| 1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556 |
- Metadata-Version: 2.1
- Name: numpy
- Version: 1.19.4
- 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: numpy-discussion@python.org
- 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/1.19
- 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
- Classifier: Programming Language :: C
- Classifier: Programming Language :: Python
- Classifier: Programming Language :: Python :: 3
- Classifier: Programming Language :: Python :: 3.6
- Classifier: Programming Language :: Python :: 3.7
- Classifier: Programming Language :: Python :: 3.8
- Classifier: Programming Language :: Python :: 3.9
- Classifier: Programming Language :: Python :: 3 :: Only
- Classifier: Programming Language :: Python :: Implementation :: CPython
- Classifier: Topic :: Software Development
- Classifier: Topic :: Scientific/Engineering
- Classifier: Operating System :: Microsoft :: Windows
- Classifier: Operating System :: POSIX
- Classifier: Operating System :: Unix
- Classifier: Operating System :: MacOS
- Requires-Python: >=3.6
- 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.
|
