Overview
- Teaches how to expand MATLAB's power using Python
- Learn Python rapidly with side-by-side MATLAB code examples
- Only guide that provides practical examples of calling Python code from MATLAB
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Table of contents (15 chapters)
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Front Matter
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Back Matter
Keywords
About this book
MATLAB can run Python code!
Python for MATLAB Development shows you how to enhance MATLAB with Python solutions to a vast array of computational problems in science, engineering, optimization, statistics, finance, and simulation. It is three books in one:
A thorough Python tutorial that leverages your existing MATLAB knowledge with a comprehensive collection of MATLAB/Python equivalent expressions
A reference guide to setting up and managing a Python environment that integrates cleanly with MATLAB
A collection of recipes that demonstrate Python solutions invoked directly from MATLAB
This book shows how to call Python functions to enhance MATLAB's capabilities. Specifically, you'll see how Python helps MATLAB:
- Run faster with numba
- Distribute work to a compute cluster with dask
- Find symbolic solutions to integrals, derivatives, and series summations with SymPy
- Overlay data on maps with Cartopy
- Solve mixed-integer linear programming problems with PuLP
- Interact with Redis via pyredis, PostgreSQL via psycopg2, and MongoDB via pymongo
- Read and write file formats that are not natively understood by MATLAB, such as SQLite, YAML, and ini
MATLAB developers who are new to Python and other developers with some prior experience with MATLAB, R, IDL, or Mathematica.
Authors and Affiliations
About the author
Al has used MATLAB since 1990 and Python since 2006 for algorithm prototyping, earth science data processing, spacecraft mission planning, optimization, visualization, and countless utilities that simplify daily engineering work.
Bibliographic Information
Book Title: Python for MATLAB Development
Book Subtitle: Extend MATLAB with 300,000+ Modules from the Python Package Index
Authors: Albert Danial
DOI: https://doi.org/10.1007/978-1-4842-7223-7
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Albert Danial 2022
Softcover ISBN: 978-1-4842-7222-0Published: 12 March 2022
eBook ISBN: 978-1-4842-7223-7Published: 11 March 2022
Edition Number: 1
Number of Pages: XXVIII, 700
Number of Illustrations: 5 b/w illustrations, 71 illustrations in colour
Topics: Python, Professional Computing, Simulation and Modeling, Computer Science, general