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, libstdc++6, python39, python39-dateutil, python39-hypothesis, python39-markupsafe, python39-matplotlib, python39-numpy, python39-pytest, python39-pytz

rdepends:

python3-pandas

source package:

python-pandas

maintainer(s):

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