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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

Implementing Asynchronous Programming in Python

This chapter will introduce you to the asyncio module in Python. It will cover the idea behind this new concurrency module, which utilizes event loops and coroutines and provides an API that is as readable as synchronous code. In this chapter, we will also discuss the implementation of asynchronous programming, in addition to threading and multiprocessing through the concurrent.futures module. During this process, we will cover the application of asynchronous programming via the most common uses of asyncio, including asynchronous input/output and avoiding blocking tasks.

The following topics will be covered in this chapter:

  • The fundamental elements of implementing asynchronous programming using asyncio
  • The framework for asynchronous programming provided by asyncio
  • The concurrent.futures module and its usage, in respect to asyncio...
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