Skip to main content

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

  • and much more

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

All NumPy wheels distributed on PyPI are BSD licensed.

Release files for numpy 1.21.5

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 1.21.5
File Size Uploaded
numpy-1.21.5.zip 10.7 MB Details

Built distributions (wheels)

Table of built distributions (wheels) for numpy 1.21.5
File
numpy-1.21.5-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl PyPy 3.7 PyPy 3.7 7.3 Linux glibc 2.12+ x86-64 Details
numpy-1.21.5-cp310-cp310-win_amd64.whl CPython 3.10 CPython 3.10 Windows x86-64 Details
numpy-1.21.5-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-1.21.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ ARM64 Details
numpy-1.21.5-cp310-cp310-macosx_11_0_arm64.whl CPython 3.10 CPython 3.10 macOS 11.0+ ARM64 Details
numpy-1.21.5-cp310-cp310-macosx_10_9_x86_64.whl CPython 3.10 CPython 3.10 macOS 10.9+ x86-64 Details
numpy-1.21.5-cp310-cp310-macosx_10_9_universal2.whl CPython 3.10 CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64) Details
numpy-1.21.5-cp39-cp39-win_amd64.whl CPython 3.9 CPython 3.9 Windows x86-64 Details
numpy-1.21.5-cp39-cp39-win32.whl CPython 3.9 CPython 3.9 Windows x86-32 Details
numpy-1.21.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.9 CPython 3.9 Linux glibc 2.17+ ARM64 Details
numpy-1.21.5-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.12+ x86-64 Details
numpy-1.21.5-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl CPython 3.9 CPython 3.9 Linux glibc 2.12+ x86-32 Details
numpy-1.21.5-cp39-cp39-macosx_11_0_arm64.whl CPython 3.9 CPython 3.9 macOS 11.0+ ARM64 Details
numpy-1.21.5-cp39-cp39-macosx_10_9_x86_64.whl CPython 3.9 CPython 3.9 macOS 10.9+ x86-64 Details
numpy-1.21.5-cp39-cp39-macosx_10_9_universal2.whl CPython 3.9 CPython 3.9 macOS 10.9+ universal2 (ARM64, x86-64) Details
numpy-1.21.5-cp38-cp38-win_amd64.whl CPython 3.8 CPython 3.8 Windows x86-64 Details
numpy-1.21.5-cp38-cp38-win32.whl CPython 3.8 CPython 3.8 Windows x86-32 Details
numpy-1.21.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.8 CPython 3.8 Linux glibc 2.17+ ARM64 Details
numpy-1.21.5-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl CPython 3.8 CPython 3.8 Linux glibc 2.12+ x86-64 Details
numpy-1.21.5-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl CPython 3.8 CPython 3.8 Linux glibc 2.12+ x86-32 Details
numpy-1.21.5-cp38-cp38-macosx_11_0_arm64.whl CPython 3.8 CPython 3.8 macOS 11.0+ ARM64 Details
numpy-1.21.5-cp38-cp38-macosx_10_9_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.9+ x86-64 Details
numpy-1.21.5-cp38-cp38-macosx_10_9_universal2.whl CPython 3.8 CPython 3.8 macOS 10.9+ universal2 (ARM64, x86-64) Details
numpy-1.21.5-cp37-cp37m-win_amd64.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details
numpy-1.21.5-cp37-cp37m-win32.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-32 Details
numpy-1.21.5-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ ARM64 Details
numpy-1.21.5-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64 Details
numpy-1.21.5-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-32 Details
numpy-1.21.5-cp37-cp37m-macosx_10_9_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.9+ x86-64 Details

Total release size: 459.5 MB

Release files / numpy-1.21.5.zip

Download URL numpy-1.21.5.zip
Size 10.7 MB
Tags Source
SHA-256 checksum
How to use checksums
6a5928bc6241264dce5ed509e66f33676fc97f464e7a919edc672fb5532221ee
BLAKE2b-256 checksum
How to use checksums
c2a8a924a09492bdfee8c2ec3094d0a13f2799800b4fdc9c890738aeeb12c72e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

Release files / numpy-1.21.5-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL numpy-1.21.5-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Size 15.2 MB
Tags Linux glibc 2.12+ x86-64 PyPy 3.7 PyPy 3.7 7.3
SHA-256 checksum
How to use checksums
a7c4b701ca418cd39e28ec3b496e6388fe06de83f5f0cb74794fa31cfa384c02
BLAKE2b-256 checksum
How to use checksums
a0b263edeaba31f648adaa5d52c74d2bc6c4bf8cd4842c3a2a30e53c98fd5c8a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

