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Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
book

Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

by Robert Johansson
December 2018
Intermediate to advanced
709 pages
18h 56m
English
Apress
Content preview from Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
© Robert Johansson 2019
Robert JohanssonNumerical Python https://doi.org/10.1007/978-1-4842-4246-9_3

3. Symbolic Computing

Robert Johansson1 
(1)
Urayasu-shi, Chiba, Japan
 

Symbolic computing is an entirely different paradigm in computing compared to the numerical array-based computing introduced in the previous chapter. In symbolic computing software, also known as computer algebra systems (CASs), representations of mathematical objects and expressions are manipulated and transformed analytically. Symbolic computing is mainly about using computers to automate analytical computations that can in principle be done by hand with pen and paper. However, by automating the book-keeping and the manipulations of mathematical expressions using a computer algebra ...

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