compiling Python code using LLVM

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for esc from gravatar.com esc Avatar for kc611 from gravatar.com kc611 Avatar for seibert from gravatar.com seibert Avatar for Siu.Kwan.Lam from gravatar.com Siu.Kwan.Lam Avatar for teoliphant from gravatar.com teoliphant

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD)
  • Requires: Python >=3.7, <3.11
Classifiers
Report project as malware

Project description

Gitter Discourse Zenodo DOI

A Just-In-Time Compiler for Numerical Functions in Python

Numba is an open source, NumPy-aware optimizing compiler for Python sponsored by Anaconda, Inc. It uses the LLVM compiler project to generate machine code from Python syntax.

Numba can compile a large subset of numerically-focused Python, including many NumPy functions. Additionally, Numba has support for automatic parallelization of loops, generation of GPU-accelerated code, and creation of ufuncs and C callbacks.

For more information about Numba, see the Numba homepage: https://numba.pydata.org

Supported Platforms

  • Operating systems and CPUs:

    • Linux: x86 (32-bit), x86_64, ppc64le (POWER8 and 9), ARMv7 (32-bit), ARMv8 (64-bit).

    • Windows: x86, x86_64.

    • macOS: x86_64, (M1/Arm64, unofficial support only).

    • *BSD: (unofficial support only).

  • (Optional) Accelerators and GPUs:

    • NVIDIA GPUs (Kepler architecture or later) via CUDA driver on Linux and Windows.

Dependencies

  • Python versions: 3.7-3.10

  • llvmlite 0.38.*

  • NumPy >=1.18,<1.22 (can build with 1.11 for ABI compatibility).

Optionally:

  • SciPy >=1.0.0 (for numpy.linalg support).

Installing

The easiest way to install Numba and get updates is by using the Anaconda Distribution: https://www.anaconda.com/download

$ conda install numba

For more options, see the Installation Guide: https://numba.readthedocs.io/en/stable/user/installing.html

Documentation

https://numba.readthedocs.io/en/stable/index.html

Contact

Numba has a discourse forum for discussions:

Continuous Integration

Azure Pipelines

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for esc from gravatar.com esc Avatar for kc611 from gravatar.com kc611 Avatar for seibert from gravatar.com seibert Avatar for Siu.Kwan.Lam from gravatar.com Siu.Kwan.Lam Avatar for teoliphant from gravatar.com teoliphant

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD)
  • Requires: Python >=3.7, <3.11
Classifiers

