64

numpy-2.4.0rc1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (16.4 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

numpy-2.4.0rc1-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl (14.4 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.27+ ARM64manylinux: glibc 2.28+ ARM64

numpy-2.4.0rc1-cp312-cp312-macosx_14_0_x86_64.whl (6.5 MB view details)

Uploaded CPython 3.12macOS 14.0+ x86-64

numpy-2.4.0rc1-cp312-cp312-macosx_14_0_arm64.whl (5.2 MB view details)

Uploaded CPython 3.12macOS 14.0+ ARM64

numpy-2.4.0rc1-cp312-cp312-macosx_11_0_arm64.whl (12.4 MB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

numpy-2.4.0rc1-cp312-cp312-macosx_10_13_x86_64.whl (16.6 MB view details)

Uploaded CPython 3.12macOS 10.13+ x86-64

numpy-2.4.0rc1-cp311-cp311-win_arm64.whl (10.6 MB view details)

Uploaded CPython 3.11Windows ARM64

numpy-2.4.0rc1-cp311-cp311-win_amd64.whl (12.6 MB view details)

Uploaded CPython 3.11Windows x86-64

numpy-2.4.0rc1-cp311-cp311-win32.whl (6.2 MB view details)

Uploaded CPython 3.11Windows x86

numpy-2.4.0rc1-cp311-cp311-musllinux_1_2_x86_64.whl (18.6 MB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ x86-64

numpy-2.4.0rc1-cp311-cp311-musllinux_1_2_aarch64.whl (16.5 MB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ ARM64

numpy-2.4.0rc1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (16.6 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

numpy-2.4.0rc1-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl (14.7 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.27+ ARM64manylinux: glibc 2.28+ ARM64

numpy-2.4.0rc1-cp311-cp311-macosx_14_0_x86_64.whl (6.8 MB view details)

Uploaded CPython 3.11macOS 14.0+ x86-64

numpy-2.4.0rc1-cp311-cp311-macosx_14_0_arm64.whl (5.5 MB view details)

Uploaded CPython 3.11macOS 14.0+ ARM64

numpy-2.4.0rc1-cp311-cp311-macosx_11_0_arm64.whl (12.6 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

numpy-2.4.0rc1-cp311-cp311-macosx_10_9_x86_64.whl (16.9 MB view details)

Uploaded CPython 3.11macOS 10.9+ x86-64

File details

Details for the file numpy-2.4.0rc1.tar.gz.

File metadata

  • Download URL: numpy-2.4.0rc1.tar.gz
  • Upload date:
  • Size: 20.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for numpy-2.4.0rc1.tar.gz
Algorithm Hash digest
SHA256 658096d9a274d5a44ed22f4ccf6ca1e59e098decc0f6040e9ae7d5a932ec3168
MD5 3ab609bf05380d03c3405f7ed283aae0
BLAKE2b-256 12027111f298e24a44d6fa4b75b47d93eccf444e5afbcee5b04aac760ee48935

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1.tar.gz:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-pp311-pypy311_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-pp311-pypy311_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 dbabb52390c9cd769112b703d1f27cc16758b684ab993242ede92e0d15419da0
MD5 6779b7504fcbbff8a961286a4a631bd4
BLAKE2b-256 a14c2854aff0f40cae87613fae81b19ee81b27e8d485246f2e298350c976f27d

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-pp311-pypy311_pp73-win_amd64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 755363a293b16430c7a1d3c9d65b047ea65a8b55e33a403bf689005cb47489cd
MD5 0ba75aefd965d1f19a5099b946f21fc8
BLAKE2b-256 6a68c861646419f5e2f6a56a4cffe4fc5874191f8486d4238bc445830d06f371

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-pp311-pypy311_pp73-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-pp311-pypy311_pp73-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 0eafd0d3a9009cfb314ed23481807f3a910b3b148e2a9d6069b836ae7c12bd7c
MD5 3f7840831e22c4ee31a6c5acd1cce931
BLAKE2b-256 8e677fa15ce5888d46396d998774c17ecaf911d268e03d3621ee9f5b9db36fba

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-pp311-pypy311_pp73-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-pp311-pypy311_pp73-macosx_14_0_x86_64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-pp311-pypy311_pp73-macosx_14_0_x86_64.whl
Algorithm Hash digest
SHA256 4dcfc4f89505ddd3fb965f32365677b492482c211d3725276b5c4f0af60317a5
MD5 534d22b6cd45a76b4348d7e3091243dd
BLAKE2b-256 e520f24e7a7fe1f267cb016efc785c054db2f02c82e784994fe499a750ca1c50