Release files / numpy-1.21.5-cp310-cp310-win_amd64.whl

Download URL numpy-1.21.5-cp310-cp310-win_amd64.whl
Size 14.0 MB
Tags CPython 3.10 Windows x86-64
SHA-256 checksum
How to use checksums
cc1b30205d138d1005adb52087ff45708febbef0e420386f58664f984ef56954
BLAKE2b-256 checksum
How to use checksums
2d7956b53c21a2f3933dd786ddf89de210a2d6693244e6cf22e8f6d3697a6eed
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

Release files / numpy-1.21.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL numpy-1.21.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 15.9 MB
Tags CPython 3.10 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
dc4b2fb01f1b4ddbe2453468ea0719f4dbb1f5caa712c8b21bb3dd1480cd30d9
BLAKE2b-256 checksum
How to use checksums
b31c001ee062f215a5a8b44a3e8a80bd6f504a53f55426c3ea37ffdba472e98f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

Release files / numpy-1.21.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL numpy-1.21.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 13.0 MB
Tags CPython 3.10 Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums
58ca1d7c8aef6e996112d0ce873ac9dfa1eaf4a1196b4ff7ff73880a09923ba7
BLAKE2b-256 checksum
How to use checksums
3d545c0ed06ca1ddcc3252f0e5244f3d688157882e0cc7525853312c2023144b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

Release files / numpy-1.21.5-cp310-cp310-macosx_11_0_arm64.whl

Download URL numpy-1.21.5-cp310-cp310-macosx_11_0_arm64.whl
Size 12.4 MB
Tags CPython 3.10 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
fc7a7d7b0ed72589fd8b8486b9b42a564f10b8762be8bd4d9df94b807af4a089
BLAKE2b-256 checksum
How to use checksums
97299bd56ffed5e42cda8ad15e71e774615543d3acf0f7041b1f45bfebfd0286
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

Release files / numpy-1.21.5-cp310-cp310-macosx_10_9_x86_64.whl

Download URL numpy-1.21.5-cp310-cp310-macosx_10_9_x86_64.whl
Size 17.0 MB
Tags CPython 3.10 macOS 10.9+ x86-64
SHA-256 checksum
How to use checksums
a7e8f6216f180f3fd4efb73de5d1eaefb5f5a1ee5b645c67333033e39440e63a
BLAKE2b-256 checksum
How to use checksums
b0cd83862fda9dbb7d0e4aa1b51cb00504870243dae0625737b92b05e7679321
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

Release files / numpy-1.21.5-cp310-cp310-macosx_10_9_universal2.whl

Download URL numpy-1.21.5-cp310-cp310-macosx_10_9_universal2.whl
Size 27.2 MB
Tags CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64)
SHA-256 checksum
How to use checksums
301e408a052fdcda5cdcf03021ebafc3c6ea093021bf9d1aa47c54d48bdad166
BLAKE2b-256 checksum
How to use checksums
cacff2a8e3a1fd2ef3ed31e89913720031d586d0f0fd7620b74af64a561774e2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

Release files / numpy-1.21.5-cp39-cp39-win_amd64.whl

Download URL numpy-1.21.5-cp39-cp39-win_amd64.whl
Size 14.0 MB
Tags CPython 3.9 Windows x86-64
SHA-256 checksum
How to use checksums
1964db2d4a00348b7a60ee9d013c8cb0c566644a589eaa80995126eac3b99ced
BLAKE2b-256 checksum
How to use checksums
afdffe31e3518f7f6a90a387a2f643344a8cde8cbf84767a5a9a404ff2638dcd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

Release files / numpy-1.21.5-cp39-cp39-win32.whl

Download URL numpy-1.21.5-cp39-cp39-win32.whl
Size 11.7 MB
Tags CPython 3.9 Windows x86-32
SHA-256 checksum
How to use checksums
2a9add27d7fc0fdb572abc3b2486eb3b1395da71e0254c5552b2aad2a18b5441
BLAKE2b-256 checksum
How to use checksums
e95c020b8ba1b46dd01f814864ccb6d885e325a237a187c916c1d3ebac00e953
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

Release files / numpy-1.21.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL numpy-1.21.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 13.0 MB
Tags CPython 3.9 Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums
3c978544be9e04ed12016dd295a74283773149b48f507d69b36f91aa90a643e5
BLAKE2b-256 checksum
How to use checksums
1a2ecb80429942b6170712a0b4a267e0f1b3636a801957d40bf3c0840ba5f8ee
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

Release files / numpy-1.21.5-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL numpy-1.21.5-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Size 15.7 MB
Tags CPython 3.9 Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
c293d3c0321996cd8ffe84215ffe5d269fd9d1d12c6f4ffe2b597a7c30d3e593
BLAKE2b-256 checksum
How to use checksums
f8cc038b8277fe977ae1f18d11660386af6093547d6c0bd9a9fadbed4795091a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

Release files / numpy-1.21.5-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl

