NumPy is the fundamental package for array computing with Python.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for charlesr.harris from gravatar.com charlesr.harris Avatar for matthew.brett from gravatar.com matthew.brett Avatar for mattip from gravatar.com mattip Avatar for rgommers from gravatar.com rgommers Avatar for teoliphant from gravatar.com teoliphant

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: OSI Approved (BSD)
  • Author: Travis E. Oliphant et al.
  • Maintainer: NumPy Developers
  • Requires: Python >=3.6
Classifiers

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

Verified details

These details have been verified by PyPI
Maintainers
Avatar for charlesr.harris from gravatar.com charlesr.harris Avatar for matthew.brett from gravatar.com matthew.brett Avatar for mattip from gravatar.com mattip Avatar for rgommers from gravatar.com rgommers Avatar for teoliphant from gravatar.com teoliphant

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: OSI Approved (BSD)
  • Author: Travis E. Oliphant et al.
  • Maintainer: NumPy Developers
  • Requires: Python >=3.6
Classifiers

Release history Release notifications | RSS feed

2.1.3

2.1.2

2.1.1

2.1.0

2.1.0rc1 pre-release

2.0.2

2.0.1

2.0.0

1.26.4

1.26.3

1.26.2

1.26.1

1.26.0

1.25.2

1.25.1

1.25.0

1.24.4

1.24.3

1.24.2

1.24.1

1.24.0

1.23.5

1.23.4

1.23.3

1.23.2

1.23.1

1.23.0

1.22.4

1.22.3

1.22.2

1.22.1

1.22.0

1.21.6

1.21.5

1.21.4

1.21.3

1.21.2

1.21.1

1.21.0

1.20.3

1.20.2

1.20.1

1.20.0

1.19.5

1.19.4

1.19.3

1.19.2

1.19.1

This version

1.19.0

1.18.5

1.18.4

1.18.3

1.18.2

1.18.1

1.18.0

1.17.5

1.17.4

1.17.3

1.17.2

1.17.1

1.17.0

1.16.6

1.16.5

1.16.4

1.16.3

1.16.2

1.16.1

1.16.0

1.15.4

1.15.3

1.15.2

1.15.1

1.15.0

1.14.6

1.14.5

1.14.4

1.14.3

1.14.2

1.14.1

1.14.0

1.13.3

1.13.1

1.13.0

1.12.1

1.12.0

1.11.3

1.11.2

1.11.1

1.11.0

1.10.4

1.10.3

1.10.2

1.10.1

1.10.0

1.9.3

1.9.2

1.9.1

1.9.0

1.8.2

1.8.1

1.8.0

1.7.2

1.7.1

1.7.0

1.6.2

1.6.1

1.6.0

1.5.1

1.5.0

1.4.1

1.4.0

1.3.0

1.2.1

1.2.0

1.1.1

1.0.4

1.0.3

1.0

1.0rc3 pre-release

1.0rc2 pre-release

1.0rc1 pre-release

1.0b5 pre-release

1.0b4 pre-release

1.0b1 pre-release

0.9.8

0.9.6

Download files

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

Source Distribution

numpy-1.19.0.zip (7.3 MB view details)

Uploaded Source

Built Distributions

numpy-1.19.0-pp36-pypy36_pp73-manylinux2010_x86_64.whl (14.0 MB view details)

Uploaded PyPy manylinux: glibc 2.12+ x86-64

numpy-1.19.0-cp38-cp38-win_amd64.whl (13.0 MB view details)

Uploaded CPython 3.8 Windows x86-64

numpy-1.19.0-cp38-cp38-win32.whl (10.9 MB view details)

Uploaded CPython 3.8 Windows x86

numpy-1.19.0-cp38-cp38-manylinux2014_aarch64.whl (12.3 MB view details)

Uploaded CPython 3.8

numpy-1.19.0-cp38-cp38-manylinux2010_x86_64.whl (14.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

numpy-1.19.0-cp38-cp38-manylinux2010_i686.whl (12.3 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ i686

numpy-1.19.0-cp38-cp38-manylinux1_x86_64.whl (13.4 MB view details)

Uploaded CPython 3.8

numpy-1.19.0-cp38-cp38-manylinux1_i686.whl (11.5 MB view details)