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-pp311-pypy311_pp73-macosx_14_0_x86_64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-pp311-pypy311_pp73-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-pp311-pypy311_pp73-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 86bba6f973102d42eec006997f111e574822da8fc8117015a090e962e7c5e15f
MD5 29e4dab909d69cba3df80f2eb20cef31
BLAKE2b-256 fe8fc2e29d87d5fa9d7793246b21bb43acc58c461d763e37675560fce8351ceb

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-pp311-pypy311_pp73-macosx_14_0_arm64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-pp311-pypy311_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-pp311-pypy311_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a885029df7aa51a63571ec58621f546e7b09449dfa9023c17c6215121ee18fed
MD5 c485c622fff90dffcdc35093ed3e55d7
BLAKE2b-256 63e726fbfa1ad81efadaacc7e6728b22895a8bcffe290b123483de0ae513a5fd

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-pp311-pypy311_pp73-macosx_11_0_arm64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-pp311-pypy311_pp73-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-pp311-pypy311_pp73-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 3397899274c7fd5febc99b03a73cd9ab55d6866d05b0a8f748b0711496d10314
MD5 6a681707b885f4d4bcb0406443b7461c
BLAKE2b-256 a0364a056fc7c38eb8b7d0adc11ee49f7535121845aa34ba20317502c87573bf

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-pp311-pypy311_pp73-macosx_10_15_x86_64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp314-cp314t-win_arm64.whl.

File metadata

  • Download URL: numpy-2.4.0rc1-cp314-cp314t-win_arm64.whl
  • Upload date:
  • Size: 10.7 MB
  • Tags: CPython 3.14t, Windows ARM64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for numpy-2.4.0rc1-cp314-cp314t-win_arm64.whl
Algorithm Hash digest
SHA256 8d545d8e14be6154020e16d5291357a0eac02ac175087e1ba3bed96dd62259c2
MD5 cb09d1b75416bfee15cb08a7a35cb465
BLAKE2b-256 02739eab1f2da6711867efaf85e6a7cc7d337e51c9f65022658f36687c710cda

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp314-cp314t-win_arm64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp314-cp314t-win_amd64.whl.

File metadata

  • Download URL: numpy-2.4.0rc1-cp314-cp314t-win_amd64.whl
  • Upload date:
  • Size: 12.6 MB
  • Tags: CPython 3.14t, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for numpy-2.4.0rc1-cp314-cp314t-win_amd64.whl
Algorithm Hash digest
SHA256 5b01cb0d1ee25acb05e38ae04133032f6e9512b40b53e549b2307d8ba8991587
MD5 39435f78e19258bcb6d96b55999b183e
BLAKE2b-256 a124cabc7a43cd4fe9cdcc373fd218ce31f72e4ebf2f5f6cccbb02b112751fcb

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp314-cp314t-win_amd64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp314-cp314t-win32.whl.

File metadata

  • Download URL: numpy-2.4.0rc1-cp314-cp314t-win32.whl
  • Upload date:
  • Size: 6.1 MB
  • Tags: CPython 3.14t, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for numpy-2.4.0rc1-cp314-cp314t-win32.whl
Algorithm Hash digest
SHA256 f1e06eecabca065fd463baca6f43165e0986e247a4e8f27906c1965b02a4b7fc
MD5 896b4fcfee4096238cdc530a48246cb2
BLAKE2b-256 797e2914367b16bf676199cca8e290b7cabe01e1d8fd4686d0bebeb39db7c278

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp314-cp314t-win32.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp314-cp314t-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp314-cp314t-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 3e30dbed5b39b89c4ad3d2e2711e87bf4970595ded154f34212f4ac01fdac7ac
MD5 d5414226eea78efb1927e8c19c915157
BLAKE2b-256 bea18f85615d9272448d8d3e631a18a227d7529dd6dca6d7bb2d14c67227910a

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp314-cp314t-musllinux_1_2_x86_64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp314-cp314t-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp314-cp314t-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 c91254f95d055ebb7179b8e80702afc2fe1951e3ec16ddaefeeff3a3b8d52fd8
MD5 dfa33d94702be2a98d138271714cee7c
BLAKE2b-256 adaf50c6c2f608b56037e2bc0db785a10284069662c65f5cb2721317af82eb85

