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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 Processes in Python

This chapter is the first of three chapters on using concurrency through multiprocessing programming in Python. We have seen various examples of processes being used in concurrent and parallel programming. In this chapter, you will be introduced to the formal definition of a process, as well as the multiprocessing module in Python. This chapter will go through some of the most common ways of working with processes using the API of the multiprocessing module, such as the Process class, the Pool class, and interprocess communication tools such as the Queue class. This chapter will also look at the key differences between multithreading and multiprocessing in concurrent programming.

The following topics will be covered in this chapter:

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