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Learning Concurrency in Python

You're reading from   Learning Concurrency in Python Build highly efficient, robust, and concurrent applications

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Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781787285378
Length 360 pages
Edition 1st Edition
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Author (1):
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Elliot Forbes Elliot Forbes
Author Profile Icon Elliot Forbes
Elliot Forbes
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Table of Contents (13) Chapters Close

Preface 1. Speed It Up! FREE CHAPTER 2. Parallelize It 3. Life of a Thread 4. Synchronization between Threads 5. Communication between Threads 6. Debug and Benchmark 7. Executors and Pools 8. Multiprocessing 9. Event-Driven Programming 10. Reactive Programming 11. Using the GPU 12. Choosing a Solution

Communication between Threads

Communication is one of the most important parts of your concurrent systems. Without proper communication mechanisms implemented, any performance gains we manage to achieve through the use of concurrency and parallelism could all be for nothing. Communication represents one of the biggest challenges you will have to overcome when it comes to communication between both threads and processes, and it's essential to have a good understanding of all of the options that are available before you dive in.

In this chapter, we'll look at the numerous ways that you can implement your own communication mechanisms, and discuss when and where to use each of these mechanisms.

We'll cover the following topics within this chapter:

  • The standard data structures in Python, and how we can interact with them in a thread-safe manner
  • Thread-safe communication...
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