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SymPy ===== A Python library for symbolic mathematics. http://code.google.com/p/sympy/ All people who contributed to SymPy by sending at least a patch or more (in the order of the date of their first contribution): Ondrej Certik <firstname.lastname@example.org> Fabian Seoane <email@example.com> Jurjen N.E. Bos <firstname.lastname@example.org> Mateusz Paprocki <email@example.com> Marc-Etienne M.Leveille <firstname.lastname@example.org> Brian Jorgensen <email@example.com> Jason Gedge <firstname.lastname@example.org> Robert Schwarz <email@example.com> Pearu Peterson <firstname.lastname@example.org> Fredrik Johansson <email@example.com> Chris Wu <firstname.lastname@example.org> Kirill Smelkov <email@example.com> Ulrich Hecht <firstname.lastname@example.org> Goutham Lakshminarayan <email@example.com> David Lawrence <firstname.lastname@example.org> Jaroslaw Tworek <email@example.com> And many more people helped on the SymPy mailinglist, reported bugs, helped organize SymPy's participation in the Google Summer of Code, the Google Highly Open Participation Contest, 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. 0. Download ----------- $ hg clone http://hg.sympy.org/sympy/ For other options (tarballs, debs, etc.), see the web page of SymPy. 1. Documentation and usage -------------------------- Everything is at: http://code.google.com/p/sympy/wiki/Documentation 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,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 somewhere in your PATH. 3. Tests -------- to execute tests, run ./setup.py test in the current directory. You need to have py.test installed. 4. How to install py.test ------------------------- If you use Debian, just install the python-codespeak-lib. Otherwise: Execute in your home directory: svn co http://codespeak.net/svn/py/dist py-dist This will create a "py-dist" directory in you home dir. Add this line to your .bashrc: eval `python ~/py-dist/py/env.py` Now you can call "py.test" from anywhere. 5. Clean -------- To clean everything (thus getting the same tree as in the svn): ./setup.py clean 6. Brief History ---------------- SymPy was started by Ondrej Certik in 2005, he wrote some code during the summer, then he wrote some more code during the summer 2006. In February 2007, Fabian Seoane 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. Kirill Smelkov has joined the development in autumn 2007 and has improved the overall quality of SymPy a lot and is currently one of the most active developers.