Download URL numpy-1.21.5-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl
Size 13.7 MB
Tags CPython 3.9 Linux glibc 2.12+ x86-32
SHA-256 checksum
How to use checksums
2d8adfca843bc46ac199a4645233f13abf2011a0b2f4affc5c37cd552626f27b
BLAKE2b-256 checksum
How to use checksums
6cbd46a9fe05e8dd7b4e73b204707124ed847b9eaa8fe66f4dd70ed11ac42440
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

Release files / numpy-1.21.5-cp39-cp39-macosx_11_0_arm64.whl

Download URL numpy-1.21.5-cp39-cp39-macosx_11_0_arm64.whl
Size 12.4 MB
Tags CPython 3.9 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
69a5a8d71c308d7ef33ef72371c2388a90e3495dbb7993430e674006f94797d5
BLAKE2b-256 checksum
How to use checksums
2315947caaf68f10166843ad1dbcc8097522f3b1a6d986ff4a4d0063bb369d3a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

Release files / numpy-1.21.5-cp39-cp39-macosx_10_9_x86_64.whl

Download URL numpy-1.21.5-cp39-cp39-macosx_10_9_x86_64.whl
Size 17.0 MB
Tags CPython 3.9 macOS 10.9+ x86-64
SHA-256 checksum
How to use checksums
00c9fa73a6989895b8815d98300a20ac993c49ac36c8277e8ffeaa3631c0dbbb
BLAKE2b-256 checksum
How to use checksums
51e3231e70770312ae79fae0ea1d5be42c1ad656dc8f6e4d9bffd5b7e40927fa
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

Release files / numpy-1.21.5-cp39-cp39-macosx_10_9_universal2.whl

Download URL numpy-1.21.5-cp39-cp39-macosx_10_9_universal2.whl
Size 27.2 MB
Tags CPython 3.9 macOS 10.9+ universal2 (ARM64, x86-64)
SHA-256 checksum
How to use checksums
507c05c7a37b3683eb08a3ff993bd1ee1e6c752f77c2f275260533b265ecdb6c
BLAKE2b-256 checksum
How to use checksums
1316268e725e895cbb1c9c06bd9ae03eb01cc6e3d876d958b264a6c3042ad8ce
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

Release files / numpy-1.21.5-cp38-cp38-win_amd64.whl

Download URL numpy-1.21.5-cp38-cp38-win_amd64.whl
Size 14.0 MB
Tags CPython 3.8 Windows x86-64
SHA-256 checksum
How to use checksums
dbce7adeb66b895c6aaa1fad796aaefc299ced597f6fbd9ceddb0dd735245354
BLAKE2b-256 checksum
How to use checksums
c87afc93f1989d009bd1b40d38efc82f1b262deea8842da6435ff90ec86c0ace
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

Release files / numpy-1.21.5-cp38-cp38-win32.whl

Download URL numpy-1.21.5-cp38-cp38-win32.whl
Size 11.7 MB
Tags CPython 3.8 Windows x86-32
SHA-256 checksum
How to use checksums
7b9d6b14fc9a4864b08d1ba57d732b248f0e482c7b2ff55c313137e3ed4d8449
BLAKE2b-256 checksum
How to use checksums
ca3c0449cae682cdae69f3261fad5871d6d54f3a45cd5b3042b8ddfc959e2224
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

Release files / numpy-1.21.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL numpy-1.21.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 13.0 MB
Tags CPython 3.8 Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums
61bada43d494515d5b122f4532af226fdb5ee08fe5b5918b111279843dc6836a
BLAKE2b-256 checksum
How to use checksums
98c9ec6b0c69b5f65e946036af67cb2a316712e60a79892e27988ef7a248be16
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

Release files / numpy-1.21.5-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL numpy-1.21.5-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Size 15.7 MB
Tags CPython 3.8 Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
eed2afaa97ec33b4411995be12f8bdb95c87984eaa28d76cf628970c8a2d689a
BLAKE2b-256 checksum
How to use checksums
9cacbd195e349dd5cacd6b8bbae2100c43017a57b27dbd0c6d99471c8f16a41d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

Release files / numpy-1.21.5-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl

Download URL numpy-1.21.5-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl
Size 13.7 MB
Tags CPython 3.8 Linux glibc 2.12+ x86-32
SHA-256 checksum
How to use checksums
c5562bcc1a9b61960fc8950ade44d00e3de28f891af0acc96307c73613d18f6e
BLAKE2b-256 checksum
How to use checksums
cd68e1465ec9d9d095e707cd21987ea0a77ff88d060efe9d9d7a1972e4bb51ac
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

Release files / numpy-1.21.5-cp38-cp38-macosx_11_0_arm64.whl

Download URL numpy-1.21.5-cp38-cp38-macosx_11_0_arm64.whl
Size 12.3 MB
Tags CPython 3.8 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
b545ebadaa2b878c8630e5bcdb97fc4096e779f335fc0f943547c1c91540c815
BLAKE2b-256 checksum
How to use checksums
499d04efd8718a72913bda0edf3429b788eeaf20f8c60c70e1d9fc1a5413d8bb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

