scipy (1.9.1)

Published 2022-08-27 21:44:14 +02:00 by guillem

Installation

pip install --index-url  scipy

About this package

Fundamental algorithms for scientific computing in Python

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.. image:: https://img.shields.io/conda/dn/conda-forge/scipy.svg?label=Conda%20downloads :target: https://anaconda.org/conda-forge/scipy

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.. 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.

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 <https://scipy.github.io/devdocs/getting_started.html#installation>__.

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 <http://scipy.github.io/devdocs/dev/hacking.html>__.

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 <https://github.com/scipy/scipy.org>__
  • 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 <https://opensource.guide/how-to-contribute/>__ helps explain why, what, and how to get involved.

Requirements

Requires Python: >=3.8
Details
PyPI
2022-08-27 21:44:14 +02:00
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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. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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1.9.1 2022-08-27