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

depends:

cygwin, libgcc1, liblapack0, libopenblas, python38, python38-cffi, python38-cython, python38-hypothesis, python38-nose, python38-pytest, python38-setuptools

rdepends:

python3-cv2, python38-h5py, python38-hypothesis, python38-ipython, python38-matplotlib, python38-nbformat, python38-pygame, python38-wx

build_rdepends:

python3-wx

source package:

python-numpy

maintainer(s):

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