NumPy is the fundamental package for array computing with Python.
Project description
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
numpy-1.21.2.zip
(10.3 MB
view hashes)
Built Distributions
numpy-1.21.2-cp39-cp39-win32.whl
(11.7 MB
view hashes)
numpy-1.21.2-cp38-cp38-win32.whl
(11.7 MB
view hashes)
numpy-1.21.2-cp37-cp37m-win32.whl
(11.7 MB
view hashes)
Close
Hashes for numpy-1.21.2-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d96a6a7d74af56feb11e9a443150216578ea07b7450f7c05df40eec90af7f4a7 |
|
MD5 | 8c5d2a0172f6f6861833a355b1bc57b0 |
|
BLAKE2b-256 | 2c444210d16af96fe03f41c64bac2146435dc521a6e0457fdb3b5d15e1844578 |
Close
Hashes for numpy-1.21.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 51a7b9db0a2941434cd930dacaafe0fc9da8f3d6157f9d12f761bbde93f46218 |
|
MD5 | eb09d0bfc0bc39ce3e323182ae779fcb |
|
BLAKE2b-256 | 520b0bacc59bff3b52ecb276cec6674b751d9d403fc116a11306dc697b449c76 |
Close
Hashes for numpy-1.21.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 52a664323273c08f3b473548bf87c8145b7513afd63e4ebba8496ecd3853df13 |
|
MD5 | c4d72c5f8aff59b5e48face558441e9f |
|
BLAKE2b-256 | 641d24b83eb738ce77eb014777c1ae6480ad82c7599361735f0cfcb0d4788e57 |
Close
Hashes for numpy-1.21.2-cp39-cp39-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b5e8590b9245803c849e09bae070a8e1ff444f45e3f0bed558dd722119eea724 |
|
MD5 | 704f66b7ede6778283c33eea7a5b8b95 |
|
BLAKE2b-256 | 01d96e5f6cbd9d1fc90c6c8d96e70754700ed6f93f90f321f887a3f26bf65715 |
Close
Hashes for numpy-1.21.2-cp39-cp39-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 30fc68307c0155d2a75ad19844224be0f2c6f06572d958db4e2053f816b859ad |
|
MD5 | eedae53f1929779387476e7842dc5cb3 |
|
BLAKE2b-256 | a8c5cd1d947f68d7ec6ecdd5fbf651d7b0123a8b403b0b919f537b230ccd8582 |
Close
Hashes for numpy-1.21.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b342064e647d099ca765f19672696ad50c953cac95b566af1492fd142283580f |
|
MD5 | b8b19e6667e39feef9f7f2e030945199 |
|
BLAKE2b-256 | 01c53ac36428af637b48236a389aca0e39896dd66477d759f6831a593d56d248 |
Close
Hashes for numpy-1.21.2-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5de64950137f3a50b76ce93556db392e8f1f954c2d8207f78a92d1f79aa9f737 |
|
MD5 | ff4256d8940c6bdce48364af37f99072 |
|
BLAKE2b-256 | 7a4cdd00ce768b0f0f7de5c486cbd9f5b922bc3af2f3a5da30121d7f7dc03130 |
Close
Hashes for numpy-1.21.2-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 640c1ccfd56724f2955c237b6ccce2e5b8607c3bc1cc51d3933b8c48d1da3723 |
|
MD5 | 809bcd25dc485f31e2c13903d6ac748e |
|
BLAKE2b-256 | fe783a18a4a8a24a3fa5ca34ff3b0e855c19503dc6fb625b75a83bc17e4817e3 |
Close
Hashes for numpy-1.21.2-cp39-cp39-macosx_11_0_arm64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | fde50062d67d805bc96f1a9ecc0d37bfc2a8f02b937d2c50824d186aa91f2419 |
|
MD5 | 6e348361f3b8b75267dc27f3a6530944 |
|
