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 1.21.4

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 1.21.4
File Size Uploaded
numpy-1.21.4.zip 10.6 MB Details

Built distributions (wheels)

Table of built distributions (wheels) for numpy 1.21.4
File
numpy-1.21.4-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-1.21.4-cp310-cp310-win_amd64.whl CPython 3.10 CPython 3.10 Windows x86-64 Details
numpy-1.21.4-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-1.21.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ ARM64 Details
numpy-1.21.4-cp310-cp310-macosx_11_0_arm64.whl CPython 3.10 CPython 3.10 macOS 11.0+ ARM64 Details
numpy-1.21.4-cp310-cp310-macosx_10_9_x86_64.whl CPython 3.10 CPython 3.10 macOS 10.9+ x86-64 Details
numpy-1.21.4-cp310-cp310-macosx_10_9_universal2.whl CPython 3.10 CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64) Details
numpy-1.21.4-cp39-cp39-win_amd64.whl CPython 3.9 CPython 3.9 Windows x86-64 Details
numpy-1.21.4-cp39-cp39-win32.whl CPython 3.9 CPython 3.9 Windows x86-32 Details
numpy-1.21.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.9 CPython 3.9 Linux glibc 2.17+ ARM64 Details
numpy-1.21.4-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-1.21.4-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl CPython 3.9 CPython 3.9 Linux glibc 2.12+ x86-32 Details
numpy-1.21.4-cp39-cp39-macosx_11_0_arm64.whl CPython 3.9 CPython 3.9 macOS 11.0+ ARM64 Details
numpy-1.21.4-cp39-cp39-macosx_10_9_x86_64.whl CPython 3.9 CPython 3.9 macOS 10.9+ x86-64 Details
numpy-1.21.4-cp39-cp39-macosx_10_9_universal2.whl CPython 3.9 CPython 3.9 macOS 10.9+ universal2 (ARM64, x86-64) Details
numpy-1.21.4-cp38-cp38-win_amd64.whl CPython 3.8 CPython 3.8 Windows x86-64 Details
numpy-1.21.4-cp38-cp38-win32.whl CPython 3.8 CPython 3.8 Windows x86-32 Details
numpy-1.21.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.8 CPython 3.8 Linux glibc 2.17+ ARM64 Details
numpy-1.21.4-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-1.21.4-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl CPython 3.8 CPython 3.8 Linux glibc 2.12+ x86-32 Details
numpy-1.21.4-cp38-cp38-macosx_11_0_arm64.whl CPython 3.8 CPython 3.8 macOS 11.0+ ARM64 Details
numpy-1.21.4-cp38-cp38-macosx_10_9_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.9+ x86-64 Details
numpy-1.21.4-cp38-cp38-macosx_10_9_universal2.whl CPython 3.8 CPython 3.8 macOS 10.9+ universal2 (ARM64, x86-64) Details
numpy-1.21.4-cp37-cp37m-win_amd64.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details
numpy-1.21.4-cp37-cp37m-win32.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-32 Details
numpy-1.21.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ ARM64 Details
numpy-1.21.4-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-1.21.4-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-32 Details
numpy-1.21.4-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-1.21.4.zip

Download URL numpy-1.21.4.zip
Size 10.6 MB
Tags Source
SHA-256 checksum
How to use checksums
e6c76a87633aa3fa16614b61ccedfae45b91df2767cf097aa9c933932a7ed1e0
BLAKE2b-256 checksum
How to use checksums
fb48b0708ebd7718a8933f0d3937513ef8ef2f4f04529f1f66ca86d873043921
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

Release files / numpy-1.21.4-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL numpy-1.21.4-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
a3deb31bc84f2b42584b8c4001c85d1934dbfb4030827110bc36bfd11509b7bf
BLAKE2b-256 checksum
How to use checksums
2965806a991e8ac5c30712a064929ede1d3d59d0401a956236eee06665ddcf4b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

Release files / numpy-1.21.4-cp310-cp310-win_amd64.whl

Download URL numpy-1.21.4-cp310-cp310-win_amd64.whl
Size 14.0 MB
Tags CPython 3.10 Windows x86-64
SHA-256 checksum
How to use checksums
1403b4e2181fc72664737d848b60e65150f272fe5a1c1cbc16145ed43884065a
BLAKE2b-256 checksum
How to use checksums
d7caad29a6597b54b3e39495d99345eadaf86357685cfa1b71454f7120ea6716
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

Release files / numpy-1.21.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL numpy-1.21.4-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
615d4e328af7204c13ae3d4df7615a13ff60a49cb0d9106fde07f541207883ca
BLAKE2b-256 checksum
How to use checksums
ab942fc54cc791846812318080a4f86f9afcf661891163779684d1dd1fe018f9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

Release files / numpy-1.21.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL numpy-1.21.4-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
0b78ecfa070460104934e2caf51694ccd00f37d5e5dbe76f021b1b0b0d221823
BLAKE2b-256 checksum
How to use checksums
d5997d0271fac620d938ad4fc06a53d9d42245529a1ced5416dd6744b93afe78
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

