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Latest commit 08d7259 @rgommers rgommers Merge pull request #5550 from ev-br/lstsq_noise
MAINT: work around lstsq driver selection issue
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benchmarks BENCH: make lstsq benchmark use smaller matrices
doc ENH: add Py3.5-style matmul operator (e.g. A @ B) to sparse matrices …
scipy Merge pull request #5550 from ev-br/lstsq_noise
tools Merge pull request #5496 from ev-br/sync_author_list
.coveragerc MAINT: add .coveragerc file to limit content of .coverage file to scipy.
.gitattributes MAINT: drop Cython from .gitattributes (no longer in repo)
.gitignore ENH: Initial version of lsq_linear
.gitmodules DOC: link to numpydoc via a git submodule
.travis.yml TST: install via a wheel build on one TravisCI test run.
BENTO_BUILD.txt BLD: some updates to Bento config files and docs. Closes gh-3978.
HACKING.rst.txt DOC: remove outdated info from HACKING.txt
INSTALL.rst.txt DOC: fix Numpy version requirement in INSTALL.rst.txt
LICENSE.txt Fix PEP8 W391 issues (blank line at end of file). MAINT: don't bundle everything in benchmarks/* to installation
README.rst Fix PEP8 W391 issues (blank line at end of file).
THANKS.txt ENH: return Jacobian/Hessian from BasinHopping MAINT: change download URL from SourceForge to Github Releases.
bscript BLD: some updates to Bento config files and docs. Closes gh-3978. MAINT: fix sdist permissions and building-from-tarball in MAINT: Expose parallel build option to BLD: always put numpy in install_requires for wheels on OS X. Closes g… Revert "MAINT: remove setup*egg*.py -- always use setuptools, if pres…
site.cfg.example DOC: update site.cfg.example. Mostly taken over from Numpy
tox.ini BLD: ignore pep8 E302 (expected 2 blank lines, found 1)



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.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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