Release files / numpy-1.21.5-cp38-cp38-macosx_10_9_x86_64.whl

Download URL numpy-1.21.5-cp38-cp38-macosx_10_9_x86_64.whl
Size 16.9 MB
Tags CPython 3.8 macOS 10.9+ x86-64
SHA-256 checksum
How to use checksums
311283acf880cfcc20369201bd75da907909afc4666966c7895cbed6f9d2c640
BLAKE2b-256 checksum
How to use checksums
e8b2be38f1036c7e7f6af79201f09de86615599beeb232f37dd288d9631d9b29
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

Release files / numpy-1.21.5-cp38-cp38-macosx_10_9_universal2.whl

Download URL numpy-1.21.5-cp38-cp38-macosx_10_9_universal2.whl
Size 27.1 MB
Tags CPython 3.8 macOS 10.9+ universal2 (ARM64, x86-64)
SHA-256 checksum
How to use checksums
3a5098df115340fb17fc93867317a947e1dcd978c3888c5ddb118366095851f8
BLAKE2b-256 checksum
How to use checksums
97caa82e530d1857782b82de5160a5635c7b57063ea9c5d22531d210a206d058
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

Release files / numpy-1.21.5-cp37-cp37m-win_amd64.whl

Download URL numpy-1.21.5-cp37-cp37m-win_amd64.whl
Size 14.0 MB
Tags CPython 3.7 CPython 3.7 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
025b497014bc33fc23897859350f284323f32a2fff7654697f5a5fc2a19e9939
BLAKE2b-256 checksum
How to use checksums
22a33a5469ebaca59100e50b4300dd011eed943f2aad7c6a80a07966b985e2c6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

Release files / numpy-1.21.5-cp37-cp37m-win32.whl

Download URL numpy-1.21.5-cp37-cp37m-win32.whl
Size 11.7 MB
Tags CPython 3.7 CPython 3.7 pymalloc Windows x86-32
SHA-256 checksum
How to use checksums
ca9c23848292c6fe0a19d212790e62f398fd9609aaa838859be8459bfbe558aa
BLAKE2b-256 checksum
How to use checksums
b446a3a0d9b40fd00e1adec8e0e51da09186b1764b86cadfc9275048f67d6e61
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

Release files / numpy-1.21.5-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL numpy-1.21.5-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 13.0 MB
Tags CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums
341dddcfe3b7b6427a28a27baa59af5ad51baa59bfec3264f1ab287aa3b30b13
BLAKE2b-256 checksum
How to use checksums
5bb50c9779b54542f01a376388c30359d20ce2947169273e2b77eab193ffdf80
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

Release files / numpy-1.21.5-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL numpy-1.21.5-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Size 15.7 MB
Tags CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64
SHA-256 checksum
How to use checksums
3d893b0871322eaa2f8c7072cdb552d8e2b27645b7875a70833c31e9274d4611
BLAKE2b-256 checksum
How to use checksums
5046292cff79f5b30151b027400efdb3f740ea03271b600751b6696cf550c10d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

Release files / numpy-1.21.5-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl

Download URL numpy-1.21.5-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl
Size 13.7 MB
Tags CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-32
SHA-256 checksum
How to use checksums
4fe6a006557b87b352c04596a6e3f12a57d6e5f401d804947bd3188e6b0e0e76
BLAKE2b-256 checksum
How to use checksums
feeaa131a39cad03e2ecd409e0d1953e226ea01664020664017219f1eada3fba
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

Release files / numpy-1.21.5-cp37-cp37m-macosx_10_9_x86_64.whl

Download URL numpy-1.21.5-cp37-cp37m-macosx_10_9_x86_64.whl
Size 16.9 MB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.9+ x86-64
SHA-256 checksum
How to use checksums
08de8472d9f7571f9d51b27b75e827f5296295fa78817032e84464be8bb905bc
BLAKE2b-256 checksum
How to use checksums
098cae037b8643aaa405b666c167f48550c1ce6b7c589fe5540de6d83e5931ca
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

Release history Release notifications | RSS feed

2.5.0

44 release files

2.4.6

72 release files

2.4.5

72 release files

2.4.4

72 release files

2.4.2

72 release files

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

55 release files

2.2.3

55 release files

2.2.2

55 release files

2.2.1

55 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

This release

1.21.5 This release

30 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

2 release files

1.2.1

1.2.0

1.1.1

1.0.4

1.0.3

1.0

1 release file

1.0rc3

1.0rc2

1.0rc1

1.0b5

1.0b4

1.0b1

0.9.8

0.9.6

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page