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.

All numpy wheels distributed from pypi are BSD licensed.

Windows wheels are linked against the ATLAS BLAS / LAPACK library, restricted to SSE2 instructions, so may not give optimal linear algebra performance for your machine. See http://docs.scipy.org/doc/numpy/user/install.html for alternatives.

Release files for numpy 1.14.5

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 1.14.5
File	Size	Uploaded
numpy-1.14.5.zip	4.9 MB	Jun 12, 2018	Details

Built distributions (wheels)

Table of built distributions (wheels) for numpy 1.14.5
File	Interpreter	ABI	Platform	Reset
numpy-1.14.5-cp37-none-win_amd64.whl 13.4 MB Jun 29, 2018	CPython 3.7	none	Windows x86-64	Details
numpy-1.14.5-cp37-none-win32.whl 9.8 MB Jun 29, 2018	CPython 3.7	none	Windows x86-32	Details
numpy-1.14.5-cp37-cp37m-manylinux1_x86_64.whl 12.2 MB Jun 29, 2018	CPython 3.7	CPython 3.7 pymalloc	Linux glibc 2.5+ x86-64	Details
numpy-1.14.5-cp37-cp37m-manylinux1_i686.whl 8.7 MB Jun 29, 2018	CPython 3.7	CPython 3.7 pymalloc	Linux glibc 2.5+ x86-32	Details
numpy-1.14.5-cp37-cp37m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl 4.7 MB Jun 29, 2018	CPython 3.7	CPython 3.7 pymalloc	macOS 10.10+ x86-64, macOS 10.9+ x86-64, macOS 10.6+ Intel (x86-64, i386), macOS 10.10+ Intel (x86-64, i386), macOS 10.9+ Intel (x86-64, i386)	Details
numpy-1.14.5-cp36-none-win_amd64.whl 13.4 MB Jun 12, 2018	CPython 3.6	none	Windows x86-64	Details
numpy-1.14.5-cp36-none-win32.whl 9.8 MB Jun 12, 2018	CPython 3.6	none	Windows x86-32	Details
numpy-1.14.5-cp36-cp36m-manylinux1_x86_64.whl 12.2 MB Jun 12, 2018	CPython 3.6	CPython 3.6 pymalloc	Linux glibc 2.5+ x86-64	Details
numpy-1.14.5-cp36-cp36m-manylinux1_i686.whl 8.7 MB Jun 12, 2018	CPython 3.6	CPython 3.6 pymalloc	Linux glibc 2.5+ x86-32	Details
numpy-1.14.5-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl 4.7 MB Jun 12, 2018	CPython 3.6	CPython 3.6 pymalloc	macOS 10.9+ Intel (x86-64, i386), macOS 10.10+ x86-64, macOS 10.9+ x86-64, macOS 10.6+ Intel (x86-64, i386), macOS 10.10+ Intel (x86-64, i386)	Details
numpy-1.14.5-cp35-none-win_amd64.whl 13.4 MB Jun 12, 2018	CPython 3.5	none	Windows x86-64	Details
numpy-1.14.5-cp35-none-win32.whl 9.8 MB Jun 12, 2018	CPython 3.5	none	Windows x86-32	Details