Release files / numpy-1.21.4-cp310-cp310-macosx_11_0_arm64.whl

Download URL numpy-1.21.4-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
e89717274b41ebd568cd7943fc9418eeb49b1785b66031bc8a7f6300463c5898
BLAKE2b-256 checksum
How to use checksums
5d0a96864521e42ad6a81069a4cc19ae31f6e4eae956ed03970b6174ffdac8b8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

Release files / numpy-1.21.4-cp310-cp310-macosx_10_9_x86_64.whl

Download URL numpy-1.21.4-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
69077388c5a4b997442b843dbdc3a85b420fb693ec8e33020bb24d647c164fa5
BLAKE2b-256 checksum
How to use checksums
de543f7d10f5030195be5fb2adc689239d2e5356e3cf6be4d2c046f1ab635589
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

Release files / numpy-1.21.4-cp310-cp310-macosx_10_9_universal2.whl

Download URL numpy-1.21.4-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
8890b3360f345e8360133bc078d2dacc2843b6ee6059b568781b15b97acbe39f
BLAKE2b-256 checksum
How to use checksums
769aa245290ae642f78caf80d1454045d19119dd6f266a81f02a1aa7aa89ba99
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

Release files / numpy-1.21.4-cp39-cp39-win_amd64.whl

Download URL numpy-1.21.4-cp39-cp39-win_amd64.whl
Size 14.0 MB
Tags CPython 3.9 Windows x86-64
SHA-256 checksum
How to use checksums
e3c3e990274444031482a31280bf48674441e0a5b55ddb168f3a6db3e0c38ec8
BLAKE2b-256 checksum
How to use checksums
0adaa485529a9d6ff6d86623ce0f78ef09890db628818154950005f610a16311
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

Release files / numpy-1.21.4-cp39-cp39-win32.whl

Download URL numpy-1.21.4-cp39-cp39-win32.whl
Size 11.7 MB
Tags CPython 3.9 Windows x86-32
SHA-256 checksum
How to use checksums
b1e2312f5b8843a3e4e8224b2b48fe16119617b8fc0a54df8f50098721b5bed2
BLAKE2b-256 checksum
How to use checksums
c28945cf1a1a4579c03a1f16d0e865b451cb24cd581fa8111ff5377488560bad
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

Release files / numpy-1.21.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL numpy-1.21.4-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
9864424631775b0c052f3bd98bc2712d131b3e2cd95d1c0c68b91709170890b0
BLAKE2b-256 checksum
How to use checksums
eade9c7f23eb0c15f8812e536fe316f704c5e4ff2d02476183d072bfb2f6db96
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

Release files / numpy-1.21.4-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL numpy-1.21.4-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
c74c699b122918a6c4611285cc2cad4a3aafdb135c22a16ec483340ef97d573c
BLAKE2b-256 checksum
How to use checksums
7abc83ad5485e5d95efbb5aaea236d7b89f893acff1e7f1e51c0a87be50bb9e3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

Release files / numpy-1.21.4-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl

Download URL numpy-1.21.4-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
ad010846cdffe7ec27e3f933397f8a8d6c801a48634f419e3d075db27acf5880
BLAKE2b-256 checksum
How to use checksums
9824ad90c86de980c4393d604fa2a03de9d6e2f86263c33796a7659e7cc5bbb4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

Release files / numpy-1.21.4-cp39-cp39-macosx_11_0_arm64.whl

Download URL numpy-1.21.4-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
9e6f5f50d1eff2f2f752b3089a118aee1ea0da63d56c44f3865681009b0af162
BLAKE2b-256 checksum
How to use checksums
5cb601a066e5c4b51a7dd6a0a760fcabb5e2c1812a678cb3e5022536e876462a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

Release files / numpy-1.21.4-cp39-cp39-macosx_10_9_x86_64.whl

Download URL numpy-1.21.4-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
c885bfc07f77e8fee3dc879152ba993732601f1f11de248d4f357f0ffea6a6d4
BLAKE2b-256 checksum
How to use checksums
195a7901e94e8873d7d5800cd3ab08e19629e5ec98b0c423727cec59ac687e13
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

Release files / numpy-1.21.4-cp39-cp39-macosx_10_9_universal2.whl

Download URL numpy-1.21.4-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
fde96af889262e85aa033f8ee1d3241e32bf36228318a61f1ace579df4e8170d
BLAKE2b-256 checksum
How to use checksums
c0d0c4bc6c65e2aad2904b78d4fe12772e5d89fa3f26f9d28813c72d2e878720
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

Release files / numpy-1.21.4-cp38-cp38-win_amd64.whl

Download URL numpy-1.21.4-cp38-cp38-win_amd64.whl
Size 14.0 MB
Tags CPython 3.8 Windows x86-64
SHA-256 checksum
How to use checksums
170b2a0805c6891ca78c1d96ee72e4c3ed1ae0a992c75444b6ab20ff038ba2cd
BLAKE2b-256 checksum
How to use checksums
153d70e9393b786c2464cb3060249901ace93b154495c2f2598930d06bb187f6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

