SlackBuilds Repository

13.1 > Development > numpy (1.4.1)

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: Serban Udrea
Approved by: rworkman
Keywords: Python,scientific computing,array,matrix,mathematical functions,Fortran wrapper,academic,math

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

Source Downloads:
numpy-1.4.1.tar.gz (5c7b5349dc3161763f7f366ceb96516b)

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

[  Exec: 0.0301 sec  |  Load: 0.08 0.16 0.21  ]

© 2006-2014 SlackBuilds.org Project. All rights reserved.
Slackware® is a registered trademark of Patrick Volkerding
Linux® is a registered trademark of Linus Torvalds
Web Design by WebSight Designs |  Managed Hosting by OnyxLight Communications