numpy-1.14.5-cp35-cp35m-manylinux1_x86_64.whl 12.1 MB Jun 12, 2018	CPython 3.5	CPython 3.5 pymalloc	Linux glibc 2.5+ x86-64	Details
numpy-1.14.5-cp35-cp35m-manylinux1_i686.whl 8.7 MB Jun 12, 2018	CPython 3.5	CPython 3.5 pymalloc	Linux glibc 2.5+ x86-32	Details
numpy-1.14.5-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 4.7 MB Jun 12, 2018	CPython 3.5	CPython 3.5 pymalloc	macOS 10.10+ Intel (x86-64, i386), macOS 10.9+ Intel (x86-64, i386), macOS 10.10+ x86-64, macOS 10.9+ x86-64, macOS 10.6+ Intel (x86-64, i386)	Details
numpy-1.14.5-cp34-none-win_amd64.whl 13.3 MB Jun 12, 2018	CPython 3.4	none	Windows x86-64	Details
numpy-1.14.5-cp34-none-win32.whl 9.8 MB Jun 12, 2018	CPython 3.4	none	Windows x86-32	Details
numpy-1.14.5-cp34-cp34m-manylinux1_x86_64.whl 12.1 MB Jun 12, 2018	CPython 3.4	CPython 3.4 pymalloc	Linux glibc 2.5+ x86-64	Details
numpy-1.14.5-cp34-cp34m-manylinux1_i686.whl 8.7 MB Jun 12, 2018	CPython 3.4	CPython 3.4 pymalloc	Linux glibc 2.5+ x86-32	Details
numpy-1.14.5-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 4.7 MB Jun 12, 2018	CPython 3.4	CPython 3.4 pymalloc	macOS 10.10+ Intel (x86-64, i386), macOS 10.9+ Intel (x86-64, i386), macOS 10.10+ x86-64, macOS 10.9+ x86-64, macOS 10.6+ Intel (x86-64, i386)	Details
numpy-1.14.5-cp27-none-win_amd64.whl 13.3 MB Jun 12, 2018	CPython 2.7	none	Windows x86-64	Details
numpy-1.14.5-cp27-none-win32.whl 9.8 MB Jun 12, 2018	CPython 2.7	none	Windows x86-32	Details
numpy-1.14.5-cp27-cp27mu-manylinux1_x86_64.whl 12.1 MB Jun 12, 2018	CPython 2.7	CPython 2.7 pymalloc wide-unicode	Linux glibc 2.5+ x86-64	Details
numpy-1.14.5-cp27-cp27mu-manylinux1_i686.whl 8.7 MB Jun 12, 2018	CPython 2.7	CPython 2.7 pymalloc wide-unicode	Linux glibc 2.5+ x86-32	Details
numpy-1.14.5-cp27-cp27m-manylinux1_x86_64.whl 12.1 MB Jun 12, 2018	CPython 2.7	CPython 2.7 pymalloc	Linux glibc 2.5+ x86-64	Details
numpy-1.14.5-cp27-cp27m-manylinux1_i686.whl 8.7 MB Jun 12, 2018	CPython 2.7	CPython 2.7 pymalloc	Linux glibc 2.5+ x86-32	Details
numpy-1.14.5-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl 4.7 MB Jun 12, 2018	CPython 2.7	CPython 2.7 pymalloc	macOS 10.6+ Intel (x86-64, i386), macOS 10.10+ Intel (x86-64, i386), macOS 10.9+ Intel (x86-64, i386), macOS 10.10+ x86-64, macOS 10.9+ x86-64	Details