Release files / numpy-1.21.4-cp38-cp38-win32.whl

Download URL numpy-1.21.4-cp38-cp38-win32.whl
Size 11.7 MB
Tags CPython 3.8 Windows x86-32
SHA-256 checksum
How to use checksums
bc988afcea53e6156546e5b2885b7efab089570783d9d82caf1cfd323b0bb3dd
BLAKE2b-256 checksum
How to use checksums
7daf13115250d40df44624a40ac3dc86a93d6b24481f45ff242407041a9e69a4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

Release files / numpy-1.21.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL numpy-1.21.4-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
e4799be6a2d7d3c33699a6f77201836ac975b2e1b98c2a07f66a38f499cb50ce
BLAKE2b-256 checksum
How to use checksums
b31975e179b3b5966ce259f51639b6d033d2cc95aa71f3ab03fbe67fb475dc45
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

Release files / numpy-1.21.4-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL numpy-1.21.4-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
4c9c23158b87ed0e70d9a50c67e5c0b3f75bcf2581a8e34668d4e9d7474d76c6
BLAKE2b-256 checksum
How to use checksums
3666eb5884679375385e316cee793db61c557e9b1f3b99b8559c88ac14d7e561
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

Release files / numpy-1.21.4-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl

Download URL numpy-1.21.4-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
34f3456f530ae8b44231c63082c8899fe9c983fd9b108c997c4b1c8c2d435333
BLAKE2b-256 checksum
How to use checksums
27b3c43a915cab2c2548458debe259d2ae700f1478774c32328b86aeb522682c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

Release files / numpy-1.21.4-cp38-cp38-macosx_11_0_arm64.whl

Download URL numpy-1.21.4-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
1247ef28387b7bb7f21caf2dbe4767f4f4175df44d30604d42ad9bd701ebb31f
BLAKE2b-256 checksum
How to use checksums
77288953fb3710f5a44e40f6c15ea7499a4af0ad314525e1679c7f01446c811c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

Release files / numpy-1.21.4-cp38-cp38-macosx_10_9_x86_64.whl

Download URL numpy-1.21.4-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
2e4ed57f45f0aa38beca2a03b6532e70e548faf2debbeb3291cfc9b315d9be8f
BLAKE2b-256 checksum
How to use checksums
9795c3b2b3e5fcc641edf4711ff41797811b825899c52e673fc9364372c1d3e6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

Release files / numpy-1.21.4-cp38-cp38-macosx_10_9_universal2.whl

Download URL numpy-1.21.4-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
c449eb870616a7b62e097982c622d2577b3dbc800aaf8689254ec6e0197cbf1e
BLAKE2b-256 checksum
How to use checksums
6c8342f77c621abdeb7c1ed5c591f2b891300e8072875f4dbec0655029ba80ce
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

Release files / numpy-1.21.4-cp37-cp37m-win_amd64.whl

Download URL numpy-1.21.4-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
32fe5b12061f6446adcbb32cf4060a14741f9c21e15aaee59a207b6ce6423469
BLAKE2b-256 checksum
How to use checksums
9ae356f6241cf309ff2f6d1df97fc0ba42a156526efa09261ee53f08521b7da3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

Release files / numpy-1.21.4-cp37-cp37m-win32.whl

Download URL numpy-1.21.4-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
81225e58ef5fce7f1d80399575576fc5febec79a8a2742e8ef86d7b03beef49f
BLAKE2b-256 checksum
How to use checksums
a24042ddc0f9156e7d9d75ef2e7c78ab6f21619ba409c7934cccc32d6c0597ba
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

Release files / numpy-1.21.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL numpy-1.21.4-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
f5162ec777ba7138906c9c274353ece5603646c6965570d82905546579573f73
BLAKE2b-256 checksum
How to use checksums
5a2957691d477283b8683acac34ba8e9548f1f5ec936d041ab7abb6f81577d2a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

Release files / numpy-1.21.4-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Download URL numpy-1.21.4-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
5d95668e727c75b3f5088ec7700e260f90ec83f488e4c0aaccb941148b2cd377
BLAKE2b-256 checksum
How to use checksums
5b0dde55834c5ea0dd287cb1cb156c8bc120af2863c36e4d49b4dc28f174e278
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

Release files / numpy-1.21.4-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl

Download URL numpy-1.21.4-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
92aafa03da8658609f59f18722b88f0a73a249101169e28415b4fa148caf7e41
BLAKE2b-256 checksum
How to use checksums
22ef89ea0b24bde9ca2098f90a31a3b0156b1bb9d258307c6c30e7191a40bfb9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

Release files / numpy-1.21.4-cp37-cp37m-macosx_10_9_x86_64.whl

Download URL numpy-1.21.4-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
74b85a17528ca60cf98381a5e779fc0264b4a88b46025e6bcbe9621f46bb3e63
BLAKE2b-256 checksum
How to use checksums
5de41178a2e82d1c9abd696496d4f0fc2d09e346b43101829e08eb3ee558fd5d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

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

1.21.4 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