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13.0 > Development > numpy (1.3.0)

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.

Maintained by: Aleksandar Samardzic
Approved by: Erik Hanson
Keywords: Python,scientific computing,array,matrix,mathematical functions,Fortran wrapper,academic,math

Homepage:
http://numpy.scipy.org/

Source Downloads:
numpy-1.3.0.tar.gz (3f7773ff0971a5ebb8591536d8ec7bd6)

Download SlackBuild:
numpy.tar.gz
numpy.tar.gz.asc (FAQ)

(the SlackBuild does not include the source)

Individual Files:
README
numpy.SlackBuild
numpy.info
slack-desc

See our HOWTO for instructions on how to use the contents of this repository.

Access to the repository is available via:
ftp git cgit http rsync

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