Release history Release notifications | RSS feed

0.65.0rc1 pre-release

0.64.0

0.64.0rc1 pre-release

0.63.1

0.63.0

0.63.0rc1 pre-release

0.63.0b1 pre-release

0.62.1

0.62.0

0.62.0rc2 pre-release

0.62.0rc1 pre-release

0.61.2

0.61.1rc1 pre-release

0.61.0

0.61.0rc2 pre-release

0.61.0rc1 pre-release

0.60.0

0.60.0rc1 pre-release

0.59.1

0.59.0

0.59.0rc1 pre-release

0.58.1

0.58.0

0.58.0rc2 pre-release

0.58.0rc1 pre-release

0.57.1

0.57.1rc1 pre-release

0.57.0

0.57.0rc1 pre-release

0.56.4

0.56.3

0.56.2

0.56.0

0.56.0rc1 pre-release

0.55.2

0.55.1

0.55.0

This version

0.55.0rc1 pre-release

0.54.1

0.54.1rc1 pre-release

0.54.0

0.54.0rc3 pre-release

0.54.0rc2 pre-release

0.53.1

0.53.0

0.53.0rc3 pre-release

0.53.0rc2 pre-release

0.53.0rc1.post1 pre-release

0.52.0

0.52.0rc3 pre-release

0.52.0rc2 pre-release

0.51.2

0.51.1

0.51.0

0.51.0rc1 pre-release

0.50.1

0.50.0

0.50.0rc1 pre-release

0.49.1

0.49.1rc1 pre-release

0.49.0

0.48.0

0.47.0

0.46.0

0.45.1

0.45.0

0.44.1

0.44.0

0.43.1

0.43.0

0.42.1

0.42.0

0.41.0

0.40.1

0.40.0

0.39.0

0.38.1

0.38.0

0.37.0

0.36.2

0.36.1

0.35.0

0.34.0

0.33.0

0.32.0

0.31.0

0.30.1

0.30.0

0.29.0

0.28.1

0.27.0

0.26.0

0.25.0

0.24.0

0.23.1

0.23.0

0.22.1

0.22.0

0.21.0

0.20.0

0.19.2

0.19.1

0.18.2

0.18.1

0.17.0

0.16.0

0.15.1

0.14.0

0.13.4

0.13.3

0.13.2

0.13.0

0.12.2

0.12.1

0.12.0

0.11.0

0.10.1

0.10.0

0.9.0

0.8.1

0.8.0

0.7.2

0.7.1

0.7.0

0.6.0

0.5.0

0.3

0.2

0.1

Download files

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

Source Distribution

numba-0.55.0rc1.tar.gz (2.3 MB view details)

Uploaded Source

Built Distributions

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

numba-0.55.0rc1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (3.3 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

numba-0.55.0rc1-cp310-cp310-manylinux2014_i686.manylinux_2_17_i686.whl (3.0 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ i686

numba-0.55.0rc1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl (3.2 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64

numba-0.55.0rc1-cp310-cp310-macosx_10_14_x86_64.whl (2.3 MB view details)

Uploaded CPython 3.10macOS 10.14+ x86-64

numba-0.55.0rc1-cp39-cp39-win_amd64.whl (2.4 MB view details)

Uploaded CPython 3.9Windows x86-64

numba-0.55.0rc1-cp39-cp39-win32.whl (2.4 MB view details)

Uploaded CPython 3.9Windows x86

numba-0.55.0rc1-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (3.3 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

numba-0.55.0rc1-cp39-cp39-manylinux2014_i686.manylinux_2_17_i686.whl (3.0 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ i686

numba-0.55.0rc1-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.whl (3.2 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ ARM64

numba-0.55.0rc1-cp39-cp39-macosx_10_14_x86_64.whl (2.3 MB view details)

Uploaded CPython 3.9macOS 10.14+ x86-64

numba-0.55.0rc1-cp38-cp38-win_amd64.whl (2.4 MB view details)

Uploaded CPython 3.8Windows x86-64

numba-0.55.0rc1-cp38-cp38-win32.whl (2.4 MB view details)

Uploaded CPython 3.8Windows x86

numba-0.55.0rc1-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (3.4 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

numba-0.55.0rc1-cp38-cp38-manylinux2014_i686.manylinux_2_17_i686.whl (3.0 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ i686

numba-0.55.0rc1-cp38-cp38-manylinux2014_aarch64.manylinux_2_17_aarch64.whl (3.3 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ ARM64

numba-0.55.0rc1-cp38-cp38-macosx_10_14_x86_64.whl (2.3 MB view details)

Uploaded CPython 3.8macOS 10.14+ x86-64

numba-0.55.0rc1-cp37-cp37m-win_amd64.whl (2.4 MB view details)

Uploaded CPython 3.7mWindows x86-64

numba-0.55.0rc1-cp37-cp37m-win32.whl (2.3 MB view details)

Uploaded CPython 3.7mWindows x86

numba-0.55.0rc1-cp37-cp37m-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (3.3 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

numba-0.55.0rc1-cp37-cp37m-manylinux2014_i686.manylinux_2_17_i686.whl (3.0 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ i686

numba-0.55.0rc1-cp37-cp37m-manylinux2014_aarch64.manylinux_2_17_aarch64.whl (3.2 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ ARM64

numba-0.55.0rc1-cp37-cp37m-macosx_10_14_x86_64.whl (2.3 MB view details)

Uploaded CPython 3.7mmacOS 10.14+ x86-64

File details

Details for the file numba-0.55.0rc1.tar.gz.

File metadata

  • Download URL: numba-0.55.0rc1.tar.gz
  • Upload date:
  • Size: 2.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.5

File hashes

Hashes for numba-0.55.0rc1.tar.gz
Algorithm Hash digest
SHA256 95b583d682a08f02ff2b2be1def869d1fa6a6a702eb8f4043f623655bd0e1dfe
MD5 4496d83d85f3143e23e112b79eb73d86
BLAKE2b-256 05d95a3bc6549fe7ea8336f06cd72dac0ad69b18c8089930e560467cf9de359d

See more details on using hashes here.

