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Python for MATLAB development = exte...

Danial, Albert.

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Python for MATLAB development = extend MATLAB with 300,000+ modules from the Python package index /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Python for MATLAB development/ by Albert Danial.
Reminder of title:	extend MATLAB with 300,000+ modules from the Python package index /
Author:	Danial, Albert.
Published:	Berkeley, CA :Apress : : 2022.,
Description:	xxviii, 700 p. :ill., digital ;24 cm.
[NT 15003449]:	1 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.
Contained By:	Springer Nature eBook
Subject:	Python (Computer program language) -
Online resource:	https://doi.org/10.1007/978-1-4842-7223-7
ISBN:	9781484272237

Python for MATLAB development = extend MATLAB with 300,000+ modules from the Python package index /
Danial, Albert.

Python for MATLAB developmentextend MATLAB with 300,000+ modules from the Python package index /[electronic resource] :by Albert Danial. - Berkeley, CA :Apress :2022. - xxviii, 700 p. :ill., digital ;24 cm.

1 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.

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.

ISBN: 9781484272237

Standard No.: 10.1007/978-1-4842-7223-7doiSubjects--Uniform Titles:

MATLAB.
Subjects--Topical Terms:

729789
Python (Computer program language)

LC Class. No.: QA76.73.P98 / D35 2022

Dewey Class. No.: 005.133

Python for MATLAB development = extend MATLAB with 300,000+ modules from the Python package index /
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505 0 $a 1 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.
520 $a 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.
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