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp314-cp314t-musllinux_1_2_aarch64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 b7979700a608ea513a8eebe179032f15cde080c006aa13e0a3a1a2ed43ee88c0
MD5 dff08d59b2ff3bfa6b9ee9664c208a26
BLAKE2b-256 e6c7b897e0bbd54f3c78396158d7d4f1017ef8dce5a73c5f41f086004c25334c

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 2516c6fd074d8f918df42865f90f0e171a03f5f347dce0045e3039e982b56746
MD5 e6b89c4620c52a3da46619dc36dcdfe0
BLAKE2b-256 d824b85ecafd297601cf4bccfdc128ada16b44ac84ea9ca69a3dbe1fc746699a

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp314-cp314t-macosx_14_0_x86_64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp314-cp314t-macosx_14_0_x86_64.whl
Algorithm Hash digest
SHA256 b7334e923daaefc52e79f5a90d5e38d9f4fb9160731ce44b8e340b2865cc6b72
MD5 fe0ad0c5bbe1a9b814160692a0c03852
BLAKE2b-256 5341ed1cd52dc5488b0c897b273ca9e95e0542a6c40859f5dd52fe4701d2da6f

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp314-cp314t-macosx_14_0_x86_64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp314-cp314t-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp314-cp314t-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 ef83742ebf81513d86f828a7965b62be6a2500bd53afec174facf4573ac7ece6
MD5 9e0ea2cfb5fc4ae321ecf488dfb28f66
BLAKE2b-256 a76a7d5e79a2c9196f2d02409c89a4c0979b7960095a1315666010f25039e1bb

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp314-cp314t-macosx_14_0_arm64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp314-cp314t-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp314-cp314t-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f78c059e33ae8250073008f8bf6308cebeda8ecf8bfe33ddcc9bbc9c48033176
MD5 18cf9e78ff6c3f6e78b68a842c247f0e
BLAKE2b-256 d645fcc031873c03935e1af9db8963c398513aa41a308521d4f42d4245ab8f35

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp314-cp314t-macosx_11_0_arm64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp314-cp314-win_arm64.whl.

File metadata

  • Download URL: numpy-2.4.0rc1-cp314-cp314-win_arm64.whl
  • Upload date:
  • Size: 10.6 MB
  • Tags: CPython 3.14, Windows ARM64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for numpy-2.4.0rc1-cp314-cp314-win_arm64.whl
Algorithm Hash digest
SHA256 b40c5f214dc82c30aebf2c2afc7f5db7bc34e94c5fd8968d3bec2fc0fe57ddba
MD5 ae742bcb7f2c7722f2e8a926aabe83cb
BLAKE2b-256 c0df8288bfe6333172a3eb27d553dcf82e42e8c0080cfbf21a40d14563bbd5f0

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp314-cp314-win_arm64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp314-cp314-win_amd64.whl.

File metadata

  • Download URL: numpy-2.4.0rc1-cp314-cp314-win_amd64.whl
  • Upload date:
  • Size: 12.4 MB
  • Tags: CPython 3.14, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for numpy-2.4.0rc1-cp314-cp314-win_amd64.whl
Algorithm Hash digest
SHA256 38ce77a98415321db6a0246d63d35bd713d5bf0755dab398563c64bb1340e7f8
MD5 e12aa828796da552cd73edc966342a33
BLAKE2b-256 6a9cbb6f40c1446a96cd92deb2dab6dc0f9b91072ee357d43dae1cc09e56b35e

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp314-cp314-win_amd64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp314-cp314-win32.whl.

File metadata

  • Download URL: numpy-2.4.0rc1-cp314-cp314-win32.whl
  • Upload date:
  • Size: 6.0 MB
  • Tags: CPython 3.14, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for numpy-2.4.0rc1-cp314-cp314-win32.whl
Algorithm Hash digest
SHA256 b2e9448f43f90b68b81e42769fffd459e7ea691e865e9b04fae2e4c9af21425b
MD5 9cf8a97ea17250f1180716d24fb96827
BLAKE2b-256 a5ae3c1ab0a64dd23edfdbd6e3d57fe5970c0f3d225ceee508f912b80b3b356c

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp314-cp314-win32.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp314-cp314-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp314-cp314-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 1ebb32ff988bacdbd4ed750ee3276af56b66cd49ddb38ad7ef0b115620433151
MD5 1610abf2e06ae8d3b41924ff730e62cb
BLAKE2b-256 63861761f146e126405950346149f3a7f0fac7b2118f628de8507c73cb6aa395

