Metadata-Version: 2.1 Name: numpy Version: 1.23.5 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/1.23 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 :: 3.8 Classifier: Programming Language :: Python :: 3.9 Classifier: Programming Language :: Python :: 3.10 Classifier: Programming Language :: Python :: 3.11 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: >=3.8 License-File: LICENSE.txt License-File: LICENSES_bundled.txt 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. NumPy requires ``pytest`` and ``hypothesis``. Tests can then be run after installation with:: python -c 'import numpy; numpy.test()'