Uploaded CPython 3.8

numpy-1.19.0-cp38-cp38-macosx_10_9_x86_64.whl (15.3 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

numpy-1.19.0-cp37-cp37m-win_amd64.whl (13.0 MB view details)

Uploaded CPython 3.7m Windows x86-64

numpy-1.19.0-cp37-cp37m-win32.whl (10.9 MB view details)

Uploaded CPython 3.7m Windows x86

numpy-1.19.0-cp37-cp37m-manylinux2014_aarch64.whl (12.2 MB view details)

Uploaded CPython 3.7m

numpy-1.19.0-cp37-cp37m-manylinux2010_x86_64.whl (14.6 MB view details)

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

numpy-1.19.0-cp37-cp37m-manylinux2010_i686.whl (12.3 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ i686

numpy-1.19.0-cp37-cp37m-manylinux1_x86_64.whl (13.5 MB view details)

Uploaded CPython 3.7m

numpy-1.19.0-cp37-cp37m-manylinux1_i686.whl (11.5 MB view details)

Uploaded CPython 3.7m

numpy-1.19.0-cp37-cp37m-macosx_10_9_x86_64.whl (15.3 MB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

numpy-1.19.0-cp36-cp36m-win_amd64.whl (13.0 MB view details)

Uploaded CPython 3.6m Windows x86-64

numpy-1.19.0-cp36-cp36m-win32.whl (10.9 MB view details)

Uploaded CPython 3.6m Windows x86

numpy-1.19.0-cp36-cp36m-manylinux2014_aarch64.whl (12.2 MB view details)

Uploaded CPython 3.6m

numpy-1.19.0-cp36-cp36m-manylinux2010_x86_64.whl (14.6 MB view details)

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

numpy-1.19.0-cp36-cp36m-manylinux2010_i686.whl (12.3 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.12+ i686

numpy-1.19.0-cp36-cp36m-manylinux1_x86_64.whl (13.5 MB view details)

Uploaded CPython 3.6m

numpy-1.19.0-cp36-cp36m-manylinux1_i686.whl (11.5 MB view details)

Uploaded CPython 3.6m

numpy-1.19.0-cp36-cp36m-macosx_10_9_x86_64.whl (15.4 MB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file numpy-1.19.0.zip.

File metadata

  • Download URL: numpy-1.19.0.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/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3

File hashes

Hashes for numpy-1.19.0.zip
Algorithm Hash digest
SHA256 76766cc80d6128750075378d3bb7812cf146415bd29b588616f72c943c00d598
MD5 3f5ce88a859302f0a1aceb5f75b563fc
BLAKE2b-256 f12c717bdd12404c73ec0c8c734c81a0bad7048866bc36a88a1b69fd52b01c07

See more details on using hashes here.

File details

Details for the file numpy-1.19.0-pp36-pypy36_pp73-manylinux2010_x86_64.whl.

File metadata

  • Download URL: numpy-1.19.0-pp36-pypy36_pp73-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 14.0 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/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3

File hashes

Hashes for numpy-1.19.0-pp36-pypy36_pp73-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 8cde829f14bd38f6da7b2954be0f2837043e8b8d7a9110ec5e318ae6bf706610
MD5 a26c769ffe249f02cb73e6fbec7ff9ca
BLAKE2b-256 3ebf757f747d0a09a9bcc833c5024c72d0d4b4ab1c26d207ed2692cc68a2aa5f

See more details on using hashes here.

File details

Details for the file numpy-1.19.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: numpy-1.19.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 13.0 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/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3

File hashes

Hashes for numpy-1.19.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 c2edbb783c841e36ca0fa159f0ae97a88ce8137fb3a6cd82eae77349ba4b607b
MD5 4e563e6434af5b90f1f99d9b916b2525
BLAKE2b-256 dff33fdea08ad680100b5e7abf810a154ce142a63266df1abfdca5cb0f66cca1

See more details on using hashes here.

File details

Details for the file numpy-1.19.0-cp38-cp38-win32.whl.

File metadata

  • Download URL: numpy-1.19.0-cp38-cp38-win32.whl
  • Upload date:
  • Size: 10.9 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/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3

File hashes

Hashes for numpy-1.19.0-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 a8705c5073fe3fcc297fb8e0b31aa794e05af6a329e81b7ca4ffecab7f2b95ef
MD5 d160b64e914c5f2e4807943c83dae54a
BLAKE2b-256 36f3d38f163624f01914e19868d15ac5fc7a612fcfbb30fd1ecb20d686551afa

See more details on using hashes here.

