A fast multidimensional array facility for Python 3.6
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.
Release | Stable | Testing |
---|---|---|
EPEL 7 | 1.12.1-3.el7 | - |
You can contact the maintainers of this package via email at
python3-numpy dash maintainers at fedoraproject dot org
.