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp314-cp314-musllinux_1_2_x86_64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp314-cp314-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp314-cp314-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 691277069c338e252a6d227ec6fd2a3eb719e5e0fa3911d66d55531100c05cb2
MD5 655d6ae4abc646706aeb431effc147b9
BLAKE2b-256 c7013744d1782d08533bb4df52cf1b62b9f9127e45b9edbdd547c42b5695f7c1

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp314-cp314-musllinux_1_2_aarch64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 f99929c52034913812d4afbc7e9accc040ce0278e2eed265dddd2b7aacd33104
MD5 addc7904674d0c4226db471a3d471b6b
BLAKE2b-256 5307beef317c511e49c594560e65f351d07e5a350d02e74bf5763f4e426d4126

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 1964b59d2cf217576e7114d70b2cae8068f2199533f48455e10932ea368884ae
MD5 22d3d1550ef3ef466d8a1d6a06bd242c
BLAKE2b-256 711966a8a3048eb38f1017c774d1d7f4dd648fab5b74cc6c61601fb2937dc93c

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp314-cp314-macosx_14_0_x86_64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp314-cp314-macosx_14_0_x86_64.whl
Algorithm Hash digest
SHA256 b792e9c2286b733c74b6c6fc0ed9fba67961f0ee3730295a9bf0f3560bcab0c5
MD5 9ae8df678e3b0315fd16894ada0690dc
BLAKE2b-256 4f76215ffb3d4b018de8441dd262c2b599913148c2507b133304bb33da6d4c2d

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp314-cp314-macosx_14_0_x86_64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp314-cp314-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp314-cp314-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 5dce8f683e189ef4b68cbee526abcbf16aa78ad8f7001ab28ed424f6bd4efa63
MD5 ade47d95426fda6a3d71d3639155762c
BLAKE2b-256 8278a8eaccc7dcf59c0725e10491e71f2c5cb6bc4828850adb9ff6679e094861

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp314-cp314-macosx_14_0_arm64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp314-cp314-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp314-cp314-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 d3508a29ca41f3a94119aef2e4fe37e5490134cc52bc2740020104a7c5cd59cf
MD5 dfdbcc8bc92eb4dde033ad711fafd3a1
BLAKE2b-256 a2d101ec600caef2d0cf534f9faaf06fac245d60a9812f710e643ae8f750e4db

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp314-cp314-macosx_11_0_arm64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp314-cp314-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp314-cp314-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 21d5aa26cf7b55b07c21de3ec2da02918ed5f11b12dc15a7fa8bf8052cca2aa4
MD5 c70097c0e8cbc7dd23280b50ec6d5abb
BLAKE2b-256 00bd5451d6d075ceafecfcda477ee6f2ee4a8301d7e010688cf7ffd4ec1688ee

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp314-cp314-macosx_10_15_x86_64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp313-cp313t-win_arm64.whl.

File metadata

  • Download URL: numpy-2.4.0rc1-cp313-cp313t-win_arm64.whl
  • Upload date:
  • Size: 10.4 MB
  • Tags: CPython 3.13t, Windows ARM64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for numpy-2.4.0rc1-cp313-cp313t-win_arm64.whl
Algorithm Hash digest
SHA256 5c0e79ddc10efd2f7861f87993fe919479bfd4f367071c967219e2f4ca65f619
MD5 64605f72906c0af16bc40666d07191a5
BLAKE2b-256 9b84c931436bec19b8f822400a0731ed6e12da7da7fb4fe9823a6aca9ddfacd1

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp313-cp313t-win_arm64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp313-cp313t-win_amd64.whl.

File metadata

  • Download URL: numpy-2.4.0rc1-cp313-cp313t-win_amd64.whl
  • Upload date:
  • Size: 12.4 MB
  • Tags: CPython 3.13t, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for numpy-2.4.0rc1-cp313-cp313t-win_amd64.whl
Algorithm Hash digest
SHA256 609267fd37f35213f768e63cb1a5cd504aaf499fdd95948e4a9ce2b515ca275a
MD5 a1d0168295f3b61f97fd8078b8135806
BLAKE2b-256 080bbbfa34ae1638a71f001b01424411c18b677361458ae3512d2b882a5aa92e

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp313-cp313t-win_amd64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp313-cp313t-win32.whl.