File details

Details for the file numba-0.55.0rc1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for numba-0.55.0rc1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 4c89c5629d2ee491fc401214a6b8a5bb89bc3b5d94f50f827d745dc59e13c7b0
MD5 b57a474bf4739a419e30204533a14167
BLAKE2b-256 e5690570935c8a5cb31dfe4cff8c200f082f27c3d5ccc2fefe1262d12169dea7

See more details on using hashes here.

File details

Details for the file numba-0.55.0rc1-cp310-cp310-manylinux2014_i686.manylinux_2_17_i686.whl.

File metadata

File hashes

Hashes for numba-0.55.0rc1-cp310-cp310-manylinux2014_i686.manylinux_2_17_i686.whl
Algorithm Hash digest
SHA256 c561b98c638ac61bc4bdd2ca806b56c5d7a00a64db1e3c9aaa7c2b6b95f89915
MD5 783678da4538150c803bfdcb274174b5
BLAKE2b-256 03f3395e79d1afb21c5f5db29c799c5def4418e2d0e823a04c1ec142ec917758

See more details on using hashes here.

File details

Details for the file numba-0.55.0rc1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl.

File metadata

File hashes

Hashes for numba-0.55.0rc1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl
Algorithm Hash digest
SHA256 fce0a573b689f55a16e31ac6f0b16f52eb4090866550d3e20a26087bd4a3267a
MD5 1ab89f755d4161a9d7f88db0e7c924ae
BLAKE2b-256 d2ee7be3b061ab2657a488336f289a547bc0de2e2941d4c638cc7384dbdad3cc

See more details on using hashes here.

File details

Details for the file numba-0.55.0rc1-cp310-cp310-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: numba-0.55.0rc1-cp310-cp310-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 2.3 MB
  • Tags: CPython 3.10, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.5

File hashes

Hashes for numba-0.55.0rc1-cp310-cp310-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 946e70ccd744a0a205a1e94467345b965d4ccff679cd531abcf4524e4539e675
MD5 9a0e64fe23ca824a8bb65b88dc3946d5
BLAKE2b-256 5dce5edffb62ab2ee5aa176c39cab5909f9d7b579e037cb082ff3e0665c05034

See more details on using hashes here.

File details

Details for the file numba-0.55.0rc1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: numba-0.55.0rc1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 2.4 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.5

File hashes

Hashes for numba-0.55.0rc1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 5e1c0e5bcdde7dab37f6458ad57941067443bd69f6dfffe7009e4974adb7d220
MD5 7efca913a948d82b6cc994edab69aa28
BLAKE2b-256 d564e21efbaf08eb9c66501a5a4381ed39440931e0683c377075821de403f700

See more details on using hashes here.

File details

Details for the file numba-0.55.0rc1-cp39-cp39-win32.whl.

File metadata

  • Download URL: numba-0.55.0rc1-cp39-cp39-win32.whl
  • Upload date:
  • Size: 2.4 MB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.5

File hashes

Hashes for numba-0.55.0rc1-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 56f07e0321956d074c669864a936680a67ee07d3b77c9c988b1d501c9a28d18c
MD5 6bf0bb39575569e6236a4e6c45299e1c
BLAKE2b-256 607b61585e212f5b6ae8f5e78b899818ad9d2d4fcccd44321cfc80c08ae09c2a

See more details on using hashes here.

File details

Details for the file numba-0.55.0rc1-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for numba-0.55.0rc1-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 6b38c2e53f8eb22dfab669527ddd7989a731631b0609e157a76320f5813ed75f
MD5 58a876ad171765fa8ad363c421b1d6fa
BLAKE2b-256 33603ff28c306e24c5f980a4f14ae4a45ba4a6fa0bc4bbe6545312849cf8c52a

See more details on using hashes here.

File details

Details for the file numba-0.55.0rc1-cp39-cp39-manylinux2014_i686.manylinux_2_17_i686.whl.

File metadata

  • Download URL: numba-0.55.0rc1-cp39-cp39-manylinux2014_i686.manylinux_2_17_i686.whl
  • Upload date:
  • Size: 3.0 MB
  • Tags: CPython 3.9, manylinux: glibc 2.17+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.5

File hashes

Hashes for numba-0.55.0rc1-cp39-cp39-manylinux2014_i686.manylinux_2_17_i686.whl
Algorithm Hash digest
SHA256 0e8008288f1d3311b32ac4fe6333375e806688ed637a4f6788b93a680a5c8d56
MD5 1179acaf228406d41fed3cc13c557748
BLAKE2b-256 2c6bf675d651589c031b7aa3a001b32cdabab2d881e1264990720a0117a0c2ef

See more details on using hashes here.

