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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

Lock-based concurrent data structures in Python

In previous chapters that covered the usage of locks, you learned that locks don't lock anything; an insubstantial locking mechanism implemented on a data structure does not actually prevent external programs from accessing the data structure at the same time, by simply bypassing the lock imposed. One solution to this problem is to embed the lock into the data structure, so that it is impossible for the lock to be ignored by external entities.

In the first section of this chapter, we will consider the theories behind the preceding specific use of locks and lock-based data structures. Specifically, we will analyze the process of designing a concurrent counter that can be safely executed by different threads, using locks (or mutex) as the synchronization mechanism.

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