File metadata

  • Download URL: numpy-2.4.0rc1-cp313-cp313t-win32.whl
  • Upload date:
  • Size: 6.1 MB
  • Tags: CPython 3.13t, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for numpy-2.4.0rc1-cp313-cp313t-win32.whl
Algorithm Hash digest
SHA256 f572891a092f039cb3a05ba406c36c0c34e007215c10c5173716890c17b573d6
MD5 913c7f16848a72b356cc076f006d446b
BLAKE2b-256 3eb57a1656daa5fcaa46a26c0209f8263bc8ad5e094dfd5f52a524aed111c289

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp313-cp313t-win32.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp313-cp313t-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp313-cp313t-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 97435122709de883f7c755e406672f2866ba4f50e026578ff82690257d0a8a63
MD5 5ac9df730d0914a67702cc32799780a4
BLAKE2b-256 ad199fb16271746a7207d3719e19b5630a0f0bc773783c1710095778cbf79cc5

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp313-cp313t-musllinux_1_2_x86_64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp313-cp313t-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp313-cp313t-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 cb8dfda8d8b5ba49b5075fcb15e5a51c1d05477245992515ede5d48626eb67f4
MD5 bed97682d92da0cbe4c5b0920f03bdf5
BLAKE2b-256 4c02e382e4021cb15d99bd258ed0da5160a099dbd59d37d160b11d0e74064569

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp313-cp313t-musllinux_1_2_aarch64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 6193b4f0f76962192ab2c2ce40f44dba0a03cc4ca91277477e008ca541253343
MD5 c1a62d17f64802d0384a810502c638d4
BLAKE2b-256 b28e61d85583e71232f0f3ea1d100009b363d19a9d7c0c5228574d14cfd24917

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 8c415aefd32b8a65290aaa9aaa4a3b57aecccbaad49fee8255600f540fd9a5f3
MD5 2ae24ca74cc523b96ece468570d8a1b2
BLAKE2b-256 b34114be24bab8dcb6c7f6442b6875ed9fa5a0853a5545777bc19f3548f11dc6

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp313-cp313t-macosx_14_0_x86_64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp313-cp313t-macosx_14_0_x86_64.whl
Algorithm Hash digest
SHA256 bd507b87900207f1e6727ecd1b50086f6dcc245ec22960c9a1f675a2c4225d2a
MD5 650b9be3b4647abad7d3d89207301d93
BLAKE2b-256 cee1113512894eaf795e76bd0302dc229f5e8683cee8d09dc6bb786402934046

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp313-cp313t-macosx_14_0_x86_64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp313-cp313t-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp313-cp313t-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 596864bdbfd9ba313925c22150956a5b0df1ac64ecdd0ad4fab45b72f11cb798
MD5 3e9191f2804e71bed4d67e66e05f7067
BLAKE2b-256 b0d37efd816805b8367f8b969588393f60ff2b18a89d7c87d190cffe6ecab850

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp313-cp313t-macosx_14_0_arm64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp313-cp313t-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp313-cp313t-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 144cf44f058b1edebba7ebdc2a078bf87eeaf2b2c6a9fcf81bb65b7ecb2e2f11
MD5 ca14ca3340c2969d4c3139a58da256c8
BLAKE2b-256 106163088d9f9490be7a94815edc1f984542a7919ab5eea71fcb85f00e82568a

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp313-cp313t-macosx_11_0_arm64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp313-cp313-win_arm64.whl.

File metadata

  • Download URL: numpy-2.4.0rc1-cp313-cp313-win_arm64.whl
  • Upload date:
  • Size: 10.3 MB
  • Tags: CPython 3.13, Windows ARM64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for numpy-2.4.0rc1-cp313-cp313-win_arm64.whl
Algorithm Hash digest
SHA256 e9b4034d18e4648c86266580baf9629b8263a9bc9b63190eb4e5e164df55896c
MD5 2a072a011a20f96cbab18f8c187c956e
BLAKE2b-256 06b515e6af077a934afae1f87fa4523ab6804302b31e2eb1d3a6df44560200e5

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp313-cp313-win_arm64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: numpy-2.4.0rc1-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 12.3 MB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for numpy-2.4.0rc1-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 4651b39283e2f760bd54053a053ca810351724a3834a9460ea63351c99eac7db
MD5 a7fdac5e47ad285ac4a1c848d2f9119d
BLAKE2b-256 0076da0c2d886a35b72d7c6ac4aeecb680826cc2acd97eb7aa93c8bb798358e3

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp313-cp313-win_amd64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp313-cp313-win32.whl.

