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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
September 2024
Intermediate to advanced content levelIntermediate to advanced
501 pages
17h 6m
English
Apress
Content preview from Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2024
R. JohanssonNumerical Pythonhttps://doi.org/10.1007/979-8-8688-0413-7_3

3. Symbolic Computing

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

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

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