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SymPy

A Python library for symbolic mathematics.

http://sympy.org/

See the AUTHORS file for the list of authors.

And many more people helped on the SymPy mailing list, reported bugs, helped organize SymPy's participation in the Google Summer of Code, the Google Highly Open Participation Contest, Google Code-In, wrote and blogged about SymPy...

License: New BSD License (see the LICENSE file for details) covers all files in the sympy repository unless stated otherwise.

Our mailing list is at https://groups.google.com/forum/?fromgroups#!forum/sympy. We are also on IRC (#sympy on Freenode, note, this channel is logged). Feel free to ask us anything there. We have a very welcoming and helpful community.

Download

Get the latest version of SymPy from https://pypi.python.org/pypi/sympy/

To get the git version do

$ git clone git://github.com/sympy/sympy.git

For other options (tarballs, debs, etc.), see See http://docs.sympy.org/dev/install.html.

Documentation and usage

Everything is at:

http://docs.sympy.org/

You can generate everything at the above site in your local copy of SymPy by:

$ cd doc
$ make html

Then the docs will be in _build/html. If you don't want to read that, here is a short usage:

From this directory, start python and:

>>> from sympy import Symbol, cos
>>> x = Symbol('x')
>>> e = 1/cos(x)
>>> print e.series(x, 0, 10)
1 + (1/2)*x**2 + (5/24)*x**4 + (61/720)*x**6 + (277/8064)*x**8 + O(x**10)

SymPy also comes with a console that is a simple wrapper around the classic python console (or IPython when available) that loads the sympy namespace and executes some common commands for you.

To start it, issue:

$ bin/isympy

from this directory if SymPy is not installed or simply:

$ isympy

if SymPy is installed.

Installation

To install SymPy, simply run:

$ python setup.py install

If you install it system-wide, you may need to prefix the previous command with sudo:

$ sudo python setup.py install

See http://docs.sympy.org/dev/install.html for more information.

Tests

To execute all tests, run:

$./setup.py test

in the current directory.

For more fine-grained running of tests or doctest, use bin/test or respectively bin/doctest. The master branch is automatically tested by Travis CI, the results can be seen here:

image

To test pull requests, use sympy-bot.

Usage in Python 3

SymPy also supports Python 3. If you want to install the latest version in Python 3, get the Python 3 tarball from https://pypi.python.org/pypi/sympy/

To install the SymPy for Python 3, simply run the above commands with a Python 3 interpreter.

Clean

To clean everything (thus getting the same tree as in the repository):

$ ./setup.py clean

You can also clean things with git using:

$ git clean -Xdf

which will clear everything ignored by .gitignore, and:

$ git clean -df

to clear all untracked files. You can revert the most recent changes in git with:

$ git reset --hard

WARNING: The above commands will all clear changes you may have made, and you will lose them forever. Be sure to check things with git status, git diff, git clean -Xn and git clean -n before doing any of those.

Bugs

Our issue tracker is at https://code.google.com/p/sympy/issues/list. Please report any bugs that you find. Or, even better, fork the repository on GitHub and create a pull request. We welcome all changes, big or small, and we will help you make the pull request if you are new to git (just ask on our mailing list or IRC).

Brief History

SymPy was started by Ondřej Čertík in 2005, he wrote some code during the summer, then he wrote some more code during the summer 2006. In February 2007, Fabian Pedregosa joined the project and helped fixed many things, contributed documentation and made it alive again. 5 students (Mateusz Paprocki, Brian Jorgensen, Jason Gedge, Robert Schwarz and Chris Wu) improved SymPy incredibly during the summer 2007 as part of the Google Summer of Code. Pearu Peterson joined the development during the summer 2007 and he has made SymPy much more competitive by rewriting the core from scratch, that has made it from 10x to 100x faster. Jurjen N.E. Bos has contributed pretty printing and other patches. Fredrik Johansson has wrote mpmath and contributed a lot of patches.

SymPy has participated in every Google Summer of Code since 2007. You can see https://github.com/sympy/sympy/wiki#google-summer-of-code for full details. Each year has improved SymPy by bounds. Most of SymPy's development has come from Google Summer of Code students.

In 2011, Ondřej Čertík stepped down as lead developer, with Aaron Meurer, who also started as a Google Summer of Code student, taking his place. Ondřej Čertík is still active in the community, but is too busy with work and family to play a lead development role

Since then, a lot more people have joined the development and some people have also left. You can see the full list in doc/src/aboutus.rst, or online at:

http://docs.sympy.org/dev/aboutus.html#sympy-development-team

The git history goes back to 2007, when development moved from svn to hg. To see the history before that point, look at http://github.com/sympy/sympy-old.

You can use git to see the biggest developers. The command:

$ git shortlog -ns

will show each developer, sorted by commits to the project. The command:

$ git shortlog -ns --since="1 year"

will show the top developers from the last year.

Citation

To cite SymPy in publications use:

SymPy Development Team (2013). SymPy: Python library for symbolic mathematics
URL http://www.sympy.org.

A BibTeX entry for LaTeX users is:

@Manual{,
title = {SymPy: Python library for symbolic mathematics},
author = {{SymPy Development Team}},
year = {2013},
url = {http://www.sympy.org},
}

SymPy is BSD licensed, so you are free to use it whatever you like, be it academic, commercial, creating forks or derivatives, as long as you copy the BSD statement if you redistribute it (see the LICENSE file for details). That said, although not required by the SymPy license, if it is convenient for you, please cite SymPy when using it in your work and also consider contributing all your changes back, so that we can incorporate it and all of us will benefit in the end.

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A computer algebra system written in pure Python

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