File metadata

  • Download URL: numpy-2.4.0rc1-cp313-cp313-win32.whl
  • Upload date:
  • Size: 5.9 MB
  • Tags: CPython 3.13, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for numpy-2.4.0rc1-cp313-cp313-win32.whl
Algorithm Hash digest
SHA256 04ca8d6504ddd0d7654569917666ec70273c101b133b828bd7740a8e7240dafa
MD5 ce57a37b70a7d6559fc51170682391a2
BLAKE2b-256 61f9130ee1537e79a1485c09a1264064c3a1a37b7fb82b0a79cac73c31600169

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp313-cp313-win32.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp313-cp313-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp313-cp313-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 57431c2031ceb5c76583d0c11b90774dd691bfb43cae3bcb6ac22a24dc8f70f4
MD5 6336a94e91975be6ee453d3cb03e89f1
BLAKE2b-256 47bb1c8520aeebdc041138ff46ec48f13d53135fe56a2a1776364fe75fd323a9

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp313-cp313-musllinux_1_2_x86_64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp313-cp313-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp313-cp313-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 1df8f22fe2431d5c8bb6898cfd06fa606436372cc0201e25ce3a957da9156b58
MD5 466b1cd72b38a97bf4330cfb93e846ec
BLAKE2b-256 de44635bc4835aa836e7c0aa0479d9b5d58d04e47fd1dfef26f3dab8d7054908

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp313-cp313-musllinux_1_2_aarch64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 ac4958403d9a2491edf4e93e1a411c9d0a2a3eb76cba423fae36a9c8668ae1cf
MD5 d11cf061dfdd03c064906ef407a43aa5
BLAKE2b-256 e1df888f52bf928c4ca3630e7b642d816d5501ef9b0f709dcd55977554cca38d

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 41f91badcbb62107e09dda1803a63bcab407556178ac639cc22f39b7c62c0a55
MD5 40a156c4490b5755bdb98b3c758cb9e7
BLAKE2b-256 ec242010150a9e7db14e2cc573f3657208f475ac1674c5858aca7a10eb9e89f0

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp313-cp313-macosx_14_0_x86_64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp313-cp313-macosx_14_0_x86_64.whl
Algorithm Hash digest
SHA256 d82051d8554bf849fcea59b24d3e92a7f0b85464efaa29f3ec9c9ca7c11daafa
MD5 7494f8bf4d33852b8efd73b009f1085d
BLAKE2b-256 ad39db3fb3de602c0e420822dadff19e31f006c12d8bc8c975f0bb111759292c

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp313-cp313-macosx_14_0_x86_64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp313-cp313-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp313-cp313-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 ad8f000e46f0c88a4df046df920ca008801e4554bb16426a4f7c2dc466420778
MD5 9d95e0e5326f08658cf39b522045f4fe
BLAKE2b-256 b607306312f7ea6b161740367deba79259d26772e408bf7cd6d510fd349b37b1

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp313-cp313-macosx_14_0_arm64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 00a856bf8117e9a580bb0d2c260a3d9938274df2708bddcff15f2e954a00279b
MD5 e2a5ae0f6160b80aae04b977fc73ca0a
BLAKE2b-256 2cfbd0b6aa2cdf7c78049c751920f4c8769260b7694974b75e6571a6140ac813

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp313-cp313-macosx_11_0_arm64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp313-cp313-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp313-cp313-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 bc64da3a68014b760f34186e7ce80be8f13cb4324e61be7bdea23679a206b709
MD5 f5cdefcef28756d56a5eb87b9b778e14
BLAKE2b-256 4c7c41d31f73c1df613fa7c7c0c5745eeb01065a3c59163de37011d25ad9f529

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp313-cp313-macosx_10_13_x86_64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp312-cp312-win_arm64.whl.

File metadata

  • Download URL: numpy-2.4.0rc1-cp312-cp312-win_arm64.whl
  • Upload date:
  • Size: 10.3 MB
  • Tags: CPython 3.12, Windows ARM64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for numpy-2.4.0rc1-cp312-cp312-win_arm64.whl
Algorithm Hash digest
SHA256 f2fce635f39ff097c2b91227a3f791f1004f0da16f44f01a0a090d107f083292
MD5 dc307be10051b2e47e42cbcdf00545de
BLAKE2b-256 02784efd7ab4f4601f04d64654988ab8a2b3bb140228aeff6c36a065edbe439d

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp312-cp312-win_arm64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: numpy-2.4.0rc1-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 12.3 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for numpy-2.4.0rc1-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 b285b666db206ae1d9e5e8723b2edac0edb9430ef1d96d2257318ec1003c18bf
MD5 33957e0e876284bc8680d53c1f0cd045
BLAKE2b-256 f56094a5d84951197d51a73146cf5274a89ede10748e4e85581478eb74ce92d8

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp312-cp312-win_amd64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp312-cp312-win32.whl.

