numpy

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13 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 1.10.4

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

Files added late

13 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 1.10.4
File	Size	Uploaded
numpy-1.10.4.zip	4.6 MB	Jan 7, 2016	Details
numpy-1.10.4.tar.gz	4.1 MB	Jan 7, 2016	Details

Built distributions (wheels)

Table of built distributions (wheels) for numpy 1.10.4
File	Interpreter	ABI	Platform	Reset
numpy-1.10.4-cp35-none-win_amd64.whl 7.5 MB Mar 7, 2016	CPython 3.5	none	Windows x86-64	Details
numpy-1.10.4-cp35-none-win32.whl 6.6 MB Mar 7, 2016	CPython 3.5	none	Windows x86-32	Details
numpy-1.10.4-cp35-cp35m-manylinux1_x86_64.whl 15.3 MB Apr 20, 2016	CPython 3.5	CPython 3.5 pymalloc	Linux glibc 2.5+ x86-64	Details
numpy-1.10.4-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 3.7 MB Jan 7, 2016	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-1.10.4-cp34-none-win_amd64.whl 7.3 MB Mar 7, 2016	CPython 3.4	none	Windows x86-64	Details
numpy-1.10.4-cp34-none-win32.whl 6.4 MB Mar 7, 2016	CPython 3.4	none	Windows x86-32	Details
numpy-1.10.4-cp34-cp34m-manylinux1_x86_64.whl 15.3 MB Apr 20, 2016	CPython 3.4	CPython 3.4 pymalloc	Linux glibc 2.5+ x86-64	Details
numpy-1.10.4-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 3.7 MB Jan 7, 2016	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-1.10.4-cp33-cp33m-manylinux1_x86_64.whl 15.1 MB Apr 20, 2016	CPython 3.3	CPython 3.3 pymalloc	Linux glibc 2.5+ x86-64	Details
numpy-1.10.4-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 3.7 MB Jan 7, 2016	CPython 3.3	CPython 3.3 pymalloc	macOS 10.6+ Intel (x86-64, i386), macOS 10.9+ Intel (x86-64, i386), macOS 10.10+ x86-64, macOS 10.10+ Intel (x86-64, i386), macOS 10.9+ x86-64	Details
numpy-1.10.4-cp27-none-win_amd64.whl 7.3 MB Mar 7, 2016	CPython 2.7	none	Windows x86-64	Details
numpy-1.10.4-cp27-none-win32.whl 6.4 MB Mar 7, 2016	CPython 2.7	none	Windows x86-32	Details
numpy-1.10.4-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 3.7 MB Jan 7, 2016	CPython 2.7	none	macOS 10.6+ Intel (x86-64, i386), macOS 10.10+ Intel (x86-64, i386), macOS 10.10+ x86-64, macOS 10.9+ Intel (x86-64, i386), macOS 10.9+ x86-64	Details
numpy-1.10.4-cp27-cp27mu-manylinux1_x86_64.whl 15.0 MB Apr 20, 2016	CPython 2.7	CPython 2.7 pymalloc wide-unicode	Linux glibc 2.5+ x86-64	Details
numpy-1.10.4-cp27-cp27m-manylinux1_x86_64.whl 15.0 MB Apr 20, 2016	CPython 2.7	CPython 2.7 pymalloc	Linux glibc 2.5+ x86-64	Details
numpy-1.10.4-cp26-cp26mu-manylinux1_x86_64.whl 15.0 MB Apr 20, 2016	CPython 2.6	CPython 2.6 pymalloc wide-unicode	Linux glibc 2.5+ x86-64	Details
numpy-1.10.4-cp26-cp26m-manylinux1_x86_64.whl 15.0 MB Apr 20, 2016	CPython 2.6	CPython 2.6 pymalloc	Linux glibc 2.5+ x86-64	Details

Total release size: 170.8 MB

Release files / numpy-1.10.4.zip

Download URL	numpy-1.10.4.zip
Size	4.6 MB
Tags	Source
SHA-256 checksum How to use checksums	`8ce443dc79656a9fc97a7837f1444d324aef2c9b53f31f83441f57ad1f1f3659`
BLAKE2b-256 checksum How to use checksums	`182c83ad456993e1629792d480c147b17c428e09672aa00efb77ee0419f26d83`
Upload date	Jan 7, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.10.4.tar.gz

