Skip to main content

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-1.19.3.zip (7.3 MB view details)

Uploaded Source

Built Distributions

numpy-1.19.3-pp36-pypy36_pp73-manylinux2010_x86_64.whl (14.3 MB view details)

Uploaded PyPy manylinux: glibc 2.12+ x86-64

numpy-1.19.3-cp39-cp39-win_amd64.whl (13.3 MB view details)

Uploaded CPython 3.9 Windows x86-64

numpy-1.19.3-cp39-cp39-win32.whl (11.0 MB view details)

Uploaded CPython 3.9 Windows x86

numpy-1.19.3-cp39-cp39-manylinux2014_aarch64.whl (12.4 MB view details)

Uploaded CPython 3.9

numpy-1.19.3-cp39-cp39-manylinux2010_x86_64.whl (14.9 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ x86-64

numpy-1.19.3-cp39-cp39-manylinux2010_i686.whl (12.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ i686

numpy-1.19.3-cp39-cp39-manylinux1_x86_64.whl (13.4 MB view details)

Uploaded CPython 3.9

numpy-1.19.3-cp39-cp39-manylinux1_i686.whl (11.5 MB view details)

Uploaded CPython 3.9

numpy-1.19.3-cp39-cp39-macosx_10_9_x86_64.whl (15.9 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

numpy-1.19.3-cp38-cp38-win_amd64.whl (13.3 MB view details)

Uploaded CPython 3.8 Windows x86-64

numpy-1.19.3-cp38-cp38-win32.whl (11.0 MB view details)

Uploaded CPython 3.8 Windows x86

numpy-1.19.3-cp38-cp38-manylinux2014_aarch64.whl (12.4 MB view details)

Uploaded CPython 3.8

numpy-1.19.3-cp38-cp38-manylinux2010_x86_64.whl (14.9 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

numpy-1.19.3-cp38-cp38-manylinux2010_i686.whl (12.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ i686

numpy-1.19.3-cp38-cp38-manylinux1_x86_64.whl (13.4 MB view details)

Uploaded CPython 3.8

numpy-1.19.3-cp38-cp38-manylinux1_i686.whl (11.5 MB view details)

Uploaded CPython 3.8

numpy-1.19.3-cp38-cp38-macosx_10_9_x86_64.whl (15.9 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

numpy-1.19.3-cp37-cp37m-win_amd64.whl (13.2 MB view details)

Uploaded CPython 3.7m Windows x86-64

numpy-1.19.3-cp37-cp37m-win32.whl (11.0 MB view details)

Uploaded CPython 3.7m Windows x86

numpy-1.19.3-cp37-cp37m-manylinux2014_aarch64.whl (12.4 MB view details)

Uploaded CPython 3.7m

numpy-1.19.3-cp37-cp37m-manylinux2010_x86_64.whl (14.9 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ x86-64

numpy-1.19.3-cp37-cp37m-manylinux2010_i686.whl (12.6 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ i686

numpy-1.19.3-cp37-cp37m-manylinux1_x86_64.whl (13.4 MB view details)

Uploaded CPython 3.7m

numpy-1.19.3-cp37-cp37m-manylinux1_i686.whl (11.5 MB view details)

Uploaded CPython 3.7m

numpy-1.19.3-cp37-cp37m-macosx_10_9_x86_64.whl (15.8 MB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

numpy-1.19.3-cp36-cp36m-win_amd64.whl (13.2 MB view details)

Uploaded CPython 3.6m Windows x86-64

numpy-1.19.3-cp36-cp36m-win32.whl (11.0 MB view details)

Uploaded CPython 3.6m Windows x86

numpy-1.19.3-cp36-cp36m-manylinux2014_aarch64.whl (12.4 MB view details)

Uploaded CPython 3.6m

numpy-1.19.3-cp36-cp36m-manylinux2010_x86_64.whl (14.9 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.12+ x86-64

numpy-1.19.3-cp36-cp36m-manylinux2010_i686.whl (12.6 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.12+ i686

numpy-1.19.3-cp36-cp36m-manylinux1_x86_64.whl (13.4 MB view details)

Uploaded CPython 3.6m

numpy-1.19.3-cp36-cp36m-manylinux1_i686.whl (11.5 MB view details)

Uploaded CPython 3.6m

numpy-1.19.3-cp36-cp36m-macosx_10_9_x86_64.whl (15.9 MB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file numpy-1.19.3.zip.