File metadata

  • Download URL: numpy-2.4.0rc1-cp312-cp312-win32.whl
  • Upload date:
  • Size: 5.9 MB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for numpy-2.4.0rc1-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 fa6b316ac0f59a821b3782739e8b46be5525d140caf2c294231194d641527aa0
MD5 7c1302775def0decb04d2db7d1fd767b
BLAKE2b-256 9a28e10e76aec9a4d7cc21aca6ce9a63e42c703ea213f82e0e7d11ca97ee31d5

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp312-cp312-win32.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 3eac96274179620fcc66d60d75c077e19a05ebf99ae37c2b9bde54b81c8117a8
MD5 7b54e465ea2a1a3c52140fb1e31d1c26
BLAKE2b-256 107eb74f785085d5f53d7e5861808043b4e8e48183d6c19d087b23df550060b5

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp312-cp312-musllinux_1_2_x86_64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp312-cp312-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp312-cp312-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 25b97f898c0f82583f53539fff7c01c8bc2e96639ca46ca27e2f3d7fe3f19ab7
MD5 b354f240ab4e92a05a72a0262ffee25e
BLAKE2b-256 b15720359fde38a44d0a947a4b395e50ea4b669a227a9b5750e89c6601d42e54

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp312-cp312-musllinux_1_2_aarch64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 ee7d9d15169f1a1e29f0c329bf0b473b7ce411d4342b53f6b93839af466a9414
MD5 ddb78bf28a61c73338dc5bb9dc254eb4
BLAKE2b-256 c49bcff534fb3fa1ec837ce406b77f4a6394a72d349466435f4ada3cbdae3828

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 a8cb2ccfe2804876a23739a9fc058cbcf1ed381e0689e484986f81c258ced218
MD5 343d3fce00d81c207c77b8a2652e65f8
BLAKE2b-256 25da163686da6372bcfeeae3db0aeafec8c74959fe6b9cb421b06b214b4dfa9f

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp312-cp312-macosx_14_0_x86_64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp312-cp312-macosx_14_0_x86_64.whl
Algorithm Hash digest
SHA256 8098595bf07105cb68192ab70f7ad849f4bdd70c77cf18a62c2f960376edc205
MD5 a8266b7866ad520f3e8725bb70fa0105
BLAKE2b-256 b882da86e6376228c5a981f9f5525f9a9c9c201be6631487be3dc1be9786d9e2

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp312-cp312-macosx_14_0_x86_64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp312-cp312-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp312-cp312-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 eaae6a2be9a8c198c275d1d6f4211b938fa3e2208eebb9c6c899165b2a64dc89
MD5 b5b62cfc47071882f15a92aa30a2bd0c
BLAKE2b-256 22c2f87d15284036480545678b9d891df2cb937160bf10a3616c5e91ba181f76

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp312-cp312-macosx_14_0_arm64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 e31b48b3ec774929f19eb63f58743a7c2d228e560e26fd8c816e6f593d12f5dd
MD5 efb79b5914c8430b5c5b81136b259353
BLAKE2b-256 316917d12c7e242b8253c4f64fd65efc9222e2cd05af9cc96dbb72047cdf42c3

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp312-cp312-macosx_11_0_arm64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp312-cp312-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp312-cp312-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 b49952d8a78b7232f532b17748902a50a1c964d0aad9cef23d2399469abcc5ec
MD5 6baa00b77d9390234d29fe13e26152ef
BLAKE2b-256 c5bcb30b9f396e865dd71de0a3e9a46a85cba7d10a5cce176037b5ca12f475c2

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp312-cp312-macosx_10_13_x86_64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp311-cp311-win_arm64.whl.