File details

Details for the file numba-0.55.0rc1-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.whl.

File metadata

File hashes

Hashes for numba-0.55.0rc1-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.whl
Algorithm Hash digest
SHA256 bb30b908d500c1acdcfc694f03e806c52720037b26426ce16b674421c7fe2006
MD5 45b57c97f3466c295185a5387a306e0b
BLAKE2b-256 1859028c328d88f8a10bbe36394ff6b7defb76cd00e575ee8a533569613801ff

See more details on using hashes here.

File details

Details for the file numba-0.55.0rc1-cp39-cp39-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: numba-0.55.0rc1-cp39-cp39-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 2.3 MB
  • Tags: CPython 3.9, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.5

File hashes

Hashes for numba-0.55.0rc1-cp39-cp39-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 f0b6369f7adfbd42c9fe83c7fde737bb15549327d6ab90c7bf5f8755ac4f4abb
MD5 e39e07fbc02d567ebca251a621c699de
BLAKE2b-256 a9f7701380833dcbf2b36e11c56377bed9807573e25c0f3fa7b529ea3cf5538e

See more details on using hashes here.

File details

Details for the file numba-0.55.0rc1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: numba-0.55.0rc1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 2.4 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.5

File hashes

Hashes for numba-0.55.0rc1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 68c00d578d5a4b832c1b9755a0e438e65f8bd277600505eeb472063814e713b5
MD5 2ed67d0075ae668fbbb8e11499286873
BLAKE2b-256 bd29a3002e987a11f350aebecf6e304b71928d0c7665259a1ac88124b718def6

See more details on using hashes here.

File details

Details for the file numba-0.55.0rc1-cp38-cp38-win32.whl.

File metadata

  • Download URL: numba-0.55.0rc1-cp38-cp38-win32.whl
  • Upload date:
  • Size: 2.4 MB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.5

File hashes

Hashes for numba-0.55.0rc1-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 94f3b60515a26ae709e39b23a83f2bf7c8f728ce324b97c415f55a7f172d7c44
MD5 ee7c832fa68e8a0a086d442767de99c1
BLAKE2b-256 c9d9c05c22d65b3b2620d1396a9d1ac1f2a6a3e99fe4f626ad33349009a07ae6

See more details on using hashes here.

File details

Details for the file numba-0.55.0rc1-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for numba-0.55.0rc1-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 cded9b0814cb7572115e914b83ceb99eac550eff956b36620e686adac0fc91be
MD5 b6b1000d2f4a75c9670e8eb5be8d581f
BLAKE2b-256 8d649194a3acdea972000b0441212d99fbf8cd6ea5af8f941d2a628c7e62fd5a

See more details on using hashes here.

File details

Details for the file numba-0.55.0rc1-cp38-cp38-manylinux2014_i686.manylinux_2_17_i686.whl.

File metadata

  • Download URL: numba-0.55.0rc1-cp38-cp38-manylinux2014_i686.manylinux_2_17_i686.whl
  • Upload date:
  • Size: 3.0 MB
  • Tags: CPython 3.8, manylinux: glibc 2.17+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.5

File hashes

Hashes for numba-0.55.0rc1-cp38-cp38-manylinux2014_i686.manylinux_2_17_i686.whl
Algorithm Hash digest
SHA256 8c4dde6d909883f7b3a9c6ab6041d9c4a270db01b3c54e2e48c4cc8ef2879f01
MD5 564d0f92cf027ae91812572a6016045c
BLAKE2b-256 4a7ef12e76ab91afe94b36b28becfd5d621a6ba9712b25ffae7113c94eea262a

See more details on using hashes here.

File details

Details for the file numba-0.55.0rc1-cp38-cp38-manylinux2014_aarch64.manylinux_2_17_aarch64.whl.

File metadata

File hashes

Hashes for numba-0.55.0rc1-cp38-cp38-manylinux2014_aarch64.manylinux_2_17_aarch64.whl
Algorithm Hash digest
SHA256 819663a7fb10578262a813e9dfe108795dc7fd17da1671d3ba8504f8f8440ef6
MD5 857a0a0e0329260c48c19e63015712b7
BLAKE2b-256 e80e6d9c382f28308ef840bcf1a4b3375af4c8a172686c116b006db7cafeb920

See more details on using hashes here.

