numpy

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4 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.

Metadata

Release files for numpy 1.11.0

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

Files added late

4 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 1.11.0
File	Size	Uploaded
numpy-1.11.0.zip	4.7 MB	Mar 27, 2016	Details
numpy-1.11.0.tar.gz	4.2 MB	Mar 27, 2016	Details

Built distributions (wheels)

Table of built distributions (wheels) for numpy 1.11.0
File	Interpreter	ABI	Platform	Reset
numpy-1.11.0-cp35-none-win_amd64.whl 7.6 MB Mar 30, 2016	CPython 3.5	none	Windows x86-64	Details
numpy-1.11.0-cp35-none-win32.whl 6.6 MB Mar 30, 2016	CPython 3.5	none	Windows x86-32	Details
numpy-1.11.0-cp35-cp35m-manylinux1_x86_64.whl 15.5 MB Apr 13, 2016	CPython 3.5	CPython 3.5 pymalloc	Linux glibc 2.5+ x86-64	Details
numpy-1.11.0-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 3.8 MB Mar 27, 2016	CPython 3.5	CPython 3.5 pymalloc	macOS 10.6+ Intel (x86-64, i386), macOS 10.10+ x86-64, macOS 10.10+ Intel (x86-64, i386), macOS 10.9+ x86-64, macOS 10.9+ Intel (x86-64, i386)	Details
numpy-1.11.0-cp34-none-win_amd64.whl 7.4 MB Mar 30, 2016	CPython 3.4	none	Windows x86-64	Details
numpy-1.11.0-cp34-none-win32.whl 6.5 MB Mar 30, 2016	CPython 3.4	none	Windows x86-32	Details
numpy-1.11.0-cp34-cp34m-manylinux1_x86_64.whl 15.5 MB Apr 13, 2016	CPython 3.4	CPython 3.4 pymalloc	Linux glibc 2.5+ x86-64	Details
numpy-1.11.0-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 3.8 MB Mar 27, 2016	CPython 3.4	CPython 3.4 pymalloc	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), macOS 10.9+ x86-64	Details
numpy-1.11.0-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 3.8 MB Mar 27, 2016	CPython 3.3	CPython 3.3 pymalloc	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-1.11.0-cp27-none-win_amd64.whl 7.4 MB Mar 30, 2016	CPython 2.7	none	Windows x86-64	Details
numpy-1.11.0-cp27-none-win32.whl 6.5 MB Mar 30, 2016	CPython 2.7	none	Windows x86-32	Details
numpy-1.11.0-cp27-cp27mu-manylinux1_x86_64.whl 15.3 MB Apr 13, 2016	CPython 2.7	CPython 2.7 pymalloc wide-unicode	Linux glibc 2.5+ x86-64	Details
numpy-1.11.0-cp27-cp27m-manylinux1_x86_64.whl 15.3 MB Apr 18, 2016	CPython 2.7	CPython 2.7 pymalloc	Linux glibc 2.5+ x86-64	Details
numpy-1.11.0-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 3.9 MB Mar 27, 2016	CPython 2.7	CPython 2.7 pymalloc	macOS 10.10+ x86-64, macOS 10.9+ Intel (x86-64, i386), macOS 10.6+ Intel (x86-64, i386), macOS 10.9+ x86-64, macOS 10.10+ Intel (x86-64, i386)	Details

Total release size: 127.8 MB

Release files / numpy-1.11.0.zip

Download URL	numpy-1.11.0.zip
Size	4.7 MB
Tags	Source
SHA-256 checksum How to use checksums	`9109f260850627e4b83a3c4bcef4f2f99357eb4a5eaae75dec51c32f3c197aa3`
BLAKE2b-256 checksum How to use checksums	`26a4795f8fe937283cbdb363205bdcbf91c3e0667294545577b7e9d2251b4f67`
Upload date	Mar 27, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.11.0.tar.gz

Download URL	numpy-1.11.0.tar.gz
Size	4.2 MB
Tags	Source
SHA-256 checksum How to use checksums	`a1d1268d200816bfb9727a7a27b78d8e37ecec2e4d5ebd33eb64e2789e0db43e`
BLAKE2b-256 checksum How to use checksums	`1a5c57c6920bf4a1b1c11645b625e5483d778cedb3823ba21a017112730f0a12`
Upload date	Mar 27, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.11.0-cp35-none-win_amd64.whl

