numpy

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7 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.

Release files for numpy 1.9.3

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

Files added late

7 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 distributions (sdists)

Source distribution for numpy 1.9.3
File	Size	Uploaded
numpy-1.9.3.zip	4.5 MB	Sep 21, 2015	Details
numpy-1.9.3.tar.gz	4.0 MB	Sep 21, 2015	Details

Built distributions (wheels)

Table of built distributions (wheels) for numpy 1.9.3
File	Interpreter	ABI	Platform	Reset
numpy-1.9.3-cp35-cp35m-manylinux1_x86_64.whl 15.0 MB Apr 20, 2016	CPython 3.5	CPython 3.5 pymalloc	Linux glibc 2.5+ x86-64	Details
numpy-1.9.3-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl 3.6 MB Sep 21, 2015	CPython 3.5	CPython 3.5 pymalloc	macOS 10.9+ Intel (x86-64, i386), macOS 10.6+ Intel (x86-64, i386), macOS 10.10+ x86-64, macOS 10.9+ x86-64, macOS 10.10+ Intel (x86-64, i386)	Details
numpy-1.9.3-cp34-cp34m-manylinux1_x86_64.whl 15.0 MB Apr 20, 2016	CPython 3.4	CPython 3.4 pymalloc	Linux glibc 2.5+ x86-64	Details
numpy-1.9.3-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl 3.6 MB Sep 21, 2015	CPython 3.4	CPython 3.4 pymalloc	macOS 10.6+ Intel (x86-64, i386), macOS 10.9+ Intel (x86-64, i386), macOS 10.9+ x86-64, macOS 10.10+ x86-64, macOS 10.10+ Intel (x86-64, i386)	Details
numpy-1.9.3-cp33-cp33m-manylinux1_x86_64.whl 14.8 MB Apr 20, 2016	CPython 3.3	CPython 3.3 pymalloc	Linux glibc 2.5+ x86-64	Details
numpy-1.9.3-cp33-cp33m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl 3.6 MB Sep 21, 2015	CPython 3.3	CPython 3.3 pymalloc	macOS 10.10+ x86-64, macOS 10.9+ x86-64, macOS 10.10+ Intel (x86-64, i386), macOS 10.9+ Intel (x86-64, i386), macOS 10.6+ Intel (x86-64, i386)	Details
numpy-1.9.3-cp27-none-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl 3.6 MB Sep 21, 2015	CPython 2.7	none	macOS 10.6+ Intel (x86-64, i386), macOS 10.9+ x86-64, macOS 10.10+ Intel (x86-64, i386), macOS 10.10+ x86-64, macOS 10.9+ Intel (x86-64, i386)	Details
numpy-1.9.3-cp27-cp27mu-manylinux1_x86_64.whl 14.7 MB Apr 20, 2016	CPython 2.7	CPython 2.7 pymalloc wide-unicode	Linux glibc 2.5+ x86-64	Details
numpy-1.9.3-cp27-cp27m-manylinux1_x86_64.whl 14.7 MB Apr 20, 2016	CPython 2.7	CPython 2.7 pymalloc	Linux glibc 2.5+ x86-64	Details
numpy-1.9.3-cp26-cp26mu-manylinux1_x86_64.whl 14.7 MB Apr 20, 2016	CPython 2.6	CPython 2.6 pymalloc wide-unicode	Linux glibc 2.5+ x86-64	Details
numpy-1.9.3-cp26-cp26m-manylinux1_x86_64.whl 14.7 MB Apr 20, 2016	CPython 2.6	CPython 2.6 pymalloc	Linux glibc 2.5+ x86-64	Details

Total release size: 126.6 MB

Release files / numpy-1.9.3.zip

Download URL	numpy-1.9.3.zip
Size	4.5 MB
Tags	Source
SHA-256 checksum How to use checksums	`baa074bb1c7f9c822122fb81459b7caa5fc49267ca94cca69465c8dcfd63ac79`
BLAKE2b-256 checksum How to use checksums	`d9da8f6fa7d5d76fc78c11fb56a48dfb51d6321bc1e7631e5ad32c228284005f`
Upload date	Sep 21, 2015
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.9.3.tar.gz

