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, python312-cython, python312-dateutil, python312-devel, python312-pytz, python39-cython, python39-dateutil, python39-devel, python39-pytz

install package(s):

python3-pandas, python312-pandas, python39-pandas

homepage:

https://pandas.pydata.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.)

repology info:

python:pandas (3.0.5)

importance:

leaf