September 2014
Intermediate to advanced
512 pages
12h 39m
English
In this recipe, we will give a brief introduction to symbolic computing with SymPy. We will see more advanced features of SymPy in the next recipes.
SymPy is a pure Python package with no other dependencies, and as such, it is very easy to install. With Anaconda, you can type conda install sympy in a terminal. On Windows, you can use Chris Gohlke's package (www.lfd.uci.edu/~gohlke/pythonlibs/#sympy). Finally, you can use the pip install sympy command.
SymPy can be used from a Python module, or interactively in IPython. In the notebook, all mathematical expressions are displayed with LaTeX, thanks to the MathJax JavaScript library.
Here is an introduction to SymPy:
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