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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 processes


When it comes to synchronization between multiple sub processes, we have a number of different options that we can leverage:

  • Queues: This is your standard FIFO queue, which was covered in Chapter 5, Communication between Threads.
  • Pipes: These are a new concept, which we'll cover in more detail very shortly.
  • Manager: These provide a way for us to create data, and subsequently, share this data between different processes within our Python applications.
  • Ctypes: These are objects that utilize a shared memory which can subsequently be accessed by child processes.

The aforementioned four options represent quite a formidable number of different communication mechanisms that you can utilize within your multiprocess applications. It's definitely worth spending quite a bit of time engrossed within this topic in order to ensure you are making the correct choices when it comes to communication.

This book, unfortunately, does not have enough space to cover the near-infinite...

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