numpy

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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.

Metadata

Release files for numpy 1.6.2

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.

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Source distributions (sdists)

Source distribution for numpy 1.6.2
File	Size	Uploaded
numpy-1.6.2.zip	2.9 MB	May 20, 2012	Details
numpy-1.6.2.tar.gz	2.6 MB	May 20, 2012	Details

Built distributions (wheels)

Table of built distributions (wheels) for numpy 1.6.2
File	Interpreter	ABI	Platform	Reset
numpy-1.6.2.win32-py3.2.exe 2.7 MB May 20, 2012				Details
numpy-1.6.2.win32-py3.1.exe 2.7 MB May 20, 2012				Details
numpy-1.6.2.win32-py2.7.exe 2.6 MB May 20, 2012				Details
numpy-1.6.2.win32-py2.6.exe 2.6 MB May 20, 2012				Details
numpy-1.6.2.win32-py2.5.exe 2.5 MB May 20, 2012				Details
numpy-1.6.2-cp27-none-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.whl 11.6 MB Oct 17, 2014	CPython 2.7	none	macOS 10.6+ Intel (x86-64, i386), macOS 10.9+ x86-64, macOS 10.9+ Intel (x86-64, i386)	Details
numpy-1.6.2-cp27-cp27mu-manylinux1_x86_64.whl 13.6 MB Apr 20, 2016	CPython 2.7	CPython 2.7 pymalloc wide-unicode	Linux glibc 2.5+ x86-64	Details
numpy-1.6.2-cp27-cp27m-manylinux1_x86_64.whl 13.6 MB Apr 20, 2016	CPython 2.7	CPython 2.7 pymalloc	Linux glibc 2.5+ x86-64	Details
numpy-1.6.2-cp26-cp26mu-manylinux1_x86_64.whl 13.6 MB Apr 20, 2016	CPython 2.6	CPython 2.6 pymalloc wide-unicode	Linux glibc 2.5+ x86-64	Details
numpy-1.6.2-cp26-cp26m-manylinux1_x86_64.whl 13.6 MB Apr 20, 2016	CPython 2.6	CPython 2.6 pymalloc	Linux glibc 2.5+ x86-64	Details

Total release size: 84.6 MB

Release files / numpy-1.6.2.zip

Download URL	numpy-1.6.2.zip
Size	2.9 MB
Tags	Source
SHA-256 checksum How to use checksums	`e2236a4d514b8b74cdb4aa73093e55de6585a5289a2b7ce5328b9bbd980b212b`
BLAKE2b-256 checksum How to use checksums	`43263c7c2b24674be1a48d5ef7e2be6559305189a13029255a6944d6889b8b73`
Upload date	May 20, 2012
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.6.2.tar.gz

Download URL	numpy-1.6.2.tar.gz
Size	2.6 MB
Tags	Source
SHA-256 checksum How to use checksums	`0b83d96ab79711b548470b7aeee1272c4ba8fcbba6586a67116b566a21ed16c6`
BLAKE2b-256 checksum How to use checksums	`205171f2d77f3af6e95a6ac920425d54233c898cb04a2a2a45faa488f0562d9d`
Upload date	May 20, 2012
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.6.2.win32-py3.2.exe

Download URL	numpy-1.6.2.win32-py3.2.exe
Size	2.7 MB
Tags	Source
SHA-256 checksum How to use checksums	`754cd03128a823a2279b701668f477171c3ef69ef6d31f391aa2f4d8084791c8`
BLAKE2b-256 checksum How to use checksums	`e248ecb03f8e1b38fbfa052dacf1d1aa6cbd4ba189301c7353facb4641cb7ca2`
Upload date	May 20, 2012
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.6.2.win32-py3.1.exe

Download URL	numpy-1.6.2.win32-py3.1.exe
Size	2.7 MB
Tags	Source
SHA-256 checksum How to use checksums	`039f0f076420fbcda81fbe011b162358d85484628ebec574fb99f2bbf3cad688`
BLAKE2b-256 checksum How to use checksums	`4011087b97fa8ee850ec7922d294cdd5ccb400a0f4f23bdf19eb22677813bd3e`
Upload date	May 20, 2012
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.6.2.win32-py2.7.exe

Download URL	numpy-1.6.2.win32-py2.7.exe
Size	2.6 MB
Tags	Source
SHA-256 checksum How to use checksums	`5e49756e536b2565a37c22dd8db13398c4ac61fc1f39abf1a0898a737ae56be9`
BLAKE2b-256 checksum How to use checksums	`9666233a83d908463463c1c23e703fa40cb9b28649438e893d7c3081d51a7dc4`
Upload date	May 20, 2012
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.6.2.win32-py2.6.exe

