51 lines
2 KiB
Text
51 lines
2 KiB
Text
Metadata-Version: 2.1
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Name: scipy
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Version: 1.5.2
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Summary: SciPy: Scientific Library for Python
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Home-page: https://www.scipy.org
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Maintainer: SciPy Developers
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Maintainer-email: scipy-dev@python.org
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License: BSD
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Download-URL: https://github.com/scipy/scipy/releases
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Project-URL: Bug Tracker, https://github.com/scipy/scipy/issues
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Project-URL: Documentation, https://docs.scipy.org/doc/scipy/reference/
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Project-URL: Source Code, https://github.com/scipy/scipy
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Platform: Windows
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Platform: Linux
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Platform: Solaris
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Platform: Mac OS-X
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Platform: Unix
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Classifier: Development Status :: 5 - Production/Stable
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Classifier: Intended Audience :: Science/Research
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Classifier: Intended Audience :: Developers
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Classifier: License :: OSI Approved :: BSD License
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Classifier: Programming Language :: C
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Classifier: Programming Language :: Python
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3.6
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Classifier: Programming Language :: Python :: 3.7
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Classifier: Programming Language :: Python :: 3.8
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Classifier: Topic :: Software Development
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Classifier: Topic :: Scientific/Engineering
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Classifier: Operating System :: Microsoft :: Windows
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Classifier: Operating System :: POSIX
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Classifier: Operating System :: Unix
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Classifier: Operating System :: MacOS
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Requires-Python: >=3.6
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Requires-Dist: numpy (>=1.14.5)
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SciPy (pronounced "Sigh Pie") is open-source software for mathematics,
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science, and engineering. The SciPy library
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depends on NumPy, which provides convenient and fast N-dimensional
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array manipulation. The SciPy library is built to work with NumPy
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arrays, and provides many user-friendly and efficient numerical
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routines such as routines for numerical integration and optimization.
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Together, they run on all popular operating systems, are quick to
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install, and are free of charge. NumPy and SciPy are easy to use,
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but powerful enough to be depended upon by some of the world's
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leading scientists and engineers. If you need to manipulate
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numbers on a computer and display or publish the results,
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give SciPy a try!
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