<feed xmlns='http://www.w3.org/2005/Atom'>
<title>pkgsrc/math/py-numpy/PLIST, branch TNF</title>
<subtitle>[no description]</subtitle>
<id>https://git.osdyson.ru/mirror/pkgsrc/atom?h=TNF</id>
<link rel='self' href='https://git.osdyson.ru/mirror/pkgsrc/atom?h=TNF'/>
<link rel='alternate' type='text/html' href='https://git.osdyson.ru/mirror/pkgsrc/'/>
<updated>2008-12-19T22:04:36Z</updated>
<entry>
<title>Initial import of py-numpy 1.1.0</title>
<updated>2008-12-19T22:04:36Z</updated>
<author>
<name>markd</name>
<email>markd@pkgsrc.org</email>
</author>
<published>2008-12-19T22:04:36Z</published>
<link rel='alternate' type='text/html' href='https://git.osdyson.ru/mirror/pkgsrc/commit/?id=afdd2e5bfda7e25df4cfbce9a7997e09d375744f'/>
<id>urn:sha1:afdd2e5bfda7e25df4cfbce9a7997e09d375744f</id>
<content type='text'>
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.

Pkgsrc issue: if the package build happens to find a fortran it prefers
over the one pkgsrc is using it will try to use it and the wrong thing
will happen.</content>
</entry>
</feed>
