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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.
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- Full name
- 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
- Available versions
The list below is just for information; Zero Install will automatically select one of these versions for you.
Version Released Stability Platform Download 1.6.2 2012-05-20 buggy MacOSX-* Download (2972560 bytes) 1.6.2 2012-05-20 stable MacOSX-* Download (2869284 bytes) 1.7.1 2013-10-30 stable MacOSX-* Download (3238510 bytes) 1.8.0 2013-10-30 stable MacOSX-* Download (3410423 bytes) 1.8.0 2013-10-30 stable Windows-* Download (3745016 bytes) Non-Zero Install packages provided distributions can also provide this interface:
Distribution Package name RPM numpy RPM python-numpy Debian python-numpy Gentoo dev-python/numpy Arch python2-numpy RPM python2-numpy Darwin numpy Ports numpy Ports py26-numpy Ports py27-numpy Ports py32-numpy Ports py33-numpy Ports py34-numpy MacPorts py26-numpy MacPorts py27-numpy MacPorts py32-numpy MacPorts py33-numpy MacPorts py34-numpy - Required libraries
The list below is just for information; Zero Install will automatically download any required libraries for you.