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, python36, python36-cffi, python36-cython, python36-nose, python36-setuptools

obsoletes:

python3-numpy

rdepends:

python36-h5py, python36-hypothesis, python36-ipython, python36-matplotlib, python36-nbformat, python36-pygame, python36-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.)