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Mastering Concurrency in Python
Mastering Concurrency in Python

Mastering Concurrency in Python: Create faster programs using concurrency, asynchronous, multithreading, and parallel programming

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Mastering Concurrency in Python

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Key benefits

  • Explore the core syntaxes, language features and modern patterns of concurrency in Python
  • Understand how to use concurrency to keep data consistent and applications responsive
  • Utilize application scaffolding to design highly-scalable programs

Description

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

Who is this book for?

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.

What you will learn

  • Explore the concepts of concurrency in programming
  • Explore the core syntax and features that enable concurrency in Python
  • Understand the correct way to implement concurrency
  • Abstract methods to keep the data consistent in your program
  • Analyze problems commonly faced in concurrent programming
  • Use application scaffolding to design highly-scalable programs

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Nov 27, 2018
Length: 446 pages
Edition : 1st
Language : English
ISBN-13 : 9781789341362
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What do you get with eBook?

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Product Details

Publication date : Nov 27, 2018
Length: 446 pages
Edition : 1st
Language : English
ISBN-13 : 9781789341362
Category :
Languages :
Concepts :

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Table of Contents

21 Chapters
Advanced Introduction to Concurrent and Parallel Programming Chevron down icon Chevron up icon
Amdahl's Law Chevron down icon Chevron up icon
Working with Threads in Python Chevron down icon Chevron up icon
Using the with Statement in Threads Chevron down icon Chevron up icon
Concurrent Web Requests Chevron down icon Chevron up icon
Working with Processes in Python Chevron down icon Chevron up icon
Reduction Operators in Processes Chevron down icon Chevron up icon
Concurrent Image Processing Chevron down icon Chevron up icon
Introduction to Asynchronous Programming Chevron down icon Chevron up icon
Implementing Asynchronous Programming in Python Chevron down icon Chevron up icon
Building Communication Channels with asyncio Chevron down icon Chevron up icon
Deadlocks Chevron down icon Chevron up icon
Starvation Chevron down icon Chevron up icon
Race Conditions Chevron down icon Chevron up icon
The Global Interpreter Lock Chevron down icon Chevron up icon
Designing Lock-Based and Mutex-Free Concurrent Data Structures Chevron down icon Chevron up icon
Memory Models and Operations on Atomic Types Chevron down icon Chevron up icon
Building a Server from Scratch Chevron down icon Chevron up icon
Testing, Debugging, and Scheduling Concurrent Applications Chevron down icon Chevron up icon
Assessments Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

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1 star 100%
Gabriel Apr 02, 2019
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The english is awful, which makes me concerned about the correctness of the content. It feels like the book was copy-pasted from various sources from the Internet.
Amazon Verified review Amazon
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