Symbolic Computation with Python and SymPy - Volume 1: Expression Manipulation

by Davide Sandonà

SymPy is an open-source, lightweight and cross-platform Computer Algebra System written in Python that enables the manipulation of mathematical expressions in an analytical form. It can be used in a variety of disciplines in engineering and science to perform common analytical computations such as differentiation and integration, simplifying and manipulating expressions for greater insight, solving algebraic and differential equations, plotting, mathematical modeling and more.

Symbolic Computation with Python and SymPy takes you through SymPy's capabilities, with sample code and in-depth guided exercises. If you are just starting with SymPy, or want to go deeper, you will learn how to integrate this library into your workflow.This is Volume 1 - Expression manipulation, covering the basic

Use Jupyter Notebook for interactive computing.Create and inspect symbolic expressions.Gain hands-on experience in expression manipulation with guided exercises and many Cheat Sheets.Solve algebraic equations and inequalities.Use calculus functionalities.Explore SymPy architecture and use Object-Oriented Programming to extend its capabilities.Volume 1 - Expression manipulation covers the first half of the printed book.Source Code available at Github

702 pages, Kindle Edition

Published October 5, 2021