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

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.

What You Will Learn

• 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

Who This Book Is For

MATLAB developers who are new to Python and other developers with some prior experience with MATLAB, R, IDL, or Mathematica.

Albert Danial is an aerospace engineer with 35 years of experience, currently working for Northrop Grumman near Los Angeles. He has been using MATLAB since 1990 and Python since 2006. MATLAB brings endless challenges to his coworkers and himself --insufficient licenses, no licenses for toolboxes our subcontractors use, difficulty integrating MATLAB tools with other parts of our analytical infrastructure. Python eases many of our MATLAB-related headaches (not so much via MATLAB-Python integration, but rather wholesale replacement of MATLAB code with Python equivalents).