Download URL	numpy-1.9.3.tar.gz
Size	4.0 MB
Tags	Source
SHA-256 checksum How to use checksums	`c3b74d3b9da4ceb11f66abd21e117da8cf584b63a0efbd01a9b7e91b693fbbd6`
BLAKE2b-256 checksum How to use checksums	`e93e24ec13b144c39874fba69f165b26b7d42a172149bf7ffaf5cf8ffd3815cb`
Upload date	Sep 21, 2015
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Release files / numpy-1.9.3-cp35-cp35m-manylinux1_x86_64.whl

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Download URL	numpy-1.9.3-cp35-cp35m-manylinux1_x86_64.whl
Size	15.0 MB
Tags	CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`df659e5e7179f6876bc881519c88567aa2724731d6c2b6521b43e57828b4da88`
BLAKE2b-256 checksum How to use checksums	`4cbb6a16ab39e625947f653774bfa462d3678d2c84c3075a8c9db71bfaebab05`
Upload date	Apr 20, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.9.3-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl

Download URL	numpy-1.9.3-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Size	3.6 MB
Tags	CPython 3.5 CPython 3.5 pymalloc macOS 10.10+ Intel (x86-64, i386) macOS 10.10+ x86-64 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	`09a43bc1daa333bc402d93d44de614077689e1e9b8c1dda951f20e1f1f8ac29e`
BLAKE2b-256 checksum How to use checksums	`945e867f54373e96bb67941aa7f194394ec774d7ab3aecb77908b94b949ab613`
Upload date	Sep 21, 2015
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Release files / numpy-1.9.3-cp34-cp34m-manylinux1_x86_64.whl

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Download URL	numpy-1.9.3-cp34-cp34m-manylinux1_x86_64.whl
Size	15.0 MB
Tags	CPython 3.4 CPython 3.4 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`bff36563f9d6a06a81ae232f49d2946c84c05e391a7dff057496033c79507860`
BLAKE2b-256 checksum How to use checksums	`fc1ba1717502572587c724858862fd9b98a66105f3a3443225bda9a1bd16ee14`
Upload date	Apr 20, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.9.3-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl

Download URL	numpy-1.9.3-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Size	3.6 MB
Tags	CPython 3.4 CPython 3.4 pymalloc macOS 10.10+ Intel (x86-64, i386) macOS 10.10+ x86-64 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	`ad2b8bb1fe6df8aa55ef3891a65cce2e1f4740abeb324f5ddbfc905468f4e7df`
BLAKE2b-256 checksum How to use checksums	`9bc312ddc43ba2e8c72c03dbab3bcf757c60571fb48ea991bfa522314d3b5aab`
Upload date	Sep 21, 2015
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Release files / numpy-1.9.3-cp33-cp33m-manylinux1_x86_64.whl

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Download URL	numpy-1.9.3-cp33-cp33m-manylinux1_x86_64.whl
Size	14.8 MB
Tags	CPython 3.3 CPython 3.3 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`bf63d472a25bf5db9a95af6060904aafa64808ddf83ee91e479b21cd84442c5c`
BLAKE2b-256 checksum How to use checksums	`b79a239daf3f18b15993b29fb2779b04eb8564cc2d64ca4b9c4571b0f8f25c4b`
Upload date	Apr 20, 2016
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Release files / numpy-1.9.3-cp33-cp33m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl

Download URL	numpy-1.9.3-cp33-cp33m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Size	3.6 MB
Tags	CPython 3.3 CPython 3.3 pymalloc macOS 10.10+ Intel (x86-64, i386) macOS 10.10+ x86-64 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	`a312ba529af01500d7a06f2a7d2c1fb19b82547838cdef10d83411fdf838bddb`
BLAKE2b-256 checksum How to use checksums	`f28eab4405734e2e063dd9f9211e8fc06c41a8bd1522b09d4cce36d9debdcf3a`
Upload date	Sep 21, 2015
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.9.3-cp27-none-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl

Download URL	numpy-1.9.3-cp27-none-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Size	3.6 MB
Tags	CPython 2.7 macOS 10.10+ Intel (x86-64, i386) macOS 10.10+ x86-64 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	`4d6992172ff788308dba89dd950713c1989df5e7895f4a5a64af23db58186945`
BLAKE2b-256 checksum How to use checksums	`700744a187b58518614be20ccb63a72db99c2568e9ca0e1c9b0236960b68cb9c`
Upload date	Sep 21, 2015
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.9.3-cp27-cp27mu-manylinux1_x86_64.whl

