| 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) |