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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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Concepts
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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

The life of a process


Within the multiprocessing module, we have three distinct methods of starting processes within our Python programs:

  • Spawn
  • Fork
  • Forkserver

While you may never call upon this knowledge while you are crafting your multiprocess programs in Python, it's worthwhile to know how the underlying mechanisms work, and how they differ from one operating system to another.

Note

I'd recommend that you check out the official Python documentation which can be found here: https://docs.python.org/3.6/library/multiprocessing.html#contexts-and-start-methods.

Starting a process using fork

Forking is the mechanism used on Unix systems in order to create child processes from the parent process. These child processes are almost identical to their parent process and similar to the real world: children inherit all of the resources available to the parent.

The fork command is a standard system command found in the Unix ecosystem.

Spawning a process

By spawning a separate process, we spin up a second distinct...

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