<package>
<name>python310-numpy</name>
<short>Python 3.10 - NumPy - array processing for numbers, etc..</short>
<version>3.4.2</version>
<date>2023-11-11</date>
<system>eisfair-1</system>
<author>the eisfair team, team(at)eisfair(dot)org</author>
<status>stable</status>
<section>python3</section>
<require-package>glibc 3.4.2</require-package>
<require-package>python310-base 3.4.2</require-package>
<require-package>libblas3 3.4.0</require-package>
<require-package>libgcc_s1 3.4.0</require-package>
<require-package>libgfortran5 3.4.0</require-package>
<require-package>liblapack3 3.4.0</require-package>
<require-package>libquadmath0 3.4.0</require-package>
<require-package>libstdcpp6 3.4.0</require-package>
<require-package>update-alternatives 3.4.0</require-package>
<linked-package>python310-numpy-dev 3.4.2</linked-package>
<description>
Internal Program Version: NumPy  1.25.2

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.

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