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NumPy: array processing for numbers, strings, records, and objects.

Project description

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 history Release notifications

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1.15.0rc2

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1.15.0rc1

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1.14.5

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1.14.4

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1.14.3

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1.14.2

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1.14.1

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1.14.0

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1.14.0rc1

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1.13.3

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1.13.1

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1.13.0

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1.13.0rc2

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1.13.0rc1

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1.12.1

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1.12.1rc1

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1.12.0

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1.12.0rc2

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1.12.0rc1

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1.12.0b1

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1.11.3

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1.11.2

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1.11.2rc1

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1.11.1

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1.11.1rc1

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1.11.0

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1.11.0rc2

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1.11.0rc1

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1.11.0b3

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1.10.4

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1.10.3

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1.10.2

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1.10.1

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1.10.0

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1.9.3

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1.9.2

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1.9.1

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1.9.0

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1.8.2

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1.8.1

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1.8.0

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1.7.2

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1.7.1

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1.7.0

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1.6.2

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1.6.1

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1.6.0

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1.5.1

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1.5.0

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1.4.1

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1.4.0

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1.3.0

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1.2.1

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1.2.0

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1.1.1

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1.0.4

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1.0.3

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1.0

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1.0rc3

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1.0rc2

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1.0rc1

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1.0b5

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1.0b4

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1.0b1

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0.9.8

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0.9.6

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Filename, size & hash SHA256 hash help File type Python version Upload date
numpy-1.7.1-cp26-cp26m-manylinux1_x86_64.whl (14.0 MB) Copy SHA256 hash SHA256 Wheel cp26 Apr 20, 2016
numpy-1.7.1-cp26-cp26mu-manylinux1_x86_64.whl (14.0 MB) Copy SHA256 hash SHA256 Wheel cp26 Apr 20, 2016
numpy-1.7.1-cp27-cp27m-manylinux1_x86_64.whl (14.0 MB) Copy SHA256 hash SHA256 Wheel cp27 Apr 20, 2016
numpy-1.7.1-cp27-cp27mu-manylinux1_x86_64.whl (14.0 MB) Copy SHA256 hash SHA256 Wheel cp27 Apr 20, 2016
numpy-1.7.1-cp27-none-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.whl (11.9 MB) Copy SHA256 hash SHA256 Wheel cp27 Jul 30, 2014
numpy-1.7.1-cp32-cp32m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.whl (11.9 MB) Copy SHA256 hash SHA256 Wheel cp32 Jul 30, 2014
numpy-1.7.1-cp33-cp33m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.whl (11.9 MB) Copy SHA256 hash SHA256 Wheel cp33 Jul 30, 2014
numpy-1.7.1-cp33-cp33m-manylinux1_x86_64.whl (14.0 MB) Copy SHA256 hash SHA256 Wheel cp33 Apr 20, 2016
numpy-1.7.1-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.whl (11.9 MB) Copy SHA256 hash SHA256 Wheel cp34 Jul 30, 2014
numpy-1.7.1-cp34-cp34m-manylinux1_x86_64.whl (14.2 MB) Copy SHA256 hash SHA256 Wheel cp34 Apr 20, 2016
numpy-1.7.1.tar.gz (2.8 MB) Copy SHA256 hash SHA256 Source None Apr 7, 2013
numpy-1.7.1.win32-py2.5.exe (3.3 MB) Copy SHA256 hash SHA256 Windows Installer 2.5 Apr 7, 2013
numpy-1.7.1.win32-py2.6.exe (2.8 MB) Copy SHA256 hash SHA256 Windows Installer 2.6 Apr 7, 2013
numpy-1.7.1.win32-py2.7.exe (2.8 MB) Copy SHA256 hash SHA256 Windows Installer 2.7 Apr 7, 2013
numpy-1.7.1.win32-py3.1.exe (2.8 MB) Copy SHA256 hash SHA256 Windows Installer 3.1 Apr 7, 2013
numpy-1.7.1.win32-py3.2.exe (2.8 MB) Copy SHA256 hash SHA256 Windows Installer 3.2 Apr 7, 2013
numpy-1.7.1.win32-py3.3.exe (2.8 MB) Copy SHA256 hash SHA256 Windows Installer 3.3 Apr 7, 2013
numpy-1.7.1.zip (3.1 MB) Copy SHA256 hash SHA256 Source None Apr 7, 2013

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