File metadata

  • Download URL: numpy-2.4.0rc1-cp311-cp311-win_arm64.whl
  • Upload date:
  • Size: 10.6 MB
  • Tags: CPython 3.11, Windows ARM64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for numpy-2.4.0rc1-cp311-cp311-win_arm64.whl
Algorithm Hash digest
SHA256 9418a8d08bd7a7175e7eaa1f16683db8645950478e1a7a01ac19a86620904f3d
MD5 7ab3e0788a125c18075144a5a8f97204
BLAKE2b-256 65a03826844398408635a7bd00a631a647a3b1c3bbd4e1f4dae10d2b7d36e101

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp311-cp311-win_arm64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: numpy-2.4.0rc1-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 12.6 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for numpy-2.4.0rc1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 4dc039fc156bca9c93f17f0c5762ab75cb54f3c54c2acbf28e3aa6900d003ba6
MD5 0ea9b31f2020e9b2aaa86757b02b8559
BLAKE2b-256 273faa711b1a55418f0093b0b611cbe72aac67f79c0dfe9bab76a9e63a0ad31b

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp311-cp311-win_amd64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp311-cp311-win32.whl.

File metadata

  • Download URL: numpy-2.4.0rc1-cp311-cp311-win32.whl
  • Upload date:
  • Size: 6.2 MB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for numpy-2.4.0rc1-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 cc42cab98f60ccb9d28819f751eb3e1eaa02f7e895a9b4793d29a40164569a5c
MD5 fbfbba9bcc71bdaa8ef2fb56d98b8fe1
BLAKE2b-256 1fdd06245a9727fbdf078572ec2912529ccaf533574b05c5f6994fb5e4b15b37

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp311-cp311-win32.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 dd1fec71c1575ca2b6b1dc3506c954c2586f3ad03766640e313c321fc03c5c86
MD5 f0967fbd51c1a040c1252a685a59c2f1
BLAKE2b-256 7d2f94d416e2300b1a90af087bc8c5fb1eeefdaf879bf0aa3fd06978e31ae13d

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp311-cp311-musllinux_1_2_x86_64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp311-cp311-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp311-cp311-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 a2f364f198b9d77bd68ee931140561c29cfa54d5b58c9efa69e8301bbf8de7da
MD5 f3e4629ea748e67deb531cd1c27d3f32
BLAKE2b-256 728d0ba8fe8792969fef2c2741e8bba25039d367956758f1c07869be13d760a3

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp311-cp311-musllinux_1_2_aarch64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 62109d8bea56d4446661c918cc2f3a4a5eaf0eac007bdaec3625bd14d7b01d22
MD5 176dd947ff02a9bcc8ed030346a779b4
BLAKE2b-256 a1431b8a495d5693f1fc3e9e15730ca5a88c233e31e38f437ae6aec9aa754cbe

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 f0d2f2b7391931ecafa8c174ae855ddd63f36a21f43c2b4c9d18d8e198f4d1b8
MD5 3c85311506d1c1221a4dfc6e7cd34d3f
BLAKE2b-256 fff48034810597635323b6c3bc5f77e868a0b9c20d97e7a4101ee882b6d9d5c5

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp311-cp311-macosx_14_0_x86_64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp311-cp311-macosx_14_0_x86_64.whl
Algorithm Hash digest
SHA256 4630bd4195ccf394e098c78447435df077bf5124751de5e152fd866b3b7437b9
MD5 35b204fffc3bd0fb930a0930d8d67df0
BLAKE2b-256 519c95c9c8156bf57f11af5972a3b87aa1f3a6681e746895318fc7f3e7d6a296

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp311-cp311-macosx_14_0_x86_64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp311-cp311-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp311-cp311-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 c9790472b6ac8661fddade32d9e5072a2860fe02013707b20f16a2f65bd58fa4
MD5 eedd159799d1433137f2b644a530a29a
BLAKE2b-256 39fe322e0f0d785d3cde636fcfdba9e31e985ddee460661f1b1576a9b004600b

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp311-cp311-macosx_14_0_arm64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 68161b6510e639023c60d45d2477d7d96c2bd2338b3076297b2509c2bb720f55
MD5 64103428de45fb3f10af5dc7be411e8f
BLAKE2b-256 9f25a1a4ecef5c2f85a74b0781910d6f32f8fb5b65c57d1173283276dde7be42

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp311-cp311-macosx_11_0_arm64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numpy-2.4.0rc1-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for numpy-2.4.0rc1-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 99d926acbbfebde8e122cc35d34456907ada7d44031d9a6e2d8ea994124510ce
MD5 b885a8b0f0243738f40070567b7a8c4f
BLAKE2b-256 86e7ec3a642c84ce7902c569df2ea45ac42aca7260b84a32f9d45b3598974cae

See more details on using hashes here.

Provenance

The following attestation bundles were made for numpy-2.4.0rc1-cp311-cp311-macosx_10_9_x86_64.whl:

Publisher: wheels.yml on numpy/numpy-release

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page