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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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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 10

What is asynchronous programming? What advantages does it provide?

Asynchronous programming is a model of programming that takes advantage of coordinating computing tasks to overlap the waiting and processing times. If successfully implemented, asynchronous programming provides both responsiveness and an improvement in speed, as compared to synchronous programming.

What are the main elements in an asynchronous program? How do they interact with each other?

There are three main components of an asynchronous program: the event loop, the coroutines, and the futures. The event loop is in charge of scheduling and managing coroutines by using its task queue; the coroutines are computing tasks that are to be executed asynchronously, and each coroutine has to specify, inside its function, exactly where it will give the execution flow back to the event loop (that is, the task...

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