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 1.9.1

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 1.9.1
File	Size	Uploaded
numpy-1.9.1.zip	4.5 MB	Nov 2, 2014	Details
numpy-1.9.1.tar.gz	4.0 MB	Nov 2, 2014	Details

Built distributions (wheels)

Table of built distributions (wheels) for numpy 1.9.1
File	Interpreter	ABI	Platform	Reset
numpy-1.9.1-cp35-cp35m-manylinux1_x86_64.whl 14.9 MB Apr 20, 2016	CPython 3.5	CPython 3.5 pymalloc	Linux glibc 2.5+ x86-64	Details
numpy-1.9.1-cp34-cp34m-manylinux1_x86_64.whl 14.9 MB Apr 20, 2016	CPython 3.4	CPython 3.4 pymalloc	Linux glibc 2.5+ x86-64	Details
numpy-1.9.1-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 Nov 2, 2014	CPython 3.4	CPython 3.4 pymalloc	macOS 10.10+ Intel (x86-64, i386), macOS 10.9+ Intel (x86-64, i386), macOS 10.9+ x86-64, macOS 10.10+ x86-64, macOS 10.6+ Intel (x86-64, i386)	Details
numpy-1.9.1-cp33-cp33m-manylinux1_x86_64.whl 14.7 MB Apr 20, 2016	CPython 3.3	CPython 3.3 pymalloc	Linux glibc 2.5+ x86-64	Details
numpy-1.9.1-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 Nov 2, 2014	CPython 3.3	CPython 3.3 pymalloc	macOS 10.9+ x86-64, macOS 10.10+ Intel (x86-64, i386), macOS 10.10+ x86-64, macOS 10.9+ Intel (x86-64, i386), macOS 10.6+ Intel (x86-64, i386)	Details
numpy-1.9.1-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 Nov 2, 2014	CPython 2.7	none	macOS 10.9+ x86-64, macOS 10.10+ Intel (x86-64, i386), macOS 10.10+ x86-64, macOS 10.9+ Intel (x86-64, i386), macOS 10.6+ Intel (x86-64, i386)	Details
numpy-1.9.1-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-1.9.1-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-1.9.1-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-1.9.1-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: 122.6 MB

Release files / numpy-1.9.1.zip

Download URL	numpy-1.9.1.zip
Size	4.5 MB
Tags	Source
SHA-256 checksum How to use checksums	`2a545c0d096d86035b12160fcba5e4c0a08dcabbf902b4f867eb64deb31a2b7a`
BLAKE2b-256 checksum How to use checksums	`fc5487b79129ed1c2f5a6a5ee1b9d1b0492f422305ef75da16843175b91488fb`
Upload date	Nov 2, 2014
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.9.1.tar.gz

Download URL	numpy-1.9.1.tar.gz
Size	4.0 MB
Tags	Source
SHA-256 checksum How to use checksums	`0075bbe07e30b659ae4415446f45812dc1b96121a493a4a1f8b1ba77b75b1e1c`
BLAKE2b-256 checksum How to use checksums	`413945791d98f1c82789b96d7bdc36f34792d0106b44680fb946d5de9cd5c979`
Upload date	Nov 2, 2014
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.9.1-cp35-cp35m-manylinux1_x86_64.whl

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Download URL	numpy-1.9.1-cp35-cp35m-manylinux1_x86_64.whl
Size	14.9 MB
Tags	CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`5ec2d02a2e03e51ee71c0a1d653b725c1f0f4dbc0d2566592d09c75dbd763ae8`
BLAKE2b-256 checksum How to use checksums	`958b2fb2db1e33fd7e254dbff2a3a7a9b69fca3b44ffd90f79a3d18843f0922f`
Upload date	Apr 20, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.9.1-cp34-cp34m-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-1.9.1-cp34-cp34m-manylinux1_x86_64.whl
Size	14.9 MB
Tags	CPython 3.4 CPython 3.4 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`e30fcbe20a9264c849175b581d6300a27666a8ddd48b205245937ca010a63423`
BLAKE2b-256 checksum How to use checksums	`0f6c66a22a11fada8679e2825b45e0f892a56d8c6f0c4e97a329456079f23f45`
Upload date	Apr 20, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.9.1-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-1.9.1-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	`388958ee6b759d7b1739efef7ac6578e425e28cd783f0da52808debe27547d8b`
BLAKE2b-256 checksum How to use checksums	`a05d6e639acac6f6e0a36872d126b512b5e37c855cc1527c2e27bd960508dadc`
Upload date	Nov 2, 2014
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.9.1-cp33-cp33m-manylinux1_x86_64.whl

