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NumPy - The fundamental package for scientific computing with Python

Published by Florian Höch

Overview

This is a Zero Install feed. This software cannot be run as an application directly. It is a library for other programs to use.

For more information about Zero Install, see 0install.net.

Full name

http://dispcalgui.hoech.net/0install/numpy.xml

Description

NumPy is the fundamental package for scientific computing with Python. It contains among other things: A powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, useful linear algebra, Fourier transform, and random number capabilities. Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

Homepage

http://www.numpy.org/

Available versions

The list below is just for information; Zero Install will automatically select one of these versions for you.

VersionReleasedStabilityPlatformDownload
1.6.22012-05-20buggyMacOSX-*Download (2972560 bytes)
1.6.22012-05-20stableMacOSX-*Download (2869284 bytes)
1.7.12013-10-30stableMacOSX-*Download (3238510 bytes)
1.8.02013-10-30stableMacOSX-*Download (3410423 bytes)
1.8.02013-10-30stableWindows-*Download (3745016 bytes)

Non-Zero Install packages provided distributions can also provide this interface:

DistributionPackage name
RPMnumpy
RPMpython-numpy
Debianpython-numpy
Gentoodev-python/numpy
Archpython2-numpy
RPMpython2-numpy
Darwinnumpy
Portsnumpy
Portspy26-numpy
Portspy27-numpy
Portspy32-numpy
Portspy33-numpy
Portspy34-numpy
MacPortspy26-numpy
MacPortspy27-numpy
MacPortspy32-numpy
MacPortspy33-numpy
MacPortspy34-numpy
Required libraries

The list below is just for information; Zero Install will automatically download any required libraries for you.