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Mastering Concurrency in Python

You're reading from   Mastering Concurrency in Python Create faster programs using concurrency, asynchronous, multithreading, and parallel programming

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789343052
Length 446 pages
Edition 1st Edition
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Concepts
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Author (1):
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Quan Nguyen Quan Nguyen
Author Profile Icon Quan Nguyen
Quan Nguyen
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Toc

Table of Contents (22) Chapters Close

Preface 1. Advanced Introduction to Concurrent and Parallel Programming FREE CHAPTER 2. Amdahl's Law 3. Working with Threads in Python 4. Using the with Statement in Threads 5. Concurrent Web Requests 6. Working with Processes in Python 7. Reduction Operators in Processes 8. Concurrent Image Processing 9. Introduction to Asynchronous Programming 10. Implementing Asynchronous Programming in Python 11. Building Communication Channels with asyncio 12. Deadlocks 13. Starvation 14. Race Conditions 15. The Global Interpreter Lock 16. Designing Lock-Based and Mutex-Free Concurrent Data Structures 17. Memory Models and Operations on Atomic Types 18. Building a Server from Scratch 19. Testing, Debugging, and Scheduling Concurrent Applications 20. Assessments 21. Other Books You May Enjoy

Chapter 9

What is the idea behind asynchronous programming?

Asynchronous programming is a model of programming that focuses on coordinating different tasks in an application with the goal that the application will use the least amount of time to finish executing those tasks. An asynchronous program switches from one task to another when it is appropriate to create overlap between the waiting and processing time, and therefore shorten the total time taken to finish the whole program.

How is asynchronous programming different from synchronous programming?

In synchronous programming, the instructions of a program are executed sequentially: a task has to finished executing before the next task in the program starts processing. With asynchronous programming, if the current task takes a significant amount of time to finish, you have the option to specify at one time during the task...

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