File details

Details for the file numba-0.55.0rc1-cp38-cp38-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: numba-0.55.0rc1-cp38-cp38-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 2.3 MB
  • Tags: CPython 3.8, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.5

File hashes

Hashes for numba-0.55.0rc1-cp38-cp38-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 61df2e7bb8e2671eeafd2c1db314d2d3c7c0103e3d9298f710fc856c61c2da30
MD5 362251e2c1ae816e622921298915bccf
BLAKE2b-256 1f2852eafd28bf5e34283f39fc1db1edb799f8c271afa58ee7add62b2b416d9c

See more details on using hashes here.

File details

Details for the file numba-0.55.0rc1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: numba-0.55.0rc1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 2.4 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.5

File hashes

Hashes for numba-0.55.0rc1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 c0d59e8706c79002def935f7749da61d93a06ef90065522c1550006d3955ddc6
MD5 796755fca1a45ccfbbb0379d7f38708e
BLAKE2b-256 dd37eae4a58f4cba586fe13fa39ef28d04e7cd240be2fe76a0410f4798e3e1f6

See more details on using hashes here.

File details

Details for the file numba-0.55.0rc1-cp37-cp37m-win32.whl.

File metadata

  • Download URL: numba-0.55.0rc1-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 2.3 MB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.5

File hashes

Hashes for numba-0.55.0rc1-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 68b81696ec63cab370ba86c31d315cf614d732156f484cd8adbedab6cc64956e
MD5 2f6348375e0b8be380b9b73b10676b21
BLAKE2b-256 d91b1ceb5a007d4654ba84554984b7ccb6d155fe5b0d93046805b210ddeb4a22

See more details on using hashes here.

File details

Details for the file numba-0.55.0rc1-cp37-cp37m-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for numba-0.55.0rc1-cp37-cp37m-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 b15d70feedb74e47af81b0dfe39e91b175220074b48f977fc265c50ec5cb5d40
MD5 345bad12f1a588478744372f6358dc18
BLAKE2b-256 9439cf19dc90021279fe684577ce9a297315f8280ba6dd12c4775e9587a74f15

See more details on using hashes here.

File details

Details for the file numba-0.55.0rc1-cp37-cp37m-manylinux2014_i686.manylinux_2_17_i686.whl.

File metadata

File hashes

Hashes for numba-0.55.0rc1-cp37-cp37m-manylinux2014_i686.manylinux_2_17_i686.whl
Algorithm Hash digest
SHA256 c3ced23be308c40382c32996549b2de7a0c4ade42a190bb7e308108fb19cfa7c
MD5 eacb8799b761e5d48d44660b5d8f2b73
BLAKE2b-256 2eaa1e5493a84dbfa428a8cbeb6b531a9109dcdd276a26f1c95fa196eb84ee74

See more details on using hashes here.

File details

Details for the file numba-0.55.0rc1-cp37-cp37m-manylinux2014_aarch64.manylinux_2_17_aarch64.whl.

File metadata

File hashes

Hashes for numba-0.55.0rc1-cp37-cp37m-manylinux2014_aarch64.manylinux_2_17_aarch64.whl
Algorithm Hash digest
SHA256 4a9d518dd3872fb3e86e512682a76e12126b1b1f331822671225c8b2c1860920
MD5 eab623ac54b8a53aabba611d1ede3912
BLAKE2b-256 08051fe8796abf41a0a2ddf41750eefef3b6eba2c27079a9e30e93a5bf06be72

See more details on using hashes here.

File details

Details for the file numba-0.55.0rc1-cp37-cp37m-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: numba-0.55.0rc1-cp37-cp37m-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 2.3 MB
  • Tags: CPython 3.7m, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.5

File hashes

Hashes for numba-0.55.0rc1-cp37-cp37m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 1743877337c94fb2a1b37f642eeb1cb7fcbfd9a329ed790d31f35c9b9ed36179
MD5 97ea7ee583da16864d19c2f7db5bcdf5
BLAKE2b-256 e8e287d5430ff6d4df81676966eeafabc3bf98f6d584888d0ea3745961ce2856

See more details on using hashes here.

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