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Symbolic Computation with Python using SymPy

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Symbolic Computation with Python using SymPy
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43
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CC Attribution 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Release Date2017
LanguageEnglish
Production PlaceErlangen, Germany

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Abstract
What is SymPy? SymPy is a pure Python library for symbolic mathematics. It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python. What will you learn in it? Want to solve your basic to advanced class symbolic mathematical problems? If yes, then you have come to the right place. - How to install and configure this Python module? - Basics of constructing and manipulating mathematical expressions in SymPy. - We will also discuss the most common issues and differences from other computer algebra systems, and how to deal with them. In the remaining part of this tutorial we will show how to solve mathematical problems with SymPy.