In
this section, we introduce some basic functionality of the SymPy (short from
Symbolic Python) library. In contrast to numerical computation, in symbolic
calculation we are processing and transforming generic variables.
The
SymPy home page is http://sympy.org/, and provides the full (and up-to-date)
documentation
for
this library.
Symbolic
calculation is very slow compared to oating point operation, and thus generally
not for direct simulation. However, it is a powerful tool to support the
preparation of code and symbolic work. Occasionally, we use symbolic operations
in simulations to work out the most effcient numerical code, before that is
executed.
If
you’ve installed the Python (x,y) distribution you probably already have the
Sympy but if not type in the following command in CMD if you’re working on the
Windows operating system or Terminal if your using Linux operation system.
pip install sympy
If your using Anaconda distribution all you need to do
is type in the CMD or Terminal is the following command.
conda install sympy
After installing is done open Python or Spyder which
is GUI of Python and type in
import sympy
If the sympy is installed correctly then you shouldn’t
get any error.
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