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CI: pin version to pypy3.6-v7.0
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.github MAINT: convert github instructions to hidden HTML comment (#9327) Oct 6, 2018
benchmarks add benchmark tests for parallel sosfilt/lfilter processing Feb 3, 2019
doc Drop 2nd Numba link Feb 15, 2019
scipy Merge pull request #9711 from mmohrhard/sosfilter-perf Feb 17, 2019
tools FIX: Sanitize Jan 18, 2019
.coveragerc MAINT: add .coveragerc file to limit content of .coverage file to scipy. Sep 21, 2013
.gitattributes MAINT: reduce the number of git conflicts in the release notes Feb 13, 2017
.gitignore MAINT: added _bglu_dense.c to .gitignore as suggested in #9263 Jan 23, 2019
.gitmodules MAINT: bundle Mathjax for built documentation May 4, 2017
.mailmap DOC: update 1.2.0 release notes [ci skip] Nov 9, 2018
.travis.yml ENH: Add test for encoding Dec 19, 2018
CONTRIBUTING.rst DOC: Replace Scipy with SciPy in the rst doc files for consistency. Nov 17, 2018
HACKING.rst.txt DOC: add dev setup description for PRs to local repo (#9674) Jan 18, 2019
INSTALL.rst.txt MAINT: some more cleanups for Python 2.7/3.4 removal. Dec 15, 2018
LICENSE.txt MAINT: some more cleanups for Python 2.7/3.4 removal. Dec 15, 2018 MAINT: include benchmarks and dev files in sdist. Sep 2, 2018
README.rst MAINT: add Azure badge Dec 14, 2018
THANKS.txt Mention first-time contribution in THANKS.txt Dec 26, 2018
appveyor.yml CI: update CI config files for dropping py27, py and numpy <1.13.3 Dec 15, 2018
azure-pipelines.yml TST: adjust to vmImage dispatch in Azure Feb 1, 2019
codecov.yml CI: upload coverage also on failure (#8408) Feb 11, 2018 Merge pull request #9582 from rgommers/drop-py27-py34 Dec 19, 2018
pytest.ini FIX: Add to ignore Sep 7, 2018 FIX: Fixes Jan 18, 2019 MAINT: drop Python 2.7 and 3.4 in and Dec 15, 2018
site.cfg.example DOC: Misc. typos Oct 23, 2018
tox.ini CI: update CI config files for dropping py27, py and numpy <1.13.3 Dec 15, 2018



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 installation instructions, see INSTALL.rst.txt.

Developer information

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

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.