Download URL	numpy-1.11.0-cp35-none-win_amd64.whl
Size	7.6 MB
Tags	CPython 3.5 Windows x86-64
SHA-256 checksum How to use checksums	`7fde25785a99d22cda00ee900772e7ba2dbbd6c9384413afd1b6ebd66e90b2a4`
BLAKE2b-256 checksum How to use checksums	`4b463526dcd37d4e4bf6fb718c6637041711653b3068d1529761a8211c151361`
Upload date	Mar 30, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.11.0-cp35-none-win32.whl

Download URL	numpy-1.11.0-cp35-none-win32.whl
Size	6.6 MB
Tags	CPython 3.5 Windows x86-32
SHA-256 checksum How to use checksums	`81160e1f01fa21c2ec7a8a26ff16ec47336ee28c61540feaf5b3014d13dbdaed`
BLAKE2b-256 checksum How to use checksums	`1d5d34a1014a7d8cd25a32d95d6102f8ff69eb9f461980b7944e03021cc9a20f`
Upload date	Mar 30, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / numpy-1.11.0-cp35-cp35m-manylinux1_x86_64.whl

File added late

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Download URL	numpy-1.11.0-cp35-cp35m-manylinux1_x86_64.whl
Size	15.5 MB
Tags	CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`da21856583a1f6ed0131e2094d6e6ef1881b09860777510f979e33d8361f7379`
BLAKE2b-256 checksum How to use checksums	`adaca8154670deedc6d482c4e43cdca61f645967a734575105a602d3ecb84bf7`
Upload date	Apr 13, 2016
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Release files / numpy-1.11.0-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-1.11.0-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	3.8 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	`0b1d6a4758a0f98ce7f8d1f429d97eb721dc2f4dea2586d61d1bbc604bd803a9`
BLAKE2b-256 checksum How to use checksums	`193fe851c42d43c65cbca23c2a3323e950d013d648bdbe341eff1faf0b15570d`
Upload date	Mar 27, 2016
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Release files / numpy-1.11.0-cp34-none-win_amd64.whl

Download URL	numpy-1.11.0-cp34-none-win_amd64.whl
Size	7.4 MB
Tags	CPython 3.4 Windows x86-64
SHA-256 checksum How to use checksums	`e87c90be5719901ac19df861f40d8f16a9368cc68d3ede2b615c4c1524c305c8`
BLAKE2b-256 checksum How to use checksums	`854db421b7a81deb345ef2235887b1370ba05be5888c97ccceb6e21a2e8f7b8e`
Upload date	Mar 30, 2016
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Release files / numpy-1.11.0-cp34-none-win32.whl

Download URL	numpy-1.11.0-cp34-none-win32.whl
Size	6.5 MB
Tags	CPython 3.4 Windows x86-32
SHA-256 checksum How to use checksums	`0f87221d407beb3a656f94a9706829b80f2864d010ca8ddebba6080893b18813`
BLAKE2b-256 checksum How to use checksums	`654cd787fcd02ede34c00d5c699cd51c3d331e9feee406d99272e31f0e319457`
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Release files / numpy-1.11.0-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-1.11.0-cp34-cp34m-manylinux1_x86_64.whl
Size	15.5 MB
Tags	CPython 3.4 CPython 3.4 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`b8f4afab6b8438036a99cf3384eccc7da6286c6e6077cfedb5651fd5fdcaeda0`
BLAKE2b-256 checksum How to use checksums	`eaca5e48a68be496e6f79c3c8d90f7c03ea09bbb154ea4511f5b3d6c825cefe5`
Upload date	Apr 13, 2016
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Release files / numpy-1.11.0-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-1.11.0-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	3.8 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	`da76d2b0e49e7c392192e7c695eabbb0309ed031980197fe3e7c74dcfcede005`
BLAKE2b-256 checksum How to use checksums	`e3cac4a32d01ab1a0d966294f266812c9231ae64f1a9d9743b6ea95ba5e0b762`
Upload date	Mar 27, 2016
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Release files / numpy-1.11.0-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-1.11.0-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	3.8 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	`07bd13135c267bc5c449c196c428935b0880cb43579af1d0da883e9dadc0ef64`
BLAKE2b-256 checksum How to use checksums	`26ac38141d8c0ca181031f8335d6febf9615407c02edf577b5946374da9bf377`
Upload date	Mar 27, 2016
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Release files / numpy-1.11.0-cp27-none-win_amd64.whl

