Python for MATLAB Development
Extend MATLAB with 300,000+ Modules from the Python Package Index
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Beschreibung
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, artificial intelligence, 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
The demonstrated techniques and explanations will help you solve your own challenging problems in MATLAB using open source Python modules. Python is the ultimate MATLAB Toolbox and this book is your guide to its use.
You will:
- 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
- Accelerate computationally-intensive tasks with numba
Run large computations in parallel with dask
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 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.
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
Autor*in
Albert Danial
Themen in »Python for MATLAB Development«
Python MATLAB math computational matheworks SciPy NumPy data science analytics numerical algorithms plot visualization source code