numpy

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5 files were added to this release more than 14 days after its initial publication. Inspect the release files before installing.

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.

Development Status
- 5 - Production/Stable
Intended Audience
- Developers
- Science/Research
License
- OSI Approved
Operating System
- MacOS
- Microsoft :: Windows
- POSIX
- Unix
Programming Language
- C
- Python
Topic
- Scientific/Engineering
- Software Development

Release files for numpy 1.5.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Files added late

5 files were uploaded more than 14 days after the first file in this release.

While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.

We recommend inspecting the release files before installing.

Source distribution (sdist)

Source distribution for numpy 1.5.1
File	Size	Uploaded
numpy-1.5.1.tar.gz	2.3 MB	Nov 18, 2010	Details

Built distributions (wheels)

Table of built distributions (wheels) for numpy 1.5.1
File	Interpreter	ABI	Platform	Reset
numpy-1.5.1.win32-py3.1-nosse.exe 2.5 MB Jan 28, 2011				Details
numpy-1.5.1.win32-py2.7-nosse.exe 2.3 MB Jan 28, 2011				Details
numpy-1.5.1.win32-py2.6-nosse.exe 2.3 MB Jan 28, 2011				Details
numpy-1.5.1.win32-py2.5-nosse.exe 2.9 MB Jan 28, 2011				Details
numpy-1.5.1-cp27-none-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.whl 10.7 MB Jul 30, 2014	CPython 2.7	none	macOS 10.6+ Intel (x86-64, i386), macOS 10.9+ Intel (x86-64, i386), macOS 10.9+ x86-64	Details

Total release size: 23.1 MB

Release files / numpy-1.5.1.tar.gz

Download URL	numpy-1.5.1.tar.gz
Size	2.3 MB
Tags	Source
SHA-256 checksum How to use checksums	`c36789ec381fec09f519249744ea36a77e5534b69446a59ee73b06cac29542eb`
BLAKE2b-256 checksum How to use checksums	`73e188932bb0420a0fbe1547ee96d4e7332de5c1ed5a846a6c96ea422c6bf753`
Upload date	Nov 18, 2010
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.5.1.win32-py3.1-nosse.exe

File added late

This file was uploaded more than 14 days after the first file in this release.

While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.

We recommend inspecting the release file before installing.

Download URL	numpy-1.5.1.win32-py3.1-nosse.exe
Size	2.5 MB
Tags	Source
SHA-256 checksum How to use checksums	`8821b7d0c926858e81d11b13336edd6e0d4569d0179c9568ae08011658912823`
BLAKE2b-256 checksum How to use checksums	`3fc92aa4f6426c7b8e4a227834ecb10da666c35791510bc1ae11bf6e87398c18`
Upload date	Jan 28, 2011
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.5.1.win32-py2.7-nosse.exe

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While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.

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Download URL	numpy-1.5.1.win32-py2.7-nosse.exe
Size	2.3 MB
Tags	Source
SHA-256 checksum How to use checksums	`37d8363be1e76b855ef27eb140caccd00e250244a6a3536dce9cd06a1e56ddbb`
BLAKE2b-256 checksum How to use checksums	`eba9af5807aeefbc05d574e103212cfc71423ac255ad326de651ed01ddf7f995`
Upload date	Jan 28, 2011
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.5.1.win32-py2.6-nosse.exe

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This file was uploaded more than 14 days after the first file in this release.

While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.

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Download URL	numpy-1.5.1.win32-py2.6-nosse.exe
Size	2.3 MB
Tags	Source
SHA-256 checksum How to use checksums	`bea35acebd89855529f52e418f2b5d5976b50982651a7e1b97d4d6b68ba83130`
BLAKE2b-256 checksum How to use checksums	`d2fe2d765a8f923db9a2254f398af2cafdd777b39611e90ac28d5fc3b8fd9cfa`
Upload date	Jan 28, 2011
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.5.1.win32-py2.5-nosse.exe

File added late

This file was uploaded more than 14 days after the first file in this release.

While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.

We recommend inspecting the release file before installing.

Download URL	numpy-1.5.1.win32-py2.5-nosse.exe
Size	2.9 MB
Tags	Source
SHA-256 checksum How to use checksums	`e45623a65625a22e8c59d5feacc02bdc360eed4ab9f01f3dc619dc58c56336ad`
BLAKE2b-256 checksum How to use checksums	`8b8ee20ca84e30db2d93d85370ba23efbe54037bb45348dd6496185e7bbb15fa`
Upload date	Jan 28, 2011
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.5.1-cp27-none-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.whl

File added late

This file was uploaded more than 14 days after the first file in this release.

While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.

We recommend inspecting the release file before installing.

Download URL	numpy-1.5.1-cp27-none-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.whl
Size	10.7 MB
Tags	CPython 2.7 macOS 10.6+ Intel (x86-64, i386) macOS 10.9+ Intel (x86-64, i386) macOS 10.9+ x86-64
SHA-256 checksum How to use checksums	`2d19469a94eadd002b1596cb0ec22e4f27f4f96dd6c83391220d0e187041bd36`
BLAKE2b-256 checksum How to use checksums	`add60cee332656a0633ff062c13408734dc3c617d5d45d174c491033063668eb`
Upload date	Jul 30, 2014
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release history Release notifications | RSS feed

2.5.3

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This release

1.5.1 This release

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0.9.8

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numpy 1.5.1

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Release files for numpy 1.5.1

Files added late

Source distribution (sdist)

Built distributions (wheels)

Release files / numpy-1.5.1.tar.gz

Release files / numpy-1.5.1.win32-py3.1-nosse.exe

File added late

Release files / numpy-1.5.1.win32-py2.7-nosse.exe

File added late

Release files / numpy-1.5.1.win32-py2.6-nosse.exe

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Release files / numpy-1.5.1.win32-py2.5-nosse.exe

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Release files / numpy-1.5.1-cp27-none-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.whl

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