File details

Details for the file numpy-1.19.0-cp38-cp38-manylinux2014_aarch64.whl.

File metadata

  • Download URL: numpy-1.19.0-cp38-cp38-manylinux2014_aarch64.whl
  • Upload date:
  • Size: 12.3 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/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3

File hashes

Hashes for numpy-1.19.0-cp38-cp38-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7b57f26e5e6ee2f14f960db46bd58ffdca25ca06dd997729b1b179fddd35f5a3
MD5 560567c2b3017ed146c3d08b0a58cadb
BLAKE2b-256 5eafc5c302d5ddaadb1875552d4eb109925f1e818832d5f5b31663069d2c4dba

See more details on using hashes here.

File details

Details for the file numpy-1.19.0-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

  • Download URL: numpy-1.19.0-cp38-cp38-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 14.6 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/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3

File hashes

Hashes for numpy-1.19.0-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 26f509450db547e4dfa3ec739419b31edad646d21fb8d0ed0734188b35ff6b27
MD5 ca83ee74cbdac0ffe3ec2c8c79294d67
BLAKE2b-256 57555366b0afed57facaf887b05f0e98c887a9e27021e3f4e78a26a6d535e538

See more details on using hashes here.

File details

Details for the file numpy-1.19.0-cp38-cp38-manylinux2010_i686.whl.

File metadata

  • Download URL: numpy-1.19.0-cp38-cp38-manylinux2010_i686.whl
  • Upload date:
  • Size: 12.3 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/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3

File hashes

Hashes for numpy-1.19.0-cp38-cp38-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 33c623ef9ca5e19e05991f127c1be5aeb1ab5cdf30cb1c5cf3960752e58b599b
MD5 6f6dec62163fa21259b7157516cc9e84
BLAKE2b-256 e043790a3d0002cbb65eef17ff5d592a75d30db0b1bc8479875a875c6dd1fb2d

See more details on using hashes here.

File details

Details for the file numpy-1.19.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: numpy-1.19.0-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/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3

File hashes

Hashes for numpy-1.19.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 df1889701e2dfd8ba4dc9b1a010f0a60950077fb5242bb92c8b5c7f1a6f2668a
MD5 11b7a5b055bb1417c8935d267b7d88de
BLAKE2b-256 7e60eb005bde9ed4861096ad93ba6b791d5293c2f24a6f699800348c23fc67d5

See more details on using hashes here.

File details

Details for the file numpy-1.19.0-cp38-cp38-manylinux1_i686.whl.

File metadata

  • Download URL: numpy-1.19.0-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/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3

File hashes

Hashes for numpy-1.19.0-cp38-cp38-manylinux1_i686.whl
Algorithm Hash digest
SHA256 30a59fb41bb6b8c465ab50d60a1b298d1cd7b85274e71f38af5a75d6c475d2d2
MD5 ea9f4248d9ba0c647e07427cb542c2bf
BLAKE2b-256 2281ad6125344ba81a988d7c8f184af8bd829b97bb88c2a96a40f3e4d3f4083a

See more details on using hashes here.

File details

Details for the file numpy-1.19.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: numpy-1.19.0-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 15.3 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/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3

File hashes

Hashes for numpy-1.19.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 dd53d7c4a69e766e4900f29db5872f5824a06827d594427cf1a4aa542818b796
MD5 09f870d54906d964bd0f93b22695f9ae
BLAKE2b-256 fe8992751677843f0a81a10d0befff7cb213d8309566c14216a1c57f01b6fd39

See more details on using hashes here.

File details

Details for the file numpy-1.19.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: numpy-1.19.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 13.0 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/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3

File hashes

Hashes for numpy-1.19.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 be62aeff8f2f054eff7725f502f6228298891fd648dc2630e03e44bf63e8cee0
MD5 d75a6104a6cce3c669e2363470d567bc
BLAKE2b-256 72ddfcb5046365a1c3edd8e6d5824e58a1065682b90d475dceac0d55f68764c3

See more details on using hashes here.

