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, python37, python37-cffi, python37-cython, python37-hypothesis, python37-nose, python37-pytest, python37-setuptools

rdepends:

python37-h5py, python37-hypothesis, python37-ipython, python37-matplotlib, python37-nbformat, python37-pygame, python37-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.)