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About this product
Product Identifiers
PublisherApress L. P.
ISBN-101484272226
ISBN-139781484272220
eBay Product ID (ePID)20050386121
Product Key Features
Number of PagesXxviii, 700 Pages
Publication NamePython for MATLAB Development : Extending MATLAB by Accessing 300,000+ Modules in Python Package Index
LanguageEnglish
Publication Year2022
SubjectProgramming Languages / General, Computer Simulation, General, Programming Languages / Python
TypeTextbook
AuthorAlbert Danial
Subject AreaMathematics, Computers
FormatTrade Paperback
Dimensions
Item Weight48 Oz
Item Length10 in
Item Width7 in
Additional Product Features
Dewey Edition23
Number of Volumes1 vol.
IllustratedYes
Dewey Decimal620.00151
Table Of Content1 Introduction.- 2 Installation.- 3 Language Basics.- 4 Data Containers.- 5 Dates and Times.- 6 Call Python Functions from MATLAB.- 7 Input and Output.- 8 Interacting with the File System.- 9 Interacting with the Operating System and External Executables.- 10 Object Oriented Programming.- 11 NumPy and SciPy.- 12 Plotting.- 13 Tables and Dataframes.- 14 High Performance Computing.- 15 Language Pitfalls.- Appendix A MATLAB/Python Recipe Index.- Appendix B Generating Sample Data with Faker.- Appendix C Finite Element Source Listing.- Appendix D Python-to-MATLAB and MATLAB-to-Python Variable Converters.- Appendix E A Utility to Patch Cartopy to Use Requests.
SynopsisMATLAB 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 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.