Python for MATLAB Development: Extend MATLAB with 300,000+ Modules from the Python Package Index

MATLAB can run Python code, and Python for MATLAB Development is a book that shows how to enhance MATLAB with Python solutions to a variety of computational problems. It provides a thorough Python tutorial, a reference guide to setting up and managing a Python environment, and a collection of recipes that demonstrate Python solutions invoked directly from MATLAB.

Format: Paperback / softback
Length: 700 pages
Publication date: 12 March 2022
Publisher: APress

Python for MATLAB Development is a comprehensive guide that empowers MATLAB users to leverage the power of Python for solving a wide range of computational challenges in diverse fields such as science, engineering, optimization, statistics, finance, and simulation. This book serves as a trifecta, offering three valuable resources in one:

A thorough Python tutorial that seamlessly integrates existing MATLAB knowledge with a comprehensive collection of MATLAB/Python equivalent expressions, enabling users to transition seamlessly between the two languages.

A comprehensive reference guide that provides step-by-step instructions for setting up and managing a Python environment that seamlessly integrates with MATLAB, enabling efficient data exchange, visualization, and analysis.

A collection of recipes that showcase Python solutions seamlessly invoked from MATLAB, demonstrating how Python can enhance MATLAB's capabilities and facilitate faster, more efficient, and more versatile computations.

In this book, readers will explore how Python can be called to enhance MATLAB's functionalities. Specifically, they will delve into the following areas:

Enhanced Performance: Learn how Python's numba library can optimize MATLAB code, resulting in faster execution times and improved performance.

Distributed Computing: Utilize Python's dask library to distribute MATLAB computations across a compute cluster, enabling parallel processing and efficient utilization of computational resources.

Symbolic Computation: Leverage Python's SymPy library to find symbolic solutions to complex integrals, derivatives, and series summations, providing a powerful tool for mathematical analysis and optimization.

Data Visualization: Utilize Python's Cartopy library to overlay data on maps, enabling visual exploration and analysis of spatial data.

Mixed-Integer Linear Programming: Solve complex mixed-integer linear programming problems with Python's PuLP library, offering a flexible and efficient approach to optimization.

Interactive Data Access: Interact with popular databases such as Redis, PostgreSQL, and MongoDB using Python's pyredis, psycopg2, and pymongo libraries, enabling seamless data retrieval, manipulation, and storage.

Reading and Writing Non-Native File Formats: Read and write file formats that MATLAB may not natively understand, such as SQLite, YAML, and INI, using Python's built-in libraries and third-party packages.

Who This Book Is For
Python for MATLAB Development is designed for MATLAB developers who are new to Python and other developers with prior experience in MATLAB, R, IDL, or Mathematica. Whether you are a scientist, engineer, data analyst, or financial professional seeking to expand your computational capabilities, this book will provide you with the knowledge and tools to leverage Python effectively within the MATLAB environment.

By combining the strengths of MATLAB and Python, users can unlock a world of possibilities and enhance their productivity, efficiency, and accuracy in solving complex computational problems. With Python for MATLAB Development as your guide, you will be well-equipped to take your MATLAB skills to the next level and unlock the full potential of Python for scientific, engineering, and data-driven applications.

Weight: 1362g
Dimension: 254 x 178 (mm)
ISBN-13: 9781484272220
Edition number: 1st ed.