Download URL	numpy-1.10.4.tar.gz
Size	4.1 MB
Tags	Source
SHA-256 checksum How to use checksums	`7356e98fbcc529e8d540666f5a919912752e569150e9a4f8d869c686f14c720b`
BLAKE2b-256 checksum How to use checksums	`1d943ad9a865f1b0853f952eaa9878c59371ac907b768fe789547f573a6c9b39`
Upload date	Jan 7, 2016
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Release files / numpy-1.10.4-cp35-none-win_amd64.whl

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Download URL	numpy-1.10.4-cp35-none-win_amd64.whl
Size	7.5 MB
Tags	CPython 3.5 Windows x86-64
SHA-256 checksum How to use checksums	`2e5061e59fe46f1773f9ab022566629e3dd7880ade7c195c85c71fe5fdfedcab`
BLAKE2b-256 checksum How to use checksums	`dd7ef9ba4593d26c8814022bc0658668abdc1950e390ad5195783774808e4cd6`
Upload date	Mar 7, 2016
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Release files / numpy-1.10.4-cp35-none-win32.whl

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Download URL	numpy-1.10.4-cp35-none-win32.whl
Size	6.6 MB
Tags	CPython 3.5 Windows x86-32
SHA-256 checksum How to use checksums	`cdc80cca8ec5383083aa8aafe00dcb314a20fbe54f3f617bcb5abb5d5b869371`
BLAKE2b-256 checksum How to use checksums	`02977a95b7bf1f6a7d23f49ff9fd49e029495d87897d6c9fab721069bddc8cf5`
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Release files / numpy-1.10.4-cp35-cp35m-manylinux1_x86_64.whl

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Download URL	numpy-1.10.4-cp35-cp35m-manylinux1_x86_64.whl
Size	15.3 MB
Tags	CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`60544789979589a0f6110a5688301b11f375a558fe7d8b4c09b47064a8e05939`
BLAKE2b-256 checksum How to use checksums	`4eb8f8ee3809eb08f57382a3c24ee63e8e2394466d777fe7e54717c4416fe3a2`
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Release files / numpy-1.10.4-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-1.10.4-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	3.7 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	`93a16d948071da5599f9e0a8d11544b1c0ab370bf61f06aa65d350fecda57252`
BLAKE2b-256 checksum How to use checksums	`8fa83c119af735abb6915db646559bfbd09d66cdff911fa5d74b85523b12ca0a`
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Release files / numpy-1.10.4-cp34-none-win_amd64.whl

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Download URL	numpy-1.10.4-cp34-none-win_amd64.whl
Size	7.3 MB
Tags	CPython 3.4 Windows x86-64
SHA-256 checksum How to use checksums	`e7bf4db7beb70a6320fc02d80452fdddfe4d2b3050b3afbda34d0087a4d2dc07`
BLAKE2b-256 checksum How to use checksums	`d9265525b4e94ef78b7fccc92d0978362ced0b50de9e07bd0f32082f914ce29f`
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Release files / numpy-1.10.4-cp34-none-win32.whl

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Download URL	numpy-1.10.4-cp34-none-win32.whl
Size	6.4 MB
Tags	CPython 3.4 Windows x86-32
SHA-256 checksum How to use checksums	`033628b9021affb637cf28bfb4f432aca47577a56cb515155693af99870b5079`
BLAKE2b-256 checksum How to use checksums	`ba3db5f1f6b2960fd9d6a4540e2a4d18bfd0f75cc5f4e9ddde3a500193e3af93`
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Release files / numpy-1.10.4-cp34-cp34m-manylinux1_x86_64.whl

