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Symbolic Computing with SymPy, SciPy2013 Tutorial, Part 6 of 6
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Ondrej Certik, Mateusz Paprocki, Aaron Meurer
Description
SymPy is a library for symbolic mathematics (i.e., a computer algebra
system) in Python. In this tutorial, we will introduce SymPy from
scratch. We will show the basics of SymPy, such as how to define
expressions, manipulate them, common gotchas, how to simplify them,
and calculus operations. We will then show some advanced examples of
how SymPy can be used to solve real-life problems in physics.
Required Packages
Python 2.x or 3.x, SymPy (most recent version) Optional packages: IPython, matplotlib, NetworkX, GMPY, numpy, scipy
Documentation
Description
SymPy is a library for symbolic mathematics (i.e., a computer algebra
system) in Python. In this tutorial, we will introduce SymPy from
scratch. We will show the basics of SymPy, such as how to define
expressions, manipulate them, common gotchas, how to simplify them,
and calculus operations. We will then show some advanced examples of
how SymPy can be used to solve real-life problems in physics.
Required Packages
Python 2.x or 3.x, SymPy (most recent version) Optional packages: IPython, matplotlib, NetworkX, GMPY, numpy, scipy
Documentation
Symbolic Computing with SymPy, SciPy2013 Tutorial, Part 1 of 6
Symbolic Computing with SymPy, SciPy2013 Tutorial, Part 6 of 6
Symbolic Computing with SymPy, SciPy2013 Tutorial, Part 3 of 6
Symbolic Computing with SymPy, SciPy2013 Tutorial, Part 2 of 6
Symbolic Computing with SymPy, SciPy2013 Tutorial, Part 5 of 6
Symbolic Computing with SymPy, SciPy2013 Tutorial, Part 4 of 6
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