Download URL	numpy-1.6.2.win32-py2.6.exe
Size	2.6 MB
Tags	Source
SHA-256 checksum How to use checksums	`ba3fdba01264ac57c0228e165b9eec2904a6135a7ba73ba4b345b1238241007e`
BLAKE2b-256 checksum How to use checksums	`f23c6b5157c028f834c925871cc2a30ff54368ae5f5e2ad2c45bedf22a85b23a`
Upload date	May 20, 2012
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.6.2.win32-py2.5.exe

Download URL	numpy-1.6.2.win32-py2.5.exe
Size	2.5 MB
Tags	Source
SHA-256 checksum How to use checksums	`e5e517ff400f1d25c094abad5bd8c8a41dda3e98236ef4a065a02b24f3f51a5c`
BLAKE2b-256 checksum How to use checksums	`a2fb79ad4e77725c64e19aca63f431ceaf59a84251229fd66edf21099cb73bac`
Upload date	May 20, 2012
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.6.2-cp27-none-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.whl

File added late

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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-1.6.2-cp27-none-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.whl
Size	11.6 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	`88f47e2b4da48782e3afee756004f43eace007e00bf0fc84d6e9694cc51c36c5`
BLAKE2b-256 checksum How to use checksums	`62c426d4115edd63a0fb5c3c8809ccd90e608a13b6221d7d00f696e9fce433eb`
Upload date	Oct 17, 2014
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.6.2-cp27-cp27mu-manylinux1_x86_64.whl

File added late

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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-1.6.2-cp27-cp27mu-manylinux1_x86_64.whl
Size	13.6 MB
Tags	CPython 2.7 CPython 2.7 pymalloc wide-unicode Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`b4ff1435154f8542ada31db3ad5a7891dc7f5e661c0bd434314523a5dbcaa41d`
BLAKE2b-256 checksum How to use checksums	`5da9bf3e87bb9353875f387326b3e73ea11ee14c4270d71fe9e87d01858e85ca`
Upload date	Apr 20, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.6.2-cp27-cp27m-manylinux1_x86_64.whl

File added late

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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-1.6.2-cp27-cp27m-manylinux1_x86_64.whl
Size	13.6 MB
Tags	CPython 2.7 CPython 2.7 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`3fc768caacf13a918c92e4b545cbffb8fe746724ec620a11deae4d7da0ac4353`
BLAKE2b-256 checksum How to use checksums	`27e5c7fa8b4908348e004ac1098ecd13d57fc42c692949b94c89da094bbe96ea`
Upload date	Apr 20, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.6.2-cp26-cp26mu-manylinux1_x86_64.whl

File added late

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Download URL	numpy-1.6.2-cp26-cp26mu-manylinux1_x86_64.whl
Size	13.6 MB
Tags	CPython 2.6 CPython 2.6 pymalloc wide-unicode Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`5bf9df60119dc556357592b6156768e0c7e98989fb9f1b6d6ea1b99305b6328f`
BLAKE2b-256 checksum How to use checksums	`0ca9d5619a0d5c98f915696850c1b5f8566ce82d0ea83bf9834d419c1ceed6d8`
Upload date	Apr 20, 2016
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Release files / numpy-1.6.2-cp26-cp26m-manylinux1_x86_64.whl

File added late

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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-1.6.2-cp26-cp26m-manylinux1_x86_64.whl
Size	13.6 MB
Tags	CPython 2.6 CPython 2.6 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`fac7a12d248673edb407f5cceac01c0df2f5e275ceebb301bbac7e2fa6f8e5c6`
BLAKE2b-256 checksum How to use checksums	`e1ef7aa7addd74e79bc3de1b47016c1a9080ffea4880474bd055b5643c67aa18`
Upload date	Apr 20, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

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numpy 1.6.2

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Release files for numpy 1.6.2

Files added late

Source distributions (sdists)

Built distributions (wheels)

Release files / numpy-1.6.2.zip

Release files / numpy-1.6.2.tar.gz

Release files / numpy-1.6.2.win32-py3.2.exe

Release files / numpy-1.6.2.win32-py3.1.exe

Release files / numpy-1.6.2.win32-py2.7.exe

Release files / numpy-1.6.2.win32-py2.6.exe

Release files / numpy-1.6.2.win32-py2.5.exe

Release files / numpy-1.6.2-cp27-none-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.whl

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Release files / numpy-1.6.2-cp27-cp27mu-manylinux1_x86_64.whl

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Release files / numpy-1.6.2-cp27-cp27m-manylinux1_x86_64.whl

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Release files / numpy-1.6.2-cp26-cp26mu-manylinux1_x86_64.whl

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