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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

Standard data structures

Some of Python's traditional data structure features provide various degrees of thread safety by default. However, in most cases, we will have to define some form of a locking mechanism for controlling access to these data structures in order to guarantee thread safety.

Sets

During my time working with communication between multiple threads in Python, I discovered that one excellent solution to using sets in a thread-safe manner is to actually extend the set class, and to implement my own locking mechanism around the actions that I wish to perform.

Extending the class

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