File metadata

  • Download URL: numpy-1.19.3.zip
  • Upload date:
  • Size: 7.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3.zip
Algorithm Hash digest
SHA256 35bf5316af8dc7c7db1ad45bec603e5fb28671beb98ebd1d65e8059efcfd3b72
MD5 7f014f9964987b59083c8dc4d158d45a
BLAKE2b-256 cbc07b3d69e6ee68bc54c97ba51f8c3c3e43ff1dbc7bd97347cc19a1f944e60a

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-pp36-pypy36_pp73-manylinux2010_x86_64.whl.

File metadata

  • Download URL: numpy-1.19.3-pp36-pypy36_pp73-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 14.3 MB
  • Tags: PyPy, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-pp36-pypy36_pp73-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 9a0669787ba8c9d3bb5de5d9429208882fb47764aa79123af25c5edc4f5966b9
MD5 ed5bd59a064fe5b95699c222dc7a4638
BLAKE2b-256 354895b579f3a19846adeb55b6ed4571f2bd6b27ec255ca147c15ed03087cde2

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: numpy-1.19.3-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 13.3 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 83af653bb92d1e248ccf5fdb05ccc934c14b936bcfe9b917dc180d3f00250ac6
MD5 54fa685b3d30585763f59a7b2be7279b
BLAKE2b-256 47d841f71e08248b487e90eb6b5823077e93a8991be92b026b9727d4478e83af

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp39-cp39-win32.whl.

File metadata

  • Download URL: numpy-1.19.3-cp39-cp39-win32.whl
  • Upload date:
  • Size: 11.0 MB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 1ea7e859f16e72ab81ef20aae69216cfea870676347510da9244805ff9670170
MD5 cd4363bde576c997bf737f420a85683a
BLAKE2b-256 faf2ee5cd9321ff158e78bbf428025369274878a4d67002dec41ca4ce12ac799

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp39-cp39-manylinux2014_aarch64.whl.

File metadata

  • Download URL: numpy-1.19.3-cp39-cp39-manylinux2014_aarch64.whl
  • Upload date:
  • Size: 12.4 MB
  • Tags: CPython 3.9
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp39-cp39-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 741d95eb2b505bb7a99fbf4be05fa69f466e240c2b4f2d3ddead4f1b5f82a5a5
MD5 75097b6e154469c63c50c8f7eaf52a89
BLAKE2b-256 4a0b8e78d5358863518e6726f839240902f49a71749d9698d33ed5c9ea84e1b8

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp39-cp39-manylinux2010_x86_64.whl.

File metadata

  • Download URL: numpy-1.19.3-cp39-cp39-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 14.9 MB
  • Tags: CPython 3.9, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp39-cp39-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 50d3513469acf5b2c0406e822d3f314d7ac5788c2b438c24e5dd54d5a81ef522
MD5 fc0b0c73c5508247d21beb42cf3fff66
BLAKE2b-256 c38d2ae53d96a92a66b8daa3dfb2dd6cf4bfcb8e3d4148bdd713c8fc7de83141

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp39-cp39-manylinux2010_i686.whl.

File metadata

  • Download URL: numpy-1.19.3-cp39-cp39-manylinux2010_i686.whl
  • Upload date:
  • Size: 12.6 MB
  • Tags: CPython 3.9, manylinux: glibc 2.12+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp39-cp39-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 51e8d2ae7c7e985c7bebf218e56f72fa93c900ad0c8a7d9fbbbf362f45710f69
MD5 3164ede05e3a5d28dd8bd66aee56928c
BLAKE2b-256 f7ca46271f210e884f8c51402ef6836c40f5f909d9deb60082e9f5b2de94cc3d

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp39-cp39-manylinux1_x86_64.whl.