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Download URL	numpy-1.10.4-cp34-cp34m-manylinux1_x86_64.whl
Size	15.3 MB
Tags	CPython 3.4 CPython 3.4 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`9cf62f2f3c44bcdc8279f47fb71090345e1b676c360d8682b721ddfc2c7dbe80`
BLAKE2b-256 checksum How to use checksums	`0f6066709cbc72ca47a72f35fb55111318254da8f2a5252cf61b53a320cb73c9`
Upload date	Apr 20, 2016
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Release files / numpy-1.10.4-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-1.10.4-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	3.7 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	`ea531a2552d528e5835aa915d89ed457b031a4845ca60ebda6464e6f1ab7b631`
BLAKE2b-256 checksum How to use checksums	`885d77f7fed3d570a0e0e7de616a6f8452205b961db416b74e385f9e4c38f1aa`
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Release files / numpy-1.10.4-cp33-cp33m-manylinux1_x86_64.whl

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Download URL	numpy-1.10.4-cp33-cp33m-manylinux1_x86_64.whl
Size	15.1 MB
Tags	CPython 3.3 CPython 3.3 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`34e5f4a13c308dc67e60eb3c27a5e79c2599e62eaa9b30b7fa4833c9048a3ec2`
BLAKE2b-256 checksum How to use checksums	`5b49f3f3212c952467eec3b3299618c5ece48e7c67827bd7f236b41c4e50c9e1`
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Release files / numpy-1.10.4-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-1.10.4-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	3.7 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	`8b3e232e317fd089323148530a914d2d434b8f984336c83bb5abcb863e2b8dbc`
BLAKE2b-256 checksum How to use checksums	`f17e18f184c64a635ec9780b020cc3d6d71725fbb2195cb7aa14c52530df6e0d`
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Release files / numpy-1.10.4-cp27-none-win_amd64.whl

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Download URL	numpy-1.10.4-cp27-none-win_amd64.whl
Size	7.3 MB
Tags	CPython 2.7 Windows x86-64
SHA-256 checksum How to use checksums	`23f6d226e22048306487d00e3121662a60e746a0b50afecc9b09c1067bdb46d2`
BLAKE2b-256 checksum How to use checksums	`9a07b81a0b6a7164474d4c8708d5f491fa4ad7cfa748fe290df8d9eb3ff4d895`
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Release files / numpy-1.10.4-cp27-none-win32.whl

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Download URL	numpy-1.10.4-cp27-none-win32.whl
Size	6.4 MB
Tags	CPython 2.7 Windows x86-32
SHA-256 checksum How to use checksums	`e08815c1053be2488c97ac1976e3d79aba6e76974e871182700c76650013d54c`
BLAKE2b-256 checksum How to use checksums	`c65109b37f507c9b49d0cfc0f4ee43cc019c78e813dd9c2fd92980baa858250b`
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Release files / numpy-1.10.4-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-1.10.4-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	3.7 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	`d7a5fcb7bcacd6fbd3a1b685254d6e2c9b555ebe6f3022268a39e214b9d46cea`
BLAKE2b-256 checksum How to use checksums	`f55d13646daed60bcad901a2f02e106079e416a9c952c016b5dc3909599e9def`
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Release files / numpy-1.10.4-cp27-cp27mu-manylinux1_x86_64.whl

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Download URL	numpy-1.10.4-cp27-cp27mu-manylinux1_x86_64.whl
Size	15.0 MB
Tags	CPython 2.7 CPython 2.7 pymalloc wide-unicode Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`716ea99fa0fcc52aa76eb513a388c3c065731a99a697267b7791f011d9ef2f89`
BLAKE2b-256 checksum How to use checksums	`4b06c7df438b7b89e16161e4cc2183b5d7f36d0e5ceb46aa0adc4df12a8e8268`
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Release files / numpy-1.10.4-cp27-cp27m-manylinux1_x86_64.whl

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Download URL	numpy-1.10.4-cp27-cp27m-manylinux1_x86_64.whl
Size	15.0 MB
Tags	CPython 2.7 CPython 2.7 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`ecbff745fc0b0899005d34a2509b8aaf01d25ce1b0e7a2e959bbcb5be0aaef34`
BLAKE2b-256 checksum How to use checksums	`a863f6ffb261c30cd4b9ba93c9f54f4e2f33ce29e59991d935d5c541cf0e8d9e`
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Release files / numpy-1.10.4-cp26-cp26mu-manylinux1_x86_64.whl