BLAKE2b-256 | e866380373a412dda1f321773b3872dd0d1fcb4ceac7b8c62baf436a31ce4638 |
Close
Hashes for numpy-1.21.2-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 92a0ab128b07799dd5b9077a9af075a63467d03ebac6f8a93e6440abfea4120d |
|
MD5 | 20beaff42d793cb148621e0230d1b650 |
|
BLAKE2b-256 | 24adb1fc85dda2d40af2b28c70f741df80ee0e243502b61b33baf7fa150760f8 |
Close
Hashes for numpy-1.21.2-cp39-cp39-macosx_10_9_universal2.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | dd0e3651d210068d13e18503d75aaa45656eef51ef0b261f891788589db2cc38 |
|
MD5 | b6aee8cf57f84da10b38566bde93056c |
|
BLAKE2b-256 | cf964a0eed13a185da6f7e48f76739de86c21661fe6c2738f4630a628d5dcbcf |
Close
Hashes for numpy-1.21.2-cp38-cp38-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 466e682264b14982012887e90346d33435c984b7fead7b85e634903795c8fdb0 |
|
MD5 | 8a36334d9d183b1ef3e4d3d23b7d0cb8 |
|
BLAKE2b-256 | db67aa68c92b976b42403c9742b823bb74a007ed8f332764158f68998d260a01 |
Close
Hashes for numpy-1.21.2-cp38-cp38-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e167b9805de54367dcb2043519382be541117503ce99e3291cc9b41ca0a83557 |
|
MD5 | 351b5115ee56f1b598bfa9b479a2492c |
|
BLAKE2b-256 | db223f849b40d202bef2631c8d2234e6156a5c749e0dc9079d13bea95e9d231c |
Close
Hashes for numpy-1.21.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 550564024dc5ceee9421a86fc0fb378aa9d222d4d0f858f6669eff7410c89bef |
|
MD5 | 89e2268d8607b6b363337fafde9fe6c9 |
|
BLAKE2b-256 | 364b4116a1b27e02d186af2220945a549d09a38092944c55938f0af9e2e7b06b |
Close
Hashes for numpy-1.21.2-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7fdc7689daf3b845934d67cb221ba8d250fdca20ac0334fea32f7091b93f00d3 |
|
MD5 | 155a35f990b2e673cb7b361c83fa2313 |
|
BLAKE2b-256 | aa69260a4a1cc89cc00b51f432db048c396952f5c05dfa1345a1b3dbd9ea3544 |
Close
Hashes for numpy-1.21.2-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e42029e184008a5fd3d819323345e25e2337b0ac7f5c135b7623308530209d57 |
|
MD5 | 3ebfe9bcd744c57d3d189394fbbf04de |
|
BLAKE2b-256 | 6e7d261701d028b3e610f17fb4454eff7e528547b7ed4fed3bd26dec73ee8d6a |
Close
Hashes for numpy-1.21.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a9da45b748caad72ea4a4ed57e9cd382089f33c5ec330a804eb420a496fa760f |
|
MD5 | 5bede1a84624d538d97513006f97fc06 |
|
BLAKE2b-256 | 18d30b5dbf3dd99f6a645612dc8cd78c633130139d98afb5303a3ce09723609b |
Close
Hashes for numpy-1.21.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | bf75d5825ef47aa51d669b03ce635ecb84d69311e05eccea083f31c7570c9931 |
|
MD5 | e13968b5f61a3b2f33d4053da8ceaaf1 |
|
BLAKE2b-256 | c39f90cfafcb366c1292c646dbf9b2a5cf0b420e34e814acf0484d2f443482fc |
Close
Hashes for numpy-1.21.2-cp38-cp38-macosx_11_0_arm64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c01b59b33c7c3ba90744f2c695be571a3bd40ab2ba7f3d169ffa6db3cfba614f |
|
MD5 | 66b5a212ee2fe747cfc19f13dbfc2d15 |
|
BLAKE2b-256 | 1655ac6bb76315448882798d9079dcb012759f9d32c05f827d7c13f7e335d8bb |
