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Mastering Concurrency in Python

You're reading from   Mastering Concurrency in Python Create faster programs using concurrency, asynchronous, multithreading, and parallel programming

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789343052
Length 446 pages
Edition 1st Edition
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Concepts
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Author (1):
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Quan Nguyen Quan Nguyen
Author Profile Icon Quan Nguyen
Quan Nguyen
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Table of Contents (22) Chapters Close

Preface 1. Advanced Introduction to Concurrent and Parallel Programming FREE CHAPTER 2. Amdahl's Law 3. Working with Threads in Python 4. Using the with Statement in Threads 5. Concurrent Web Requests 6. Working with Processes in Python 7. Reduction Operators in Processes 8. Concurrent Image Processing 9. Introduction to Asynchronous Programming 10. Implementing Asynchronous Programming in Python 11. Building Communication Channels with asyncio 12. Deadlocks 13. Starvation 14. Race Conditions 15. The Global Interpreter Lock 16. Designing Lock-Based and Mutex-Free Concurrent Data Structures 17. Memory Models and Operations on Atomic Types 18. Building a Server from Scratch 19. Testing, Debugging, and Scheduling Concurrent Applications 20. Assessments 21. Other Books You May Enjoy

The potential removal of the GIL from Python

You have learned that the GIL sets a significant constraint on our multithreading programs in Python, especially those with CPU-bound tasks. For this reason, many Python developers have come to view the GIL in a negative light, and the term "the infamous GIL" has started to become popular; it is not surprising that some have even advocated the complete removal of the GIL from the Python language.

In fact, multiple attempts to remove the GIL have been made by prominent Python users. However, the GIL is so deeply implanted in the implementation of the language, and the execution of most libraries and packages that are not thread-safe is so significantly dependent on the GIL, that the removal of the GIL will actually engender bugs as well as backward incompatibility issues for your Python programs. A number of Python developers...

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