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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-1.9.1-cp33-cp33m-manylinux1_x86_64.whl
Size	14.7 MB
Tags	CPython 3.3 CPython 3.3 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`2b1a26b6ea6dbaf755241f7aaf939f246e8ca02fae74b720d3074cc992c6299e`
BLAKE2b-256 checksum How to use checksums	`73de96a2bb81266dde6c2810cd30c54a312a8288d41199aa23475e0350f3d0bb`
Upload date	Apr 20, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.9.1-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-1.9.1-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	`0b07baf08231e1bae5dd4f07cde3996dcabb18f6c5b326936a2e184d142e7afc`
BLAKE2b-256 checksum How to use checksums	`4544ec7440a56bf54c52542b3efbf9c975b96a2072c843caea1b762c8269e30e`
Upload date	Nov 2, 2014
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.9.1-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-1.9.1-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	`6a20356a4829ff67dbd73c91c763b9cf20aed240f6dd1633cdc9de1bdd86ea6b`
BLAKE2b-256 checksum How to use checksums	`360aec198d5d9d707c23626591e368289ff24d27a6f43348f777b21f29bb8697`
Upload date	Nov 2, 2014
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.9.1-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-1.9.1-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	`74cb491e6a11e8438a70ff7c12d3d2c629c8fb212a08ab47373644c69f867fd7`
BLAKE2b-256 checksum How to use checksums	`c8f16f0775bc5b683d21fe4760ecbb20b808b7e47e52128959f0dcf8ab5820aa`
Upload date	Apr 20, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.9.1-cp27-cp27m-manylinux1_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.

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Download URL	numpy-1.9.1-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	`bbc279327b218ec3a40cb6ebd3efb51cbdc14fe6b22614452eb2fad369224089`
BLAKE2b-256 checksum How to use checksums	`c15863d7c7784486e56930b22c38095954a387c751edeb6593e743644bb083ad`
Upload date	Apr 20, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.9.1-cp26-cp26mu-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-1.9.1-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	`33c08803ce53d44472050f3b5335f46281111dfcaa755b6b9a9c5a494443b2dd`
BLAKE2b-256 checksum How to use checksums	`83bc4368f009c063a4036fb9784c3eca325ee5b35216d3900c238ee524ba2765`
Upload date	Apr 20, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.9.1-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-1.9.1-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	`e7e785b7b4e19d7325a3f96036a4a25c9460c65f9a0b0341837e855e939b9d2c`
BLAKE2b-256 checksum How to use checksums	`8d12ff583246b0dffeb0ee75dfc71d0cb0188311ce250f1703838aa80dd73f1c`
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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1.19.5

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1.19.4

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1.19.1

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1.18.5

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Feb 26, 2019 23 release files

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Jan 31, 2019 23 release files

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Jan 14, 2019 23 release files

1.15.4

Nov 4, 2018 28 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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Aug 26, 2006

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Jul 21, 2006

0.9.8

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numpy 1.9.1

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Release files for numpy 1.9.1

Files added late

Source distributions (sdists)

Built distributions (wheels)

Release files / numpy-1.9.1.zip

Release files / numpy-1.9.1.tar.gz

Release files / numpy-1.9.1-cp35-cp35m-manylinux1_x86_64.whl

File added late

Release files / numpy-1.9.1-cp34-cp34m-manylinux1_x86_64.whl

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Release files / numpy-1.9.1-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

Release files / numpy-1.9.1-cp33-cp33m-manylinux1_x86_64.whl

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Release files / numpy-1.9.1-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

Release files / numpy-1.9.1-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

Release files / numpy-1.9.1-cp27-cp27mu-manylinux1_x86_64.whl

File added late

Release files / numpy-1.9.1-cp27-cp27m-manylinux1_x86_64.whl

File added late

Release files / numpy-1.9.1-cp26-cp26mu-manylinux1_x86_64.whl

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Release files / numpy-1.9.1-cp26-cp26m-manylinux1_x86_64.whl

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