© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022
A. DanialPython for MATLAB Developmenthttps://doi.org/10.1007/978-1-4842-7223-7_1

1. Introduction

Albert Danial1  
(1)
Redondo Beach, CA, USA
 

MATLAB is amazing—but you already know this. With a few lines of code, you can load data, manipulate it countless ways, view it, and extract its deeper meaning. MATLAB is also a terrific sandbox for prototyping algorithms and exploring numerical experiments, for simulating phenomena, for churning through test results, and for generating reports.

Additionally, MATLAB’s documentation and tutorials—either built-in, hosted at The MathWorks’ website, or available on YouTube—are thorough and high quality.

The underdocumented ...

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