Python for MATLAB Development (eBook)
XXVIII, 700 Seiten
Apress (Verlag)
978-1-4842-7223-7 (ISBN)
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.
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.
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 expressionsA reference guide to setting up and managing a Python environment that integrates cleanly with MATLABA 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 numbaDistribute work to a compute cluster with daskFind symbolic solutions to integrals, derivatives, and series summations with SymPyOverlay data on maps with CartopySolve mixed-integer linear programming problems with PuLPInteract with Redis via pyredis, PostgreSQL via psycopg2, and MongoDB via pymongoRead and write file formats that are not natively understood by MATLAB, such as SQLite, YAML, and iniWho This Book Is ForMATLAB developers who are new to Python and other developers with some prior experience with MATLAB, R, IDL, or Mathematica.
Erscheint lt. Verlag | 11.3.2022 |
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Zusatzinfo | XXVIII, 700 p. 76 illus., 71 illus. in color. |
Sprache | englisch |
Themenwelt | Informatik ► Programmiersprachen / -werkzeuge ► Python |
Mathematik / Informatik ► Informatik ► Theorie / Studium | |
Schlagworte | algorithms • Analytics • Computational • Data Science • Math • matheworks • MATLAB • Numerical • NumPy • Plot • Python • SciPy • source code • Visualization |
ISBN-10 | 1-4842-7223-4 / 1484272234 |
ISBN-13 | 978-1-4842-7223-7 / 9781484272237 |
Haben Sie eine Frage zum Produkt? |
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