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Download URL	numpy-1.10.4-cp26-cp26mu-manylinux1_x86_64.whl
Size	15.0 MB
Tags	CPython 2.6 CPython 2.6 pymalloc wide-unicode Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`a493afbc8ff68438ce0d91e33c70d0682ba7f4e88061ec0247fe9757b599313c`
BLAKE2b-256 checksum How to use checksums	`a9d72f4d536eaf4157518d7531b0358d20b86103464c5f35009780e8043043da`
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Release files / numpy-1.10.4-cp26-cp26m-manylinux1_x86_64.whl

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Download URL	numpy-1.10.4-cp26-cp26m-manylinux1_x86_64.whl
Size	15.0 MB
Tags	CPython 2.6 CPython 2.6 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`319c67543f081324ca0c61664caa1dfeed00cbcfe1195583f95690c56636f9d4`
BLAKE2b-256 checksum How to use checksums	`df85aa2c3e6249064a41b3893e1ab2f61016845294a66d5dbaa1f748aa594fe3`
Upload date	Apr 20, 2016
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1.26.0

Sep 16, 2023 32 release files

1.25.2

Jul 31, 2023 25 release files

1.25.1

Jul 8, 2023 25 release files

1.25.0

Jun 17, 2023 25 release files

1.24.4

Jun 26, 2023 28 release files

1.24.3

Apr 22, 2023 28 release files

1.24.2

Feb 5, 2023 28 release files

1.24.1

Dec 26, 2022 28 release files

1.24.0

Dec 18, 2022 28 release files

1.23.5

Nov 20, 2022 28 release files

1.23.4

Oct 12, 2022 28 release files

1.23.3

Sep 9, 2022 28 release files

1.23.2

Aug 14, 2022 28 release files

1.23.1

Jul 9, 2022 22 release files

1.23.0

Jun 22, 2022 22 release files

1.22.4

May 20, 2022 22 release files

1.22.3

Mar 7, 2022 20 release files

1.22.2

Feb 4, 2022 19 release files

1.22.1

Jan 14, 2022 22 release files

1.22.0

Dec 31, 2021 22 release files

1.21.6

Apr 12, 2022 31 release files

1.21.5

Dec 19, 2021 30 release files

1.21.4

Nov 5, 2021 30 release files

1.21.3

Oct 20, 2021 33 release files

1.21.2

Aug 15, 2021 30 release files

1.21.1

Jul 18, 2021 28 release files

1.21.0

Jun 22, 2021 28 release files

1.20.3

May 10, 2021 24 release files

1.20.2

Mar 27, 2021 24 release files

1.20.1

Feb 7, 2021 24 release files

1.20.0

Jan 30, 2021 24 release files

1.19.5

Jan 5, 2021 34 release files

1.19.4

Nov 2, 2020 34 release files

1.19.3

Oct 29, 2020 34 release files

1.19.2

Sep 10, 2020 26 release files

1.19.1

Jul 21, 2020 26 release files

1.19.0

Jun 20, 2020 26 release files

1.18.5

Jun 4, 2020 21 release files

1.18.4

May 3, 2020 21 release files

1.18.3

Apr 19, 2020 21 release files

1.18.2

Mar 17, 2020 21 release files

1.18.1

Jan 6, 2020 21 release files

1.18.0

Dec 22, 2019 21 release files

1.17.5

Jan 1, 2020 21 release files

1.17.4

Nov 11, 2019 21 release files

1.17.3

Oct 17, 2019 21 release files

1.17.2

Sep 7, 2019 16 release files

1.17.1

Aug 27, 2019 16 release files

1.17.0

Jul 26, 2019 16 release files

1.16.6

Dec 29, 2019 23 release files

1.16.5

Aug 28, 2019 23 release files

1.16.4

May 28, 2019 23 release files

1.16.3

Apr 22, 2019 23 release files

1.16.2

Feb 26, 2019 23 release files

1.16.1

Jan 31, 2019 23 release files

1.16.0

Jan 14, 2019 23 release files

1.15.4

Nov 4, 2018 28 release files

1.15.3

Oct 22, 2018 28 release files

1.15.2

Sep 23, 2018 28 release files

1.15.1

Aug 21, 2018 28 release files

1.15.0

Jul 23, 2018 28 release files

1.14.6

Sep 23, 2018 28 release files

1.14.5

Jun 12, 2018 28 release files

1.14.4

Jun 6, 2018 23 release files

1.14.3

Apr 28, 2018 23 release files

1.14.2

Mar 12, 2018 23 release files

1.14.1