Download URL	numpy-1.11.0-cp27-none-win_amd64.whl
Size	7.4 MB
Tags	CPython 2.7 Windows x86-64
SHA-256 checksum How to use checksums	`eb503c83ca75d309a1c4a7ac62a8a6f465fbb5128d1a56a1c97c8fb1f999a22a`
BLAKE2b-256 checksum How to use checksums	`a911199290f6576041c44aa4d46ece046fb06fe865cc96f69445fcf02c61855b`
Upload date	Mar 30, 2016
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Release files / numpy-1.11.0-cp27-none-win32.whl

Download URL	numpy-1.11.0-cp27-none-win32.whl
Size	6.5 MB
Tags	CPython 2.7 Windows x86-32
SHA-256 checksum How to use checksums	`579fda18697cf978fd4f8eef573b16285887411782fd029d7d6b09bd61658279`
BLAKE2b-256 checksum How to use checksums	`6029b7ccc96ac304b760f1bf814e97a26b371f854438eb1a2db8d0952c93d3b8`
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Release files / numpy-1.11.0-cp27-cp27mu-manylinux1_x86_64.whl

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Download URL	numpy-1.11.0-cp27-cp27mu-manylinux1_x86_64.whl
Size	15.3 MB
Tags	CPython 2.7 CPython 2.7 pymalloc wide-unicode Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`cf49c2451905b170a32e043a2a4c323ac96c5d729713fe52c615dfcfb6816022`
BLAKE2b-256 checksum How to use checksums	`06923c786303889e6246971ad4c48ac2b4e37a1b1c67c0dc2106dc85cb15c18e`
Upload date	Apr 13, 2016
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Release files / numpy-1.11.0-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.

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Download URL	numpy-1.11.0-cp27-cp27m-manylinux1_x86_64.whl
Size	15.3 MB
Tags	CPython 2.7 CPython 2.7 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`611cd19f4ae1dc8a0388d89b2b074f14d13ab19f66881d9ba669c90aa6c874fb`
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Upload date	Apr 18, 2016
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Release files / numpy-1.11.0-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

Download URL	numpy-1.11.0-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
Size	3.9 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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Upload date	Mar 27, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

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2.5.3

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1.26.4

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1.24.4

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1.23.3

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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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1.19.2

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1.18.5

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1.17.2

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1.17.1

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1.16.6

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1.16.1

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1.15.4

Nov 4, 2018 28 release files

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1.15.2

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1.14.5

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1.14.1

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1.13.3

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1.13.1

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1.12.1

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1.11.3

Dec 19, 2016 21 release files

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Oct 4, 2016 19 release files

1.11.1

Jun 26, 2016 19 release files

This release

1.11.0 This release

Mar 27, 2016 16 release files

1.10.4

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1.10.3

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1.10.2

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1.7.0

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1.6.2

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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 1.11.0

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Key dates

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2 maintainers

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Release files for numpy 1.11.0

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Source distributions (sdists)

Built distributions (wheels)

Release files / numpy-1.11.0.zip

Release files / numpy-1.11.0.tar.gz

Release files / numpy-1.11.0-cp35-none-win_amd64.whl

Release files / numpy-1.11.0-cp35-none-win32.whl

Release files / numpy-1.11.0-cp35-cp35m-manylinux1_x86_64.whl

File added late

Release files / numpy-1.11.0-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-1.11.0-cp34-none-win_amd64.whl

Release files / numpy-1.11.0-cp34-none-win32.whl

Release files / numpy-1.11.0-cp34-cp34m-manylinux1_x86_64.whl

File added late

Release files / numpy-1.11.0-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-1.11.0-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-1.11.0-cp27-none-win_amd64.whl

Release files / numpy-1.11.0-cp27-none-win32.whl

Release files / numpy-1.11.0-cp27-cp27mu-manylinux1_x86_64.whl

File added late

Release files / numpy-1.11.0-cp27-cp27m-manylinux1_x86_64.whl

File added late

Release files / numpy-1.11.0-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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