File metadata

  • Download URL: numpy-1.19.3-cp39-cp39-manylinux1_x86_64.whl
  • Upload date:
  • Size: 13.4 MB
  • Tags: CPython 3.9
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 c4aa79993f5d856765819a3651117520e41ac3f89c3fc1cb6dee11aa562df6da
MD5 26414c3db751ca4735f744b239bf9703
BLAKE2b-256 fdb49bb2a564e521b1625b90f7ed656e20649509ff316763e5f8b72c9b043667

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp39-cp39-manylinux1_i686.whl.

File metadata

  • Download URL: numpy-1.19.3-cp39-cp39-manylinux1_i686.whl
  • Upload date:
  • Size: 11.5 MB
  • Tags: CPython 3.9
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp39-cp39-manylinux1_i686.whl
Algorithm Hash digest
SHA256 8802d23e4895e0c65e418abe67cdf518aa5cbb976d97f42fd591f921d6dffad0
MD5 f683469f18abc8c84aa831d9e78f4eb6
BLAKE2b-256 2b2f59b3481b3add992a561da6fddedec67e329efcb01a901702ee81088c1299

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: numpy-1.19.3-cp39-cp39-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 15.9 MB
  • Tags: CPython 3.9, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 9f7f56b5e85b08774939622b7d45a5d00ff511466522c44fc0756ac7692c00f2
MD5 fda3cdf138516040cad3de66496cf670
BLAKE2b-256 c4b0d9d96d7d93db90609e601da059554e80cef14e416d7683010819033945b9

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: numpy-1.19.3-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 13.3 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 dfdc8b53aa9838b9d44ed785431ca47aa3efaa51d0d5dd9c412ab5247151a7c4
MD5 af140a06f216c4100dc93c4135003d10
BLAKE2b-256 a42313d2991c156cfd22bfd4a9ae6dcb1a9372004a0e16508b680d17f3280eb4

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp38-cp38-win32.whl.

File metadata

  • Download URL: numpy-1.19.3-cp38-cp38-win32.whl
  • Upload date:
  • Size: 11.0 MB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 a2daea1cba83210c620e359de2861316f49cc7aea8e9a6979d6cb2ddab6dda8c
MD5 f978618640860e72b91c522f4e4085af
BLAKE2b-256 4938eaab1f2b84b52548590a4360be57c69a32d40cf8f484b08a114cd6a9ece1

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp38-cp38-manylinux2014_aarch64.whl.

File metadata

  • Download URL: numpy-1.19.3-cp38-cp38-manylinux2014_aarch64.whl
  • Upload date:
  • Size: 12.4 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp38-cp38-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 604d2e5a31482a3ad2c88206efd43d6fcf666ada1f3188fd779b4917e49b7a98
MD5 969a13b40fceb950021e297d5427f329
BLAKE2b-256 73ec329ea555642973e8171827ee42a936e65c77905acc8dd45c80d4019fb69b

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

  • Download URL: numpy-1.19.3-cp38-cp38-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 14.9 MB
  • Tags: CPython 3.8, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 5ea4401ada0d3988c263df85feb33818dc995abc85b8125f6ccb762009e7bc68
MD5 d26cfa5ad6f4aa6beb42246efc45f565
BLAKE2b-256 bf69ea28cb47112f96c457d975569bd9b41fc856fa370c820644fc2fc4b5a87b

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp38-cp38-manylinux2010_i686.whl.

File metadata

  • Download URL: numpy-1.19.3-cp38-cp38-manylinux2010_i686.whl
  • Upload date:
  • Size: 12.6 MB
  • Tags: CPython 3.8, manylinux: glibc 2.12+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp38-cp38-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 dffed17848e8b968d8d3692604e61881aa6ef1f8074c99e81647ac84f6038535
MD5 9b2b05db89068d1f3f32a231f3953355
BLAKE2b-256 ffce4c71ecef46092c200d8716fa053b2ab56cbfa6c4692b80e419362f1d947e

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: numpy-1.19.3-cp38-cp38-manylinux1_x86_64.whl
  • Upload date:
  • Size: 13.4 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 199bebc296bd8a5fc31c16f256ac873dd4d5b4928dfd50e6c4995570fc71a8f3
MD5 81cc1993ac8da61fea677a7eb49989e8
BLAKE2b-256 470e3ec0e737597fd7ddf343b6f243144fd7ea6ff3a2dcfe1e89857072dae79b

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp38-cp38-manylinux1_i686.whl.

