Port variant | py38 |
Summary | Array computing for Python (PY38) |
Package version | 1.21.4 |
Homepage | https://www.numpy.org |
Keywords | python |
Maintainer | Python Automaton |
License | Not yet specified |
Other variants | py39 |
Ravenports | Buildsheet | History |
Ravensource | Port Directory | History |
Last modified | 05 NOV 2021, 10:17:11 UTC |
Port created | 21 APR 2020, 22:22:44 UTC |
single | It provides: - a powerful N-dimensional array object - sophisticated (broadcasting) functions - tools for integrating C/C++ and Fortran code - useful linear algebra, Fourier transform, and random number capabilities - and much more Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases. All NumPy wheels distributed on PyPI are BSD licensed. |
Build (only) |
python-Cython:single:py38 python-setuptools:single:py38 autoselect-python:single:standard |
Build and Runtime |
lapack:blas:standard python38:single:standard |
main | mirror://PYPI/n/numpy |
python-pandas:py38 | Data structures for time series, statistics (PY38) |
python-pythran:py38 | Ahead of Time compiler for numeric kernels (PY38) |
python-scipy:py38 | Scientific library for Python (PY38) |