Python for MATLAB Development: Extending MATLAB by Accessing 300,000+ Modules in 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, 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.

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).