Metadata-Version: 2.1 Name: scipy Version: 1.9.3 Summary: Fundamental algorithms for scientific computing in Python Home-page: https://scipy.org/ Maintainer-Email: SciPy Developers License: Copyright (c) 2001-2002 Enthought, Inc. 2003-2022, SciPy Developers. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. 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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: Topic :: Software Development :: Libraries Classifier: Topic :: Scientific/Engineering Classifier: Operating System :: Microsoft :: Windows Classifier: Operating System :: POSIX :: Linux Classifier: Operating System :: POSIX Classifier: Operating System :: Unix Classifier: Operating System :: MacOS Project-URL: Homepage, https://scipy.org/ Project-URL: Documentation, https://docs.scipy.org/doc/scipy/ Project-URL: Source, https://github.com/scipy/scipy Project-URL: Download, https://github.com/scipy/scipy/releases Project-URL: Tracker, https://github.com/scipy/scipy/issues Requires-Python: >=3.8 Requires-Dist: numpy<1.26.0,>=1.18.5 Requires-Dist: pytest; extra == "test" Requires-Dist: pytest-cov; extra == "test" Requires-Dist: pytest-xdist; extra == "test" Requires-Dist: asv; extra == "test" Requires-Dist: mpmath; extra == "test" Requires-Dist: gmpy2; extra == "test" Requires-Dist: threadpoolctl; extra == "test" Requires-Dist: scikit-umfpack; extra == "test" Requires-Dist: sphinx!=4.1.0; extra == "doc" Requires-Dist: pydata-sphinx-theme==0.9.0; extra == "doc" Requires-Dist: sphinx-panels>=0.5.2; extra == "doc" Requires-Dist: matplotlib>2; extra == "doc" Requires-Dist: numpydoc; extra == "doc" Requires-Dist: sphinx-tabs; extra == "doc" Requires-Dist: mypy; extra == "dev" Requires-Dist: typing_extensions; extra == "dev" Requires-Dist: pycodestyle; extra == "dev" Requires-Dist: flake8; extra == "dev" Provides-Extra: test Provides-Extra: doc Provides-Extra: dev Description-Content-Type: text/x-rst .. image:: https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A :target: https://numfocus.org .. image:: https://img.shields.io/pypi/dm/scipy.svg?label=Pypi%20downloads :target: https://pypi.org/project/scipy/ .. image:: https://img.shields.io/conda/dn/conda-forge/scipy.svg?label=Conda%20downloads :target: https://anaconda.org/conda-forge/scipy .. image:: https://img.shields.io/badge/stackoverflow-Ask%20questions-blue.svg :target: https://stackoverflow.com/questions/tagged/scipy .. image:: https://img.shields.io/badge/DOI-10.1038%2Fs41592--019--0686--2-blue :target: https://www.nature.com/articles/s41592-019-0686-2 SciPy (pronounced "Sigh Pie") is an open-source software for mathematics, science, and engineering. It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more. - **Website:** https://scipy.org - **Documentation:** https://docs.scipy.org/ - **Mailing list:** https://mail.python.org/mailman3/lists/scipy-dev.python.org/ - **Source code:** https://github.com/scipy/scipy - **Contributing:** https://scipy.github.io/devdocs/dev/index.html - **Bug reports:** https://github.com/scipy/scipy/issues - **Code of Conduct:** https://scipy.github.io/devdocs/dev/conduct/code_of_conduct.html - **Report a security vulnerability:** https://tidelift.com/docs/security - **Citing in your work:** https://www.scipy.org/citing-scipy/ SciPy is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines, such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers. If you need to manipulate numbers on a computer and display or publish the results, give SciPy a try! For the installation instructions, see `our install guide `__. Call for Contributions ---------------------- We appreciate and welcome contributions. Small improvements or fixes are always appreciated; issues labeled as "good first issue" may be a good starting point. Have a look at `our contributing guide `__. Writing code isn’t the only way to contribute to SciPy. You can also: - review pull requests - triage issues - develop tutorials, presentations, and other educational materials - maintain and improve `our website `__ - develop graphic design for our brand assets and promotional materials - help with outreach and onboard new contributors - write grant proposals and help with other fundraising efforts If you’re unsure where to start or how your skills fit in, reach out! You can ask on the mailing list or here, on GitHub, by leaving a comment on a relevant issue that is already open. If you are new to contributing to open source, `this guide `__ helps explain why, what, and how to get involved.