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Latest commit 9ca2a40 May 24, 2016 @Eric89GXL Eric89GXL Merge pull request #6182 from endolith/MLS_docs
DOC: Add examples/graphs to max_len_seq
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benchmarks Merge pull request #6025 from nmayorov/bvp May 8, 2016
doc DOC: add release notes for 0.17.1 May 12, 2016
scipy Merge pull request #6182 from endolith/MLS_docs May 24, 2016
tools MAINT: refguide_check: skip tutorial checks if a specific module is g… Feb 18, 2016
.coveragerc MAINT: add .coveragerc file to limit content of .coverage file to scipy. Sep 21, 2013
.gitattributes MAINT: mark one more file autogenerated in .gitattributes Apr 24, 2016
.gitignore clean ups after rebase Apr 6, 2016
.gitmodules DOC: link to numpydoc via a git submodule Jul 24, 2013
.travis.yml CI: pin pyflakes to a recent version + update ignores Mar 1, 2016
BENTO_BUILD.txt BLD: some updates to Bento config files and docs. Closes gh-3978. Dec 3, 2014
HACKING.rst.txt Change some HTTP links to HTTPS Jan 4, 2016
INSTALL.rst.txt DOC: remove use of pip again (see discussion on gh-5830) and add unin… Feb 20, 2016
LICENSE.txt MAINT: update license text Jan 1, 2016 MAINT: don't bundle everything in benchmarks/* to installation Feb 14, 2015
README.rst DOC: README: INSTALL.txt was renamed in 2014 Feb 7, 2016
THANKS.txt BUG: special: fixed violation of strict aliasing rules. Apr 18, 2016 Change some HTTP links to HTTPS Jan 4, 2016
bscript BLD: some updates to Bento config files and docs. Closes gh-3978. Dec 3, 2014
codecov.yml MAINT: fix codecov config file name Apr 30, 2016 MAINT: drop python 3.3 from Jan 23, 2016 MAINT: ensure Ctrl-C interrupts the build Feb 16, 2016 MAINT: bump minimal required numpy version to 1.7.2 Jan 23, 2016 Revert "MAINT: remove setup*egg*.py -- always use setuptools, if pres… Mar 28, 2013
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



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!


For installation instructions, see INSTALL.rst.txt.


Scipy documentation is available on the web:

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

Web sites

The user's site is:

Mailing Lists

Please see the developer's list here:

Latest source code

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

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:

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.

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