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DOC: add next_fast_len to list of functions
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.coveragerc MAINT: add .coveragerc file to limit content of .coverage file to scipy. Sep 21, 2013
.gitattributes MAINT: mark cython_special files as binary in .gitattributes Jun 19, 2016
.gitignore TST: ndimage: add tests for accessing the c api from cython Jul 30, 2016
.gitmodules DOC: link to numpydoc via a git submodule Jul 24, 2013
.mailmap MAINT: replace author name map in tools/authors.py with git .mailmap Aug 19, 2016
.travis.yml MAINT: Fix gmpy build & test that mpmath uses gmpy Jul 28, 2016
BENTO_BUILD.txt BLD: some updates to Bento config files and docs. Closes gh-3978. Dec 3, 2014
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INSTALL.rst.txt MAINT: changes related to building with setuptools. Jun 16, 2016
LICENSE.txt MAINT: update license text Jan 2, 2016
MANIFEST.in MAINT: changes related to building with setuptools. Jun 16, 2016
README.rst DOC: README: INSTALL.txt was renamed in 2014 Feb 7, 2016
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circle.yml ENH: Add circle May 27, 2016
codecov.yml MAINT: fix codecov config file name Apr 30, 2016
pavement.py MAINT: bump version number in setup.py & pavement.py Jun 20, 2016
runtests.py MAINT: update runtests.py for annoying easy_install behavior. Jun 16, 2016
setup.py MAINT: bump version number in setup.py & pavement.py Jun 20, 2016
site.cfg.example DOC: update site.cfg.example. Mostly taken over from Numpy May 9, 2015
tox.ini CI: upgrade to pep8==1.7.0 Feb 18, 2016

README.rst

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

SciPy

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

Please see the developer's list here:

http://projects.scipy.org/mailman/listinfo/scipy-dev

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 HACKING.rst.txt.

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.