Spaces:
Running
Running
| Metadata-Version: 2.1 | |
| Name: numpy | |
| Version: 1.21.2 | |
| Summary: NumPy is the fundamental package for array computing with Python. | |
| Home-page: https://www.numpy.org | |
| Author: Travis E. Oliphant et al. | |
| Maintainer: NumPy Developers | |
| Maintainer-email: [email protected] | |
| License: BSD | |
| Download-URL: https://pypi.python.org/pypi/numpy | |
| Project-URL: Bug Tracker, https://github.com/numpy/numpy/issues | |
| Project-URL: Documentation, https://numpy.org/doc/1.21 | |
| Project-URL: Source Code, https://github.com/numpy/numpy | |
| Platform: Windows | |
| Platform: Linux | |
| Platform: Solaris | |
| Platform: Mac OS-X | |
| Platform: Unix | |
| Classifier: Development Status :: 5 - Production/Stable | |
| Classifier: Intended Audience :: Science/Research | |
| Classifier: Intended Audience :: Developers | |
| Classifier: License :: OSI Approved :: BSD License | |
| Classifier: Programming Language :: C | |
| Classifier: Programming Language :: Python | |
| Classifier: Programming Language :: Python :: 3 | |
| Classifier: Programming Language :: Python :: 3.7 | |
| Classifier: Programming Language :: Python :: 3.8 | |
| Classifier: Programming Language :: Python :: 3.9 | |
| Classifier: Programming Language :: Python :: 3.10 | |
| Classifier: Programming Language :: Python :: 3 :: Only | |
| Classifier: Programming Language :: Python :: Implementation :: CPython | |
| Classifier: Topic :: Software Development | |
| Classifier: Topic :: Scientific/Engineering | |
| Classifier: Typing :: Typed | |
| Classifier: Operating System :: Microsoft :: Windows | |
| Classifier: Operating System :: POSIX | |
| Classifier: Operating System :: Unix | |
| Classifier: Operating System :: MacOS | |
| Requires-Python: >=3.7,<3.11 | |
| 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. | |