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numpy - A fast multidimensional array facility for Python
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.
There are also basic facilities for discrete fourier transform,
basic linear algebra and random number generation. Also included in
this package is a version of f2py that works properly with NumPy.
Packages
| Name |
Version |
Release |
Type |
Size |
Built |
| numpy |
1.0.1 |
3.fc5 |
ppc |
8.51 MiB |
Fri Feb 23 17:32:43 2007 |
Changelog
- * Fri Feb 23 17:00:00 2007 Jarod Wilson <jwilson{%}redhat{*}com> 1.0.1-3
- Fix up cpuinfo bug (#229753). Upstream bug/change:
http://projects.scipy.org/scipy/scipy/ticket/349
- * Thu Jan 4 17:00:00 2007 Jarod Wilson <jwilson{%}redhat{*}com> 1.0.1-2
- Per discussion w/Jose Matos, Obsolete/Provide f2py, as the
stand-alone one is no longer supported/maintained upstream
- * Wed Dec 13 17:00:00 2006 Jarod Wilson <jwilson{%}redhat{*}com> 1.0.1-1
- New upstream release