.. image:: https://travis-ci.org/scipy/scipy.png?branch=master
   :target: https://travis-ci.org/scipy/scipy/

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SciPy
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.. contents::

What is 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.  It is also the name of a very popular conference on
scientific programming with Python.

The SciPy library depends on NumPy, which provides convenient and fast
N-dimensional array manipulation. The SciPy library 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!


Installation
------------

For installation instructions, see ``INSTALL.rst.txt``.


Documentation
-------------

Scipy documentation is available on the web:

    https://docs.scipy.org

How to generate the HTML documentation, see ``doc/README.txt``.


Web sites
---------

The user's site is:

    https://www.scipy.org/


Mailing Lists
-------------

The addresses and archives for the developer and user mailing lists can be
found here:

    http://scipy.org/scipylib/mailing-lists.html


Latest source code
------------------

The latest development version of Scipy's sources are always available at:

    https://github.com/scipy/scipy

They can be downloaded as a zip file or using the Git client.


Bug reports
-----------

To search for bugs or report them, please use the Scipy Bug Tracker at:

    https://github.com/scipy/scipy/issues


Developer information
---------------------

If you would like to take part in SciPy development, take a look
at the file ``CONTRIBUTING``.


License information
-------------------

See the file ``LICENSE.txt`` for information on the history of this
software, terms & conditions for usage, and a DISCLAIMER OF ALL
WARRANTIES.