Total release size: 269.5 MB

Release files / numpy-1.14.5.zip

Download URL	numpy-1.14.5.zip
Size	4.9 MB
Tags	Source
SHA-256 checksum How to use checksums	`a4a433b3a264dbc9aa9c7c241e87c0358a503ea6394f8737df1683c7c9a102ac`
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Release files / numpy-1.14.5-cp37-none-win_amd64.whl

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Download URL	numpy-1.14.5-cp37-none-win_amd64.whl
Size	13.4 MB
Tags	CPython 3.7 Windows x86-64
SHA-256 checksum How to use checksums	`9b705f18b26fb551366ab6347ba9941b62272bf71c6bbcadcd8af94d10535241`
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Release files / numpy-1.14.5-cp37-none-win32.whl

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Download URL	numpy-1.14.5-cp37-none-win32.whl
Size	9.8 MB
Tags	CPython 3.7 Windows x86-32
SHA-256 checksum How to use checksums	`4130e5ae16c656b7de654dc5e595cfeb85d3a4b0bb0734d19c0dce6dc7ee0e07`
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Release files / numpy-1.14.5-cp37-cp37m-manylinux1_x86_64.whl

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Download URL	numpy-1.14.5-cp37-cp37m-manylinux1_x86_64.whl
Size	12.2 MB
Tags	CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`5ae3564cb630e155a650f4f9c054589848e97836bebae5637240a0d8099f817b`
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Release files / numpy-1.14.5-cp37-cp37m-manylinux1_i686.whl

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Download URL	numpy-1.14.5-cp37-cp37m-manylinux1_i686.whl
Size	8.7 MB
Tags	CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.5+ x86-32
SHA-256 checksum How to use checksums	`e1d18421a7e2ad4a655b76e65d549d4159f8874c18a417464c1d439ee7ccc7cd`
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Release files / numpy-1.14.5-cp37-cp37m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_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-1.14.5-cp37-cp37m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Size	4.7 MB
Tags	CPython 3.7 CPython 3.7 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	`91fdd510743ae4df862dbd51a4354519dd9fb8941347526cd9c2194b792b3da9`
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Release files / numpy-1.14.5-cp36-none-win_amd64.whl

Download URL	numpy-1.14.5-cp36-none-win_amd64.whl
Size	13.4 MB
Tags	CPython 3.6 Windows x86-64
SHA-256 checksum How to use checksums	`381ad13c30cd1d0b2f3da8a0c1a4aa697487e8bb0e9e0cbeb7439776bcb645f8`
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Release files / numpy-1.14.5-cp36-none-win32.whl

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Size	9.8 MB
Tags	CPython 3.6 Windows x86-32
SHA-256 checksum How to use checksums	`97fa8f1dceffab782069b291e38c4c2227f255cdac5f1e3346666931df87373e`
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Release files / numpy-1.14.5-cp36-cp36m-manylinux1_x86_64.whl

Download URL	numpy-1.14.5-cp36-cp36m-manylinux1_x86_64.whl
Size	12.2 MB
Tags	CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`8622db292b766719810e0cb0f62ef6141e15fe32b04e4eb2959888319e59336b`
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Release files / numpy-1.14.5-cp36-cp36m-manylinux1_i686.whl

Download URL	numpy-1.14.5-cp36-cp36m-manylinux1_i686.whl
Size	8.7 MB
Tags	CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.5+ x86-32
SHA-256 checksum How to use checksums	`9d69967673ab7b028c2df09cae05ba56bf4e39e3cb04ebe452b6035c3b49848e`
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Release files / numpy-1.14.5-cp36-cp36m-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-1.14.5-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Size	4.7 MB
Tags	CPython 3.6 CPython 3.6 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	`8b8dcfcd630f1981f0f1e3846fae883376762a0c1b472baa35b145b911683b7b`
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Release files / numpy-1.14.5-cp35-none-win_amd64.whl

Download URL	numpy-1.14.5-cp35-none-win_amd64.whl
Size	13.4 MB
Tags	CPython 3.5 Windows x86-64
SHA-256 checksum How to use checksums	`51c5dcb51cf88b34b7d04c15f600b07c6ccbb73a089a38af2ab83c02862318da`
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Release files / numpy-1.14.5-cp35-none-win32.whl

Download URL	numpy-1.14.5-cp35-none-win32.whl
Size	9.8 MB
Tags	CPython 3.5 Windows x86-32
SHA-256 checksum How to use checksums	`2d6481c6bdab1c75affc0fc71eb1bd4b3ecef620d06f2f60c3f00521d54be04f`
BLAKE2b-256 checksum How to use checksums	`562c3dca9665f019efbe735814564bcf4b3b71618cea5f0ccec8847361e61a24`
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Release files / numpy-1.14.5-cp35-cp35m-manylinux1_x86_64.whl

