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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 |
1.0.3 |
0.1.fc6 |
x86_64 |
8.95 MiB |
Wed Jun 6 15:08:17 2007 |
Changelog
- * Wed Jun 6 18:00:00 2007 Jarod Wilson <jwilson{%}redhat{*}com> 1.0.3-1
- New upstream release
- * Mon May 14 18:00:00 2007 Jarod Wilson <jwilson{%}redhat{*}com> 1.0.2-2
- Drop BR: atlas-devel, since it just provides binary-compat
blas and lapack libs. Atlas can still be optionally used
at runtime. (Note: this is all per the atlas maintainer).
- * Mon May 14 18:00:00 2007 Jarod Wilson <jwilson{%}redhat{*}com> 1.0.2-1
- New upstream release