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Venv/Lib/site-packages/numpy-1.18.1.dist-info/LICENSE.txt
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Venv/Lib/site-packages/numpy-1.18.1.dist-info/LICENSES_bundled.txt
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The NumPy repository and source distributions bundle several libraries that are | ||
compatibly licensed. We list these here. | ||
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Name: Numpydoc | ||
Files: doc/sphinxext/numpydoc/* | ||
License: 2-clause BSD | ||
For details, see doc/sphinxext/LICENSE.txt | ||
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Name: scipy-sphinx-theme | ||
Files: doc/scipy-sphinx-theme/* | ||
License: 3-clause BSD, PSF and Apache 2.0 | ||
For details, see doc/scipy-sphinx-theme/LICENSE.txt | ||
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Name: lapack-lite | ||
Files: numpy/linalg/lapack_lite/* | ||
License: 3-clause BSD | ||
For details, see numpy/linalg/lapack_lite/LICENSE.txt | ||
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Name: tempita | ||
Files: tools/npy_tempita/* | ||
License: BSD derived | ||
For details, see tools/npy_tempita/license.txt | ||
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Name: dragon4 | ||
Files: numpy/core/src/multiarray/dragon4.c | ||
License: MIT | ||
For license text, see numpy/core/src/multiarray/dragon4.c |
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Metadata-Version: 2.1 | ||
Name: numpy | ||
Version: 1.18.1 | ||
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://docs.scipy.org/doc/numpy/ | ||
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 :: 3.5 | ||
Classifier: Programming Language :: Python :: 3.6 | ||
Classifier: Programming Language :: Python :: 3.7 | ||
Classifier: Programming Language :: Python :: 3.8 | ||
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: >=3.5 | ||
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It provides: | ||
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- 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 | ||
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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. | ||
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All NumPy wheels distributed on PyPI are BSD licensed. | ||
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Wheel-Version: 1.0 | ||
Generator: bdist_wheel (0.33.6) | ||
Root-Is-Purelib: false | ||
Tag: cp36-cp36m-win_amd64 | ||
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Venv/Lib/site-packages/numpy-1.18.1.dist-info/entry_points.txt
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[console_scripts] | ||
f2py = numpy.f2py.f2py2e:main | ||
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