File metadata

  • Download URL: numpy-1.19.3-cp38-cp38-manylinux1_i686.whl
  • Upload date:
  • Size: 11.5 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp38-cp38-manylinux1_i686.whl
Algorithm Hash digest
SHA256 d78294f1c20f366cde8a75167f822538a7252b6e8b9d6dbfb3bdab34e7c1929e
MD5 8ac57941de395be58376611b211ea571
BLAKE2b-256 a8818bf696f64906dc8440834a225679e2a0aa30a9bb04a37fcfe849f77e91d6

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: numpy-1.19.3-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 15.9 MB
  • Tags: CPython 3.8, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e983cbabe10a8989333684c98fdc5dd2f28b236216981e0c26ed359aaa676772
MD5 c64b6538e07bca9d84287eebb3f3a01b
BLAKE2b-256 cf7d642c5619482d032ac87f07b4944b9305f21bd2f6ee426ebc2e8595fe2f7b

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: numpy-1.19.3-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 13.2 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 271139653e8b7a046d11a78c0d33bafbddd5c443a5b9119618d0652a4eb3a09f
MD5 d372be03d9e57e5e0e1372bf39391241
BLAKE2b-256 e8c89a55f91d4a08652095bdbdfb3b2bb98e7d61146ef3341e3744bc3e7d7021

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp37-cp37m-win32.whl.

File metadata

  • Download URL: numpy-1.19.3-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 11.0 MB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 0ee77786eebbfa37f2141fd106b549d37c89207a0d01d8852fde1c82e9bfc0e7
MD5 f29846178b82bd4e8db1685a6e911336
BLAKE2b-256 00aaa3a61b043cb015acf190702a0f96625b74ec36f11980764d043a00e9513a

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp37-cp37m-manylinux2014_aarch64.whl.

File metadata

  • Download URL: numpy-1.19.3-cp37-cp37m-manylinux2014_aarch64.whl
  • Upload date:
  • Size: 12.4 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp37-cp37m-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 ea6171d2d8d648dee717457d0f75db49ad8c2f13100680e284d7becf3dc311a6
MD5 18d911f7f462ee98333de9579adde331
BLAKE2b-256 a21a4f0d99910bcb7a0dcc94f78f47685183d963fa42d864cc80a837920f2309

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: numpy-1.19.3-cp37-cp37m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 14.9 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 463792a249a81b9eb2b63676347f996d3f0082c2666fd0604f4180d2e5445996
MD5 74a9f9dab6f00bcf56096eaa910c48b9
BLAKE2b-256 65b307864c89acb2a86df6f2e8c9bf091ec5916da58dd3ce3a633a51a02c115e

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp37-cp37m-manylinux2010_i686.whl.

File metadata

  • Download URL: numpy-1.19.3-cp37-cp37m-manylinux2010_i686.whl
  • Upload date:
  • Size: 12.6 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.12+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp37-cp37m-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 b9074d062d30c2779d8af587924f178a539edde5285d961d2dfbecbac9c4c931
MD5 e61aaf0c971b667c5fed8b5de3773c6d
BLAKE2b-256 d9cabcabed690c27c304965a58e36664e06160e711fca1a369a3b11611dd7fec

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: numpy-1.19.3-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 13.4 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 50f68ebc439821b826823a8da6caa79cd080dee2a6d5ab9f1163465a060495ed
MD5 96008f5c61368d4cd967ecd474525df6
BLAKE2b-256 ecb759f5e75e4f2c9c07b7e651d2ef7502354b254d73bec8c68df30a2d243c9f

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp37-cp37m-manylinux1_i686.whl.

