Github url

scipy

by scipy

scipy /scipy

Scipy library main repository

7.3K Stars 3.3K Forks Last release: 5 days ago (v1.5.1) BSD 3-Clause "New" or "Revised" License 23.9K Commits 119 Releases

Available items

No Items, yet!

The developer of this repository has not created any items for sale yet. Need a bug fixed? Help with integration? A different license? Create a request here:

SciPy

.. image:: https://img.shields.io/travis/scipy/scipy/master.svg?label=Travis%20CI :target: https://travis-ci.org/scipy/scipy/

.. image:: https://img.shields.io/appveyor/ci/scipy/scipy/master.svg?label=AppVeyor :target: https://ci.appveyor.com/project/scipy/scipy

.. image:: https://img.shields.io/circleci/project/github/scipy/scipy/master.svg?label=CircleCI :target: https://circleci.com/gh/scipy/scipy

.. image:: https://dev.azure.com/scipy-org/SciPy/_apis/build/status/scipy.scipy?branchName=master :target: https://dev.azure.com/scipy-org/SciPy/_build/latest?definitionId=1?branchName=master

.. image:: https://github.com/scipy/scipy/workflows/macOS%20tests/badge.svg?branch=master :target: https://github.com/scipy/scipy/actions?query=workflow%3A%22macOS+tests%22

.. 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

SciPy (pronounced "Sigh Pie") is 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 depends on NumPy, which provides convenient and fast N-dimensional array manipulation. 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 INSTALL.rst.txt_.

We appreciate and welcome contributions. If you would like to take part in SciPy development, take a look at the file CONTRIBUTING.rst_.

.. _CONTRIBUTING.rst: https://github.com/scipy/scipy/blob/master/CONTRIBUTING.rst .. _INSTALL.rst.txt: https://github.com/scipy/scipy/blob/master/INSTALL.rst.txt

We use cookies. If you continue to browse the site, you agree to the use of cookies. For more information on our use of cookies please see our Privacy Policy.