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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

Working with Threads in Python

In Chapter 1, Advanced Introduction to Concurrent and Parallel Programming, you saw an example of threads being used in concurrent and parallel programming. In this chapter, you will be introduced to the formal definition of a thread, as well as the threading module in Python. We will cover a number of ways to work with threads in a Python program, including activities such as creating new threads, synchronizing threads, and working with multithreaded priority queues, via specific examples. We will also discuss the concept of a lock in thread synchronization, and we will implement a lock-based multithreaded application, in order to better understand the benefits of thread synchronization.

The following topics will be covered in this chapter:

  • The concept of a thread in the context of concurrent programming in computer science
  • The basic API of the...
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