File details

Details for the file numpy-1.19.0-cp37-cp37m-win32.whl.

File metadata

  • Download URL: numpy-1.19.0-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 10.9 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/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3

File hashes

Hashes for numpy-1.19.0-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 3c40c827d36c6d1c3cf413694d7dc843d50997ebffbc7c87d888a203ed6403a7
MD5 760e6b5681eea93cf6c85bcd1a739068
BLAKE2b-256 2e34f44f6cb479fa1bb725ae2892b022b0d4116dfc4157576b7b1ef8b41c3b9e

See more details on using hashes here.

File details

Details for the file numpy-1.19.0-cp37-cp37m-manylinux2014_aarch64.whl.

File metadata

  • Download URL: numpy-1.19.0-cp37-cp37m-manylinux2014_aarch64.whl
  • Upload date:
  • Size: 12.2 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/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3

File hashes

Hashes for numpy-1.19.0-cp37-cp37m-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 26a45798ca2a4e168d00de75d4a524abf5907949231512f372b217ede3429e98
MD5 62dbe6623e9aebd2bb1aef6d1e0f815d
BLAKE2b-256 fff71afe4da12e6cdcd32c434a9b020e22a58dc4e49a43e226638e6028b0ee06

See more details on using hashes here.

File details

Details for the file numpy-1.19.0-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: numpy-1.19.0-cp37-cp37m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 14.6 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/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3

File hashes

Hashes for numpy-1.19.0-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 4d054f013a1983551254e2379385e359884e5af105e3efe00418977d02f634a7
MD5 27af6195869cd518f5d2a71885f21806
BLAKE2b-256 a831e2c3eda7afe7dab08e1f24767b8e38ff2f30dc82bd74aa3a5324c550366a

See more details on using hashes here.

File details

Details for the file numpy-1.19.0-cp37-cp37m-manylinux2010_i686.whl.

File metadata

  • Download URL: numpy-1.19.0-cp37-cp37m-manylinux2010_i686.whl
  • Upload date:
  • Size: 12.3 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/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3

File hashes

Hashes for numpy-1.19.0-cp37-cp37m-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 658624a11f6e1c252b2cd170d94bf28c8f9410acab9f2fd4369e11e1cd4e1aaf
MD5 a471c34d7a07468c09696165eae0cd57
BLAKE2b-256 fb2b7ca6d0625f456524c35aa3533bbfcc6928c76f14fbf430102eb71ca2b22c

See more details on using hashes here.

File details

Details for the file numpy-1.19.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: numpy-1.19.0-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 13.5 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/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3

File hashes

Hashes for numpy-1.19.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 d34fbb98ad0d6b563b95de852a284074514331e6b9da0a9fc894fb1cdae7a79e
MD5 27227fdd6329f098fc9a85e9d40b1916
BLAKE2b-256 b49376311932b0c7efd3111f6604609f36d568b912e16bebd86d99f0612d3930

See more details on using hashes here.

File details

Details for the file numpy-1.19.0-cp37-cp37m-manylinux1_i686.whl.

File metadata

  • Download URL: numpy-1.19.0-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/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3

File hashes

Hashes for numpy-1.19.0-cp37-cp37m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 a86c962e211f37edd61d6e11bb4df7eddc4a519a38a856e20a6498c319efa6b0
MD5 012026c54f196b8f342e4b49cb4b9294
BLAKE2b-256 bd471df1c81ffdfc676a2ad2fbf9a21dec02f94171b485b2bc6653dc0d9ffca3

See more details on using hashes here.

File details

Details for the file numpy-1.19.0-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: numpy-1.19.0-cp37-cp37m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 15.3 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/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3

File hashes

Hashes for numpy-1.19.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 d97a86937cf9970453c3b62abb55a6475f173347b4cde7f8dcdb48c8e1b9952d
MD5 3f939fa2f3b2f881862f7e02a0116970
BLAKE2b-256 5cf50e5e57fa7683cf0e5036320f4676cd7e3dbd9ab8c17ada541c2bb5ebed5e

See more details on using hashes here.

File details

Details for the file numpy-1.19.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: numpy-1.19.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 13.0 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/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3

File hashes

Hashes for numpy-1.19.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 7b852817800eb02e109ae4a9cef2beda8dd50d98b76b6cfb7b5c0099d27b52d4
MD5 e0548c4ec436abb249d2e59ed5fd727f
BLAKE2b-256 4ea07c78c8a2bb3f93eda58c4397936b669952051eef355e9e87a61ac29609e1

See more details on using hashes here.