Feb 21, 2018 23 release files

1.14.0

Jan 6, 2018 23 release files

1.13.3

Sep 29, 2017 23 release files

1.13.1

Jul 7, 2017 23 release files

1.13.0

Jun 7, 2017 23 release files

1.12.1

Mar 18, 2017 23 release files

1.12.0

Jan 15, 2017 23 release files

1.11.3

Dec 19, 2016 21 release files

1.11.2

Oct 4, 2016 19 release files

1.11.1

Jun 26, 2016 19 release files

1.11.0

Mar 27, 2016 16 release files

This release

1.10.4 This release

Jan 7, 2016 19 release files

1.10.3

Jan 7, 2016 7 release files

1.10.2

Dec 14, 2015 13 release files

1.10.1

Oct 12, 2015 13 release files

1.10.0

Oct 6, 2015 9 release files

1.9.3

Sep 21, 2015 13 release files

1.9.2

Mar 1, 2015 12 release files

1.9.1

Nov 2, 2014 12 release files

1.9.0

Sep 7, 2014 12 release files

1.8.2

Aug 9, 2014 11 release files

1.8.1

Mar 25, 2014 11 release files

1.8.0

Oct 30, 2013 8 release files

1.7.2

Dec 31, 2013 8 release files

1.7.1

Apr 7, 2013 18 release files

1.7.0

Feb 12, 2013 14 release files

1.6.2

May 20, 2012 12 release files

1.6.1

Jul 24, 2011 12 release files

1.6.0

May 14, 2011 12 release files

1.5.1

Nov 18, 2010 6 release files

1.5.0

Aug 31, 2010 2 release files

1.4.1

Apr 24, 2010 1 release file

1.4.0

Dec 28, 2009

1.3.0

Apr 5, 2009 2 release files

Oct 29, 2008

Oct 3, 2008

Aug 6, 2008

Nov 7, 2007

May 23, 2007

Oct 25, 2006 1 release file

Pre-release

1.0rc3

Oct 19, 2006

Pre-release

1.0rc2

Oct 10, 2006

Pre-release

1.0rc1

Sep 20, 2006

Pre-release

1.0b5

Sep 5, 2006

Pre-release

1.0b4

Aug 26, 2006

Pre-release

1.0b1

Jul 21, 2006

0.9.8

May 18, 2006

0.9.6

Mar 14, 2006

numpy 1.10.4

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Release files for numpy 1.10.4

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Release files / numpy-1.10.4.zip

Release files / numpy-1.10.4.tar.gz

Release files / numpy-1.10.4-cp35-none-win_amd64.whl

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Release files / numpy-1.10.4-cp35-none-win32.whl

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Release files / numpy-1.10.4-cp35-cp35m-manylinux1_x86_64.whl

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Release files / numpy-1.10.4-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

Release files / numpy-1.10.4-cp34-none-win_amd64.whl

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Release files / numpy-1.10.4-cp34-none-win32.whl

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Release files / numpy-1.10.4-cp34-cp34m-manylinux1_x86_64.whl

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Release files / numpy-1.10.4-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-1.10.4-cp33-cp33m-manylinux1_x86_64.whl

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Release files / numpy-1.10.4-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-1.10.4-cp27-none-win_amd64.whl

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Release files / numpy-1.10.4-cp27-none-win32.whl

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Release files / numpy-1.10.4-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-1.10.4-cp27-cp27mu-manylinux1_x86_64.whl

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Release files / numpy-1.10.4-cp27-cp27m-manylinux1_x86_64.whl

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Release files / numpy-1.10.4-cp26-cp26mu-manylinux1_x86_64.whl

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Release files / numpy-1.10.4-cp26-cp26m-manylinux1_x86_64.whl

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