summary:

Python scientific computing module

description:

The fundamental package needed for scientific computing with Python is called NumPy. This package contains a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, and useful linear algebra, Fourier transform, and random number capabilities.

categories:

Python

build-depends:

cygport

install package(s):

python-numpy-debuginfo, python3-numpy, python312-numpy, python37-numpy, python38-numpy, python39-numpy

homepage:

https://www.numpy.org/

license:

BSD-3-Clause (SPDX)

maintainer(s):

Marco Atzeri (Use the mailing list to report bugs or ask questions. Do not contact the maintainer(s) directly.)

packaging repository:

python-numpy.git

repology info:

python:numpy (2.5.2)

importance:

normal