File details

Details for the file numpy-1.19.0-cp36-cp36m-win32.whl.

File metadata

  • Download URL: numpy-1.19.0-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 10.9 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/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3

File hashes

Hashes for numpy-1.19.0-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 a2e3a39f43f0ce95204beb8fe0831199542ccab1e0c6e486a0b4947256215632
MD5 5d2a0e9c23383abed01c2795c6e9f2c1
BLAKE2b-256 89e78959b79c1f2cf159152e2676fadca1f63e5fe3a30cbdf208287a9dd7de27

See more details on using hashes here.

File details

Details for the file numpy-1.19.0-cp36-cp36m-manylinux2014_aarch64.whl.

File metadata

  • Download URL: numpy-1.19.0-cp36-cp36m-manylinux2014_aarch64.whl
  • Upload date:
  • Size: 12.2 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/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3

File hashes

Hashes for numpy-1.19.0-cp36-cp36m-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 cbe326f6d364375a8e5a8ccb7e9cd73f4b2f6dc3b2ed205633a0db8243e2a96a
MD5 b35af24ffa550054aadb620f6afb7d67
BLAKE2b-256 999fa09408a63a2c72a000fff0001a1d9328e160c17e41ef7bcb3a18ace38375

See more details on using hashes here.

File details

Details for the file numpy-1.19.0-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: numpy-1.19.0-cp36-cp36m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 14.6 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/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3

File hashes

Hashes for numpy-1.19.0-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 fa1fe75b4a9e18b66ae7f0b122543c42debcf800aaafa0212aaff3ad273c2596
MD5 3b35908cd21ce6558ec61806bbc9efee
BLAKE2b-256 930b71ae818646c1a80fbe6776d41f480649523ed31243f1f34d9d7e41d70195

See more details on using hashes here.

File details

Details for the file numpy-1.19.0-cp36-cp36m-manylinux2010_i686.whl.

File metadata

  • Download URL: numpy-1.19.0-cp36-cp36m-manylinux2010_i686.whl
  • Upload date:
  • Size: 12.3 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/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3

File hashes

Hashes for numpy-1.19.0-cp36-cp36m-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 356f96c9fbec59974a592452ab6a036cd6f180822a60b529a975c9467fcd5f23
MD5 23a76cbf0cec80d59d48f2342de13cb2
BLAKE2b-256 d5e77846655e12d3cb1e1c9884e8ffe3e8cb9ed2846c27156ea1c4a8d2ffb57f

See more details on using hashes here.

File details

Details for the file numpy-1.19.0-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: numpy-1.19.0-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 13.5 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/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3

File hashes

Hashes for numpy-1.19.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 13af0184177469192d80db9bd02619f6fa8b922f9f327e077d6f2a6acb1ce1c0
MD5 fe0d7f18fd5af93cb027fe0e2462b3bc
BLAKE2b-256 0016476826a84d545424084499763248abbbdc73d065168efed9aa71cdf2a7dc

See more details on using hashes here.

File details

Details for the file numpy-1.19.0-cp36-cp36m-manylinux1_i686.whl.

File metadata

  • Download URL: numpy-1.19.0-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/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3

File hashes

Hashes for numpy-1.19.0-cp36-cp36m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 b6aaeadf1e4866ca0fdf7bb4eed25e521ae21a7947c59f78154b24fc7abbe1dd
MD5 2117953099e3343e6ac642de66c7127f
BLAKE2b-256 bd6815918e5fe050d5099086e16a76052672351f70d8c3aed09d48988509f395

See more details on using hashes here.

File details

Details for the file numpy-1.19.0-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: numpy-1.19.0-cp36-cp36m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 15.4 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/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3

File hashes

Hashes for numpy-1.19.0-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 63d971bb211ad3ca37b2adecdd5365f40f3b741a455beecba70fd0dde8b2a4cb
MD5 17e9b15e5b54f6963da30e9de93437b8
BLAKE2b-256 d06f26dd9a193c7292954c0afdaa9ed7c0f2595505388b7bd104dbe04669087a

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