File added late

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Download URL	numpy-1.9.3-cp27-cp27mu-manylinux1_x86_64.whl
Size	14.7 MB
Tags	CPython 2.7 CPython 2.7 pymalloc wide-unicode Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`ac559fc2b7d77fccdef375ea920bb92b38ec759e6c89a638eee8d479a31df98c`
BLAKE2b-256 checksum How to use checksums	`16554a788daaf048ad86af3676b51256ec38674281cbade9faabbe4585d11b1d`
Upload date	Apr 20, 2016
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Release files / numpy-1.9.3-cp27-cp27m-manylinux1_x86_64.whl

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Download URL	numpy-1.9.3-cp27-cp27m-manylinux1_x86_64.whl
Size	14.7 MB
Tags	CPython 2.7 CPython 2.7 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`da1563ede37a54c2bd5ab3cb3def94c386f4c7482242cdb7921c22756bbeb461`
BLAKE2b-256 checksum How to use checksums	`f863eca0990ba29244de118489d82ab7511d72cc02bf8ae81ca1aa2a4774d087`
Upload date	Apr 20, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.9.3-cp26-cp26mu-manylinux1_x86_64.whl

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Download URL	numpy-1.9.3-cp26-cp26mu-manylinux1_x86_64.whl
Size	14.7 MB
Tags	CPython 2.6 CPython 2.6 pymalloc wide-unicode Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`2c167bccb1ecc100ab803aaade54ae8586f00d2512b9ba9474b07c1f7370d68c`
BLAKE2b-256 checksum How to use checksums	`dc0a41db7ee78191805dd8abcce96d4dd80076a71827197c86567efb35aba61e`
Upload date	Apr 20, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.9.3-cp26-cp26m-manylinux1_x86_64.whl

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Download URL	numpy-1.9.3-cp26-cp26m-manylinux1_x86_64.whl
Size	14.7 MB
Tags	CPython 2.6 CPython 2.6 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`19828d06c965c7296da055c864cc549352ffa3bd8cb39058f0f410df17aa27cf`
BLAKE2b-256 checksum How to use checksums	`df39823b0cfa107a7728487fb89a5eb070233affc61b31958ebf883216205f50`
Upload date	Apr 20, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release history Release notifications | RSS feed

2.5.3

Sep 6, 2026 66 release files

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1.26.4

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1.23.3

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1.22.2

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1.22.1

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1.21.6

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1.21.5

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1.21.3

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1.21.1

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1.20.3

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1.19.5

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1.19.4

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1.19.3

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1.19.1

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1.19.0

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1.18.5

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1.18.4

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1.18.3

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1.18.2

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1.17.5

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1.16.6

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Feb 26, 2019 23 release files

1.16.1

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1.15.4

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1.13.1

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1.12.1

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Jan 15, 2017 23 release files

1.11.3

Dec 19, 2016 21 release files

1.11.2

Oct 4, 2016 19 release files

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Mar 27, 2016 16 release files

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Oct 6, 2015 9 release files

This release

1.9.3 This release

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1.9.2

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Mar 25, 2014 11 release files

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Oct 30, 2013 8 release files

1.7.2

Dec 31, 2013 8 release files

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Apr 7, 2013 18 release files

1.7.0

Feb 12, 2013 14 release files

1.6.2

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Dec 28, 2009

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Apr 5, 2009 2 release files

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Oct 19, 2006

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Oct 10, 2006

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Sep 20, 2006

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Sep 5, 2006

Pre-release

1.0b4

Aug 26, 2006

Pre-release

1.0b1

Jul 21, 2006

0.9.8

May 18, 2006

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Mar 14, 2006

numpy 1.9.3

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Release files for numpy 1.9.3

Files added late

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Release files / numpy-1.9.3.zip

Release files / numpy-1.9.3.tar.gz

Release files / numpy-1.9.3-cp35-cp35m-manylinux1_x86_64.whl

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Release files / numpy-1.9.3-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl

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Release files / numpy-1.9.3-cp27-none-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl

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