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Book Title
Python for Matlab Development : Extend Matlab With 300,000+ Modul
ISBN
9781484272220
Subject Area
Computers, Mathematics
Publication Name
Python for MATLAB Development : Extending MATLAB by Accessing 300,000+ Modules in Python Package Index
Item Length
10 in
Publisher
Apress L. P.
Subject
Computer Simulation, General, Programming Languages / Python
Publication Year
2022
Type
Textbook
Format
Trade Paperback
Language
English
Author
Albert Danial
Item Width
7 in
Item Weight
48 Oz
Number of Pages
Xxviii, 700 Pages

關於產品

Product Information

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 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.

Product Identifiers

Publisher
Apress L. P.
ISBN-10
1484272226
ISBN-13
9781484272220
eBay Product ID (ePID)
20050386121

Product Key Features

Author
Albert Danial
Publication Name
Python for MATLAB Development : Extending MATLAB by Accessing 300,000+ Modules in Python Package Index
Format
Trade Paperback
Language
English
Subject
Computer Simulation, General, Programming Languages / Python
Publication Year
2022
Type
Textbook
Subject Area
Computers, Mathematics
Number of Pages
Xxviii, 700 Pages

Dimensions

Item Length
10 in
Item Width
7 in
Item Weight
48 Oz

Additional Product Features

Number of Volumes
1 Vol.
Lc Classification Number
Qa76.73.P98
Table of Content
Chapter 1: Introduction Goal: Describe the book''s goals, what to expect, what benefit to gain. * Learn Python through MATLAB Equivalents * Is Python really free? * What About Toolboxes? * I already know Python. How do I call Python functions in MATLAB? * What you won''t find in this book * Beyond MATLAB Part I - Learning Python through MATLAB comparisons Chapter 2: Installation Goal: Create a working Python installation on the computer with MATLAB * Downloads * Post-Install Checkout * ipython, IDE''s * Python and MATLAB Versions Used in This Book Chapter 3: Language Basics Goal: Learn the basic mechanics of Python * Assignment * Printing * Indentation * Indexing * 'for' Loops * 'while' Loops * 'if' Statements * Functions * Comments * Line Continuation * Exceptions * Modules and Packages Chapter 4: Data Containers Goal: Learn about lists, dictionaries, etc, and how these compare to MATLAB matrices and cell arrays * NumPy Arrays * Strings * Python Lists and MATLAB Cell Arrays * Python Tuples * Python Sets and MATLAB Set Operations * Python Dictionaries and MATLAB Maps * Structured Data * Tables * Caveat: '''=''''' copies a reference for non-scalars! Chapter 5: Date and Time Goal: Learn about measuring, storing, and converting temporal values. * Time * Dates * Timezones * Time Conversions to and from 'datetime' Objects Chapter 6: Input and Output Goal: Learn about reading and writing data, with emphasis on numeric data and scientific file formats like HDF and NetCDF. * Reading and Writing Text Files * Reading and Writing Binary Files * Reading and Writing Pickle Files * Reading and Writing '.mat' files * Command Line Input * Interactive Input * Receiving and Sending over a Network * Interacting with Databases Chapter 7: Interacting with the File System Goal: Show how Python manages file system operations. * Reading Directory Contents * Finding Files * Deleting Files * Creating Directories * Deleting Directories * Walking Directory Trees Chapter 8: Interacting with the Operating System and External Executables Goal: Show how to make system calls in Python and how these differ from MATLAB. * Reading, setting environment variables * Calling External Executables * Inspecting the Process Table and Process Resources Part II - MATLAB with Python Chapter 9: MATLAB/Python Integration Goal: Show how to make system calls in Python and how these differ from MATLAB. * MATLAB''s 'py' Module * System calls and File I/O * TCP/IP Exchange Chapter 10: Object Oriented Programming Goal: Demonstrate Python''s OO semantics compared to MATLAB * Classes * Custom Exceptions * Performance Implications Chapter 11: NumPy and SciPy Goal: Introduce Python''s numeric and scientific computing capability. This is by far the largest chapter in the book. * NumPy Arrays
Copyright Date
2022
Dewey Decimal
620.00151
Dewey Edition
23
Illustrated
Yes

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This book is useless. All it tells you is what you're going to learn, but it never teaches you anything. It isn't even a book, it's more like a manual. Can't believe how much I paid for this subpar book. I know a s little now as when I started reading.