Mastering Concurrency in Python: Create faster programs using concurrency, asynchronous, multithreading, and parallel programming
bImmerse yourself in the world of Python concurrency and tackle the most complex concurrent programming problems/b h4Key Features/h4 ulliExplore the core syntaxes, language features and modern patterns of concurrency in Python /li liUnderstand how to use concurrency to keep data consistent and appli...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing Limited
2018
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| Ausgabe: | 1 |
| Schlagworte: | |
| Zusammenfassung: | bImmerse yourself in the world of Python concurrency and tackle the most complex concurrent programming problems/b h4Key Features/h4 ulliExplore the core syntaxes, language features and modern patterns of concurrency in Python /li liUnderstand how to use concurrency to keep data consistent and applications responsive /li liUtilize application scaffolding to design highly-scalable programs /li /ul h4Book Description/h4 Python is one of the most popular programming languages, with numerous libraries and frameworks that facilitate high-performance computing. Concurrency and parallelism in Python are essential when it comes to multiprocessing and multithreading; they behave differently, but their common aim is to reduce the execution time. This book serves as a comprehensive introduction to various advanced concepts in concurrent engineering and programming. Mastering Concurrency in Python starts by introducing the concepts and principles in concurrency, right from Amdahl's Law to multithreading programming, followed by elucidating multiprocessing programming, web scraping, and asynchronous I/O, together with common problems that engineers and programmers face in concurrent programming. Next, the book covers a number of advanced concepts in Python concurrency and how they interact with the Python ecosystem, including the Global Interpreter Lock (GIL). Finally, you'll learn how to solve real-world concurrency problems through examples. By the end of the book, you will have gained extensive theoretical knowledge of concurrency and the ways in which concurrency is supported by the Python language h4What you will learn/h4 ulliExplore the concepts of concurrency in programming /li liExplore the core syntax and features that enable concurrency in Python /li liUnderstand the correct way to implement concurrency /li liAbstract methods to keep the data consistent in your program /li liAnalyze problems commonly faced in concurrent programming /li liUse application scaffolding to design highly-scalable programs/li/ul h4Who this book is for/h4 This book is for developers who wish to build high-performance applications and learn about signle-core, multicore programming or distributed concurrency. Some experience with Python programming language is assumed |
| Beschreibung: | 1 Online-Ressource (446 Seiten) |
| ISBN: | 9781789341362 |
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| 520 | |a By the end of the book, you will have gained extensive theoretical knowledge of concurrency and the ways in which concurrency is supported by the Python language h4What you will learn/h4 ulliExplore the concepts of concurrency in programming /li liExplore the core syntax and features that enable concurrency in Python /li liUnderstand the correct way to implement concurrency /li liAbstract methods to keep the data consistent in your program /li liAnalyze problems commonly faced in concurrent programming /li liUse application scaffolding to design highly-scalable programs/li/ul h4Who this book is for/h4 This book is for developers who wish to build high-performance applications and learn about signle-core, multicore programming or distributed concurrency. Some experience with Python programming language is assumed | ||
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| spelling | Nguyen, Quan Verfasser aut Mastering Concurrency in Python Create faster programs using concurrency, asynchronous, multithreading, and parallel programming Nguyen, Quan 1 Birmingham Packt Publishing Limited 2018 1 Online-Ressource (446 Seiten) txt rdacontent c rdamedia cr rdacarrier bImmerse yourself in the world of Python concurrency and tackle the most complex concurrent programming problems/b h4Key Features/h4 ulliExplore the core syntaxes, language features and modern patterns of concurrency in Python /li liUnderstand how to use concurrency to keep data consistent and applications responsive /li liUtilize application scaffolding to design highly-scalable programs /li /ul h4Book Description/h4 Python is one of the most popular programming languages, with numerous libraries and frameworks that facilitate high-performance computing. Concurrency and parallelism in Python are essential when it comes to multiprocessing and multithreading; they behave differently, but their common aim is to reduce the execution time. This book serves as a comprehensive introduction to various advanced concepts in concurrent engineering and programming. Mastering Concurrency in Python starts by introducing the concepts and principles in concurrency, right from Amdahl's Law to multithreading programming, followed by elucidating multiprocessing programming, web scraping, and asynchronous I/O, together with common problems that engineers and programmers face in concurrent programming. Next, the book covers a number of advanced concepts in Python concurrency and how they interact with the Python ecosystem, including the Global Interpreter Lock (GIL). Finally, you'll learn how to solve real-world concurrency problems through examples. By the end of the book, you will have gained extensive theoretical knowledge of concurrency and the ways in which concurrency is supported by the Python language h4What you will learn/h4 ulliExplore the concepts of concurrency in programming /li liExplore the core syntax and features that enable concurrency in Python /li liUnderstand the correct way to implement concurrency /li liAbstract methods to keep the data consistent in your program /li liAnalyze problems commonly faced in concurrent programming /li liUse application scaffolding to design highly-scalable programs/li/ul h4Who this book is for/h4 This book is for developers who wish to build high-performance applications and learn about signle-core, multicore programming or distributed concurrency. Some experience with Python programming language is assumed COMPUTERS / Programming / Parallel COMPUTERS / Systems Architecture / Distributed Systems & Computing |
| spellingShingle | Nguyen, Quan Mastering Concurrency in Python Create faster programs using concurrency, asynchronous, multithreading, and parallel programming COMPUTERS / Programming / Parallel COMPUTERS / Systems Architecture / Distributed Systems & Computing |
| title | Mastering Concurrency in Python Create faster programs using concurrency, asynchronous, multithreading, and parallel programming |
| title_auth | Mastering Concurrency in Python Create faster programs using concurrency, asynchronous, multithreading, and parallel programming |
| title_exact_search | Mastering Concurrency in Python Create faster programs using concurrency, asynchronous, multithreading, and parallel programming |
| title_exact_search_txtP | Mastering Concurrency in Python Create faster programs using concurrency, asynchronous, multithreading, and parallel programming |
| title_full | Mastering Concurrency in Python Create faster programs using concurrency, asynchronous, multithreading, and parallel programming Nguyen, Quan |
| title_fullStr | Mastering Concurrency in Python Create faster programs using concurrency, asynchronous, multithreading, and parallel programming Nguyen, Quan |
| title_full_unstemmed | Mastering Concurrency in Python Create faster programs using concurrency, asynchronous, multithreading, and parallel programming Nguyen, Quan |
| title_short | Mastering Concurrency in Python |
| title_sort | mastering concurrency in python create faster programs using concurrency asynchronous multithreading and parallel programming |
| title_sub | Create faster programs using concurrency, asynchronous, multithreading, and parallel programming |
| topic | COMPUTERS / Programming / Parallel COMPUTERS / Systems Architecture / Distributed Systems & Computing |
| topic_facet | COMPUTERS / Programming / Parallel COMPUTERS / Systems Architecture / Distributed Systems & Computing |
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