Download URL	numpy-1.14.5-cp35-cp35m-manylinux1_x86_64.whl
Size	12.1 MB
Tags	CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`baadc5f770917ada556afb7651a68176559f4dca5f4b2d0947cd15b9fb84fb51`
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Release files / numpy-1.14.5-cp35-cp35m-manylinux1_i686.whl

Download URL	numpy-1.14.5-cp35-cp35m-manylinux1_i686.whl
Size	8.7 MB
Tags	CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.5+ x86-32
SHA-256 checksum How to use checksums	`2df854df882d322d5c23087a4959e145b953dfff2abe1774fec4f639ac2f3160`
BLAKE2b-256 checksum How to use checksums	`cecff39cfcecb20c3a11ee31806847b3c7fedcd3729ae7a94026ae0665a52f0b`
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Release files / numpy-1.14.5-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-1.14.5-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	4.7 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	`d696a8c87315a83983fc59dd27efe034292b9e8ad667aeae51a68b4be14690d9`
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Release files / numpy-1.14.5-cp34-none-win_amd64.whl

Download URL	numpy-1.14.5-cp34-none-win_amd64.whl
Size	13.3 MB
Tags	CPython 3.4 Windows x86-64
SHA-256 checksum How to use checksums	`4d278c2261be6423c5e63d8f0ceb1b0c6db3ff83f2906f4b860db6ae99ca1bb5`
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Release files / numpy-1.14.5-cp34-none-win32.whl

Download URL	numpy-1.14.5-cp34-none-win32.whl
Size	9.8 MB
Tags	CPython 3.4 Windows x86-32
SHA-256 checksum How to use checksums	`9e1f53afae865cc32459ad211493cf9e2a3651a7295b7a38654ef3d123808996`
BLAKE2b-256 checksum How to use checksums	`7a3c5005320dcdb3afaab599f6ea40f4d5b7ed9e19dc9282cd3f533bc4207055`
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Release files / numpy-1.14.5-cp34-cp34m-manylinux1_x86_64.whl

Download URL	numpy-1.14.5-cp34-cp34m-manylinux1_x86_64.whl
Size	12.1 MB
Tags	CPython 3.4 CPython 3.4 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`07379fe0b450f6fd6e5934a9bc015025bb4ce1c8fbed3ca8bef29328b1bc9570`
BLAKE2b-256 checksum How to use checksums	`6a6924b5d5c2466df479ed42f970a61eb570f57d8a20bd79e44ec39ee37ded12`
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Release files / numpy-1.14.5-cp34-cp34m-manylinux1_i686.whl

Download URL	numpy-1.14.5-cp34-cp34m-manylinux1_i686.whl
Size	8.7 MB
Tags	CPython 3.4 CPython 3.4 pymalloc Linux glibc 2.5+ x86-32
SHA-256 checksum How to use checksums	`c725d11990a9243e6ceffe0ab25a07c46c1cc2c5dc55e305717b5afe856c9608`
BLAKE2b-256 checksum How to use checksums	`ffcac591a5c84ec7db7628bc76db4d3d30b594bc3fa39c4350eebc0c6b2d239d`
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Release files / numpy-1.14.5-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-1.14.5-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	4.7 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	`758d1091a501fd2d75034e55e7e98bfd1370dc089160845c242db1c760d944d9`
BLAKE2b-256 checksum How to use checksums	`d166f7bc6d90b4a025d6c6289e27f392d82ca127ac05291375e9082a0ed97f51`
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Release files / numpy-1.14.5-cp27-none-win_amd64.whl

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Release files / numpy-1.14.5-cp27-none-win32.whl

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Release files / numpy-1.14.5-cp27-cp27mu-manylinux1_x86_64.whl

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Release files / numpy-1.14.5-cp27-cp27mu-manylinux1_i686.whl

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Release files / numpy-1.14.5-cp27-cp27m-manylinux1_i686.whl

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Release files / numpy-1.14.5-cp27-cp27m-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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Size	4.7 MB
Tags	CPython 2.7 CPython 2.7 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
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numpy 1.14.5

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