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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

Life of a Thread

In the previous chapter, we looked in depth at the concepts of concurrency and parallelism as well as some of the key issues we face in multithreaded Python applications. Now it's time to look at how we can start working with threads and manipulate them to our will.

In this chapter, we'll be diving into the life of a thread. We'll cover various topics such as:

  • The different states a thread can be in
  • Different types of threads - Windows vs POSIX
  • The best practices when it comes to starting your own threads
  • How we can make our lives easier when it comes to working with loads of threads
  • Finally, we'll be looking at how we can end threads and the various multithreading models out there
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