Close
Hashes for numpy-1.21.2-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 209666ce9d4a817e8a4597cd475b71b4878a85fa4b8db41d79fdb4fdee01dde2 |
|
MD5 | ddef2b45ff5526e6314205108f2e3524 |
|
BLAKE2b-256 | 92565005c13251da910edaa9768840c6dd6a68df45b69f3d026bc43ab1a79f4b |
Close
Hashes for numpy-1.21.2-cp38-cp38-macosx_10_9_universal2.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a5109345f5ce7ddb3840f5970de71c34a0ff7fceb133c9441283bb8250f532a3 |
|
MD5 | e500c1eae3903b7498886721b835d086 |
|
BLAKE2b-256 | 6d2b167a5fc6d37b65ca9924f748add4d563240ae1505d47e5a28a4d4b19cf31 |
Close
Hashes for numpy-1.21.2-cp37-cp37m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b160b9a99ecc6559d9e6d461b95c8eec21461b332f80267ad2c10394b9503496 |
|
MD5 | 6f587dc9ee9ec8700e77df4f3f987911 |
|
BLAKE2b-256 | 3bd73e9f4291aaac0ccd61cd0b3ccfb3a192f3f2d6be8c86a02d0b93811ff1ee |
Close
Hashes for numpy-1.21.2-cp37-cp37m-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | f545c082eeb09ae678dd451a1b1dbf17babd8a0d7adea02897a76e639afca310 |
|
MD5 | ee45e263e6700b745c43511297385fe1 |
|
BLAKE2b-256 | 7990914f2bf7d5bfae92b1b9d8e730b347dacd613008045dd538e18c1c49d56d |
Close
Hashes for numpy-1.21.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 298156f4d3d46815eaf0fcf0a03f9625fc7631692bd1ad851517ab93c3168fc6 |
|
MD5 | 86b755c7ece248e5586a6a58259aa432 |
|
BLAKE2b-256 | 5c61b2f14fb5aa1198fa63c6c90205dc2557df5cacdeb0b16d66abc6af8724b8 |
Close
Hashes for numpy-1.21.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 426a00b68b0d21f2deb2ace3c6d677e611ad5a612d2c76494e24a562a930c254 |
|
MD5 | 9acbaf0074af75d66ca8676b16cec03a |
|
BLAKE2b-256 | 682d0fe6592a96a1da097a33fb87b9618197c8a1801e84c7483fa7b93794a87c |
Close
Hashes for numpy-1.21.2-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a55e4d81c4260386f71d22294795c87609164e22b28ba0d435850fbdf82fc0c5 |
|
MD5 | af7d21992179dfa3669a2a238b94a980 |
|
BLAKE2b-256 | 780117f8c6c865110694ae8e21ad84288860e6487f55f70c967fbbf43dd59f8f |
Close
Hashes for numpy-1.21.2-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 805459ad8baaf815883d0d6f86e45b3b0b67d823a8f3fa39b1ed9c45eaf5edf1 |
|
MD5 | 6f23a3050b1482f9708d36928348d75d |
|
BLAKE2b-256 | 8f3d7247b219c2c3bc5720a0ae963bf384df1f7f39c17330fcff2bd9d8640768 |
Close
Hashes for numpy-1.21.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 09858463db6dd9f78b2a1a05c93f3b33d4f65975771e90d2cf7aadb7c2f66edf |
|
MD5 | b45fbbb0ffabcabcc6dc4cf957713d45 |
|
BLAKE2b-256 | 134349ef25dd73f046f6d5205a5e52532e3b7efa15c42d5098a801bbe6c62cf0 |
Close
Hashes for numpy-1.21.2-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9f2dc79c093f6c5113718d3d90c283f11463d77daa4e83aeeac088ec6a0bda52 |
|
MD5 | e0bb19ea8cc13a5152085aa42d850077 |
|
BLAKE2b-256 | e05449206c6aba7d0e7d5a6e2f5b6760a00e35bb705e9d2be007be0a16e4ba40 |