NumPy: array processing for numbers, strings, records, and objects.

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
Classifiers

Project description

NumPy is a general-purpose array-processing package designed to

efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type which also makes NumPy suitable for interfacing with general-purpose data-base applications.

There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation.

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
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

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

This version

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-1.5.1.tar.gz (2.3 MB view details)

Uploaded Source

Built Distributions

numpy-1.5.1.win32-py3.1-nosse.exe (2.5 MB view details)

Uploaded Source

numpy-1.5.1.win32-py2.7-nosse.exe (2.3 MB view details)

Uploaded Source

numpy-1.5.1.win32-py2.6-nosse.exe (2.3 MB view details)

Uploaded Source

numpy-1.5.1.win32-py2.5-nosse.exe (2.9 MB view details)

Uploaded Source

numpy-1.5.1-cp27-none-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.whl (10.7 MB view details)

Uploaded CPython 2.7 macOS 10.6+ intel macOS 10.9+ intel macOS 10.9+ x86-64

File details

Details for the file numpy-1.5.1.tar.gz.

File metadata

  • Download URL: numpy-1.5.1.tar.gz
  • Upload date:
  • Size: 2.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for numpy-1.5.1.tar.gz
Algorithm Hash digest
SHA256 c36789ec381fec09f519249744ea36a77e5534b69446a59ee73b06cac29542eb
MD5 376ef150df41b5353944ab742145352d
BLAKE2b-256 73e188932bb0420a0fbe1547ee96d4e7332de5c1ed5a846a6c96ea422c6bf753

See more details on using hashes here.

File details

Details for the file numpy-1.5.1.win32-py3.1-nosse.exe.

File metadata

File hashes

Hashes for numpy-1.5.1.win32-py3.1-nosse.exe
Algorithm Hash digest
SHA256 8821b7d0c926858e81d11b13336edd6e0d4569d0179c9568ae08011658912823
MD5 13c5ebdd920f2c756602358135fd7196
BLAKE2b-256 3fc92aa4f6426c7b8e4a227834ecb10da666c35791510bc1ae11bf6e87398c18

See more details on using hashes here.

File details

Details for the file numpy-1.5.1.win32-py2.7-nosse.exe.

File metadata

File hashes

Hashes for numpy-1.5.1.win32-py2.7-nosse.exe
Algorithm Hash digest
SHA256 37d8363be1e76b855ef27eb140caccd00e250244a6a3536dce9cd06a1e56ddbb
MD5 7d6e48b35570c3d83db4cd0a4346b6c1
BLAKE2b-256 eba9af5807aeefbc05d574e103212cfc71423ac255ad326de651ed01ddf7f995

See more details on using hashes here.

File details

Details for the file numpy-1.5.1.win32-py2.6-nosse.exe.

File metadata

File hashes

Hashes for numpy-1.5.1.win32-py2.6-nosse.exe
Algorithm Hash digest
SHA256 bea35acebd89855529f52e418f2b5d5976b50982651a7e1b97d4d6b68ba83130
MD5 267627e760277e5f6a74a83772a4f1d0
BLAKE2b-256 d2fe2d765a8f923db9a2254f398af2cafdd777b39611e90ac28d5fc3b8fd9cfa

See more details on using hashes here.

File details

Details for the file numpy-1.5.1.win32-py2.5-nosse.exe.

File metadata

File hashes

Hashes for numpy-1.5.1.win32-py2.5-nosse.exe
Algorithm Hash digest
SHA256 e45623a65625a22e8c59d5feacc02bdc360eed4ab9f01f3dc619dc58c56336ad
MD5 bfcb66706ebdece6a9680f79f2b643ca
BLAKE2b-256 8b8ee20ca84e30db2d93d85370ba23efbe54037bb45348dd6496185e7bbb15fa

See more details on using hashes here.

File details

Details for the file numpy-1.5.1-cp27-none-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for numpy-1.5.1-cp27-none-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 2d19469a94eadd002b1596cb0ec22e4f27f4f96dd6c83391220d0e187041bd36
MD5 78ccd7fc7bd4667969fa77634e1f2210
BLAKE2b-256 add60cee332656a0633ff062c13408734dc3c617d5d45d174c491033063668eb

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