File metadata

  • Download URL: numpy-1.19.3-cp37-cp37m-manylinux1_i686.whl
  • Upload date:
  • Size: 11.5 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp37-cp37m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 e080087148fd70469aade2abfeadee194357defd759f9b59b349c6192aba994c
MD5 ebe09a5e206db0de65154ef75377f963
BLAKE2b-256 7ae64ccdcc5d127f157c046651cbb38eaccf41821f913d02b633205e3cd0cda6

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: numpy-1.19.3-cp37-cp37m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 15.8 MB
  • Tags: CPython 3.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 6ff88bcf1872b79002569c63fe26cd2cda614e573c553c4d5b814fb5eb3d2822
MD5 9143b46601bc0457dd42795a71ccd2f1
BLAKE2b-256 45f3f72071f9339638121c558f7ded890a55427472ac71828ca6141e9941234d

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: numpy-1.19.3-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 13.2 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 eefc13863bf01583a85e8c1121a901cc7cb8f059b960c4eba30901e2e6aba95f
MD5 5aa36a829a7ce0a89e6fea502d4fa9ea
BLAKE2b-256 c0d7fae31ed42256558cad59a13df72ba1312dcb6d303c0f97d918080577be74

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp36-cp36m-win32.whl.

File metadata

  • Download URL: numpy-1.19.3-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 11.0 MB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 522053b731e11329dd52d258ddf7de5288cae7418b55e4b7d32f0b7e31787e9d
MD5 96e6ec05aca18516c8a5961c17a0cac6
BLAKE2b-256 df88366fc356df427959dfd45a426917b755704385b6d82f69b26bf41dd4556e

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp36-cp36m-manylinux2014_aarch64.whl.

File metadata

  • Download URL: numpy-1.19.3-cp36-cp36m-manylinux2014_aarch64.whl
  • Upload date:
  • Size: 12.4 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp36-cp36m-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 8edc4d687a74d0a5f8b9b26532e860f4f85f56c400b3a98899fc44acb5e27add
MD5 da02c95dcf0acf7688aebaba7ba2750d
BLAKE2b-256 29a141c7c77b471baedd83d167911f73fe2e2fd76ac87474a1480113a15988ac

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: numpy-1.19.3-cp36-cp36m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 14.9 MB
  • Tags: CPython 3.6m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 7197ee0a25629ed782c7bd01871ee40702ffeef35bc48004bc2fdcc71e29ba9d
MD5 8c7d422f147392bd31f9e5bfc41a170e
BLAKE2b-256 0ef7a7d7e0de99a7b43bd95aaddcf29e65b5a185ca389dd1329a53cc986edc38

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp36-cp36m-manylinux2010_i686.whl.

File metadata

  • Download URL: numpy-1.19.3-cp36-cp36m-manylinux2010_i686.whl
  • Upload date:
  • Size: 12.6 MB
  • Tags: CPython 3.6m, manylinux: glibc 2.12+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp36-cp36m-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 9d08d84bb4128abb9fbd9f073e5c69f70e5dab991a9c42e5b4081ea5b01b5db0
MD5 e66cf5ea007a9b567be2b1a901b3d2e0
BLAKE2b-256 46c3f4df90ff53c4dcadd18cb594fca35182697e590c7f9280e73e15391ac492

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: numpy-1.19.3-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 13.4 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 1a307bdd3dd444b1d0daa356b5f4c7de2e24d63bdc33ea13ff718b8ec4c6a268
MD5 95f19f0b6c60a755a8454f22eb15f4d6
BLAKE2b-256 8f40ddb5109614aabad67e6fe426b3579a879b7b3cdd375eb27af467c4367ae0

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp36-cp36m-manylinux1_i686.whl.

File metadata

  • Download URL: numpy-1.19.3-cp36-cp36m-manylinux1_i686.whl
  • Upload date:
  • Size: 11.5 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp36-cp36m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 efd656893171bbf1331beca4ec9f2e74358fc732a2084f664fd149cc4b3441d2
MD5 02323e4a20e14e6f7cded1c55f6a0afe
BLAKE2b-256 df219b5d17dc19efadb93adee718b7aed6685aae557a948b40b675e18cd59d9f

See more details on using hashes here.

File details

Details for the file numpy-1.19.3-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: numpy-1.19.3-cp36-cp36m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 15.9 MB
  • Tags: CPython 3.6m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.6

File hashes

Hashes for numpy-1.19.3-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 942d2cdcb362739908c26ce8dd88db6e139d3fa829dd7452dd9ff02cba6b58b2
MD5 e5c6c782b2f112c32dcc38242521ec83
BLAKE2b-256 e0aff0162434a9a6c92387dff095acc4ad143aae96065225d888f9151dcd667c

See more details on using hashes here.

Supported by

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