<package>
<name>python-numpy-dev</name>
<short>HEADER: Python - NumPy - array processing for numbers</short>
<version>2.6.4</version>
<date>2016-07-26</date>
<system>eisfair-1</system>
<author>the eisfair team, team(at)eisfair(dot)org</author>
<status>stable</status>
<section>devel</section>
<require-package>base 2.7.4</require-package>
<require-lib>python-numpy 2.6.4</require-lib>
<require-package>liblapack-dev 2.6.0</require-package>
<require-package>gcfortran 2.6.0</require-package>
<description>
Internal Program Version:  NumPy 1.11.1  (The HEADER-Files)

Build for Python 2.7

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.

http://www.numpy.org
</description>
</package>