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Mastering Python 2E

You're reading from   Mastering Python 2E Write powerful and efficient code using the full range of Python's capabilities

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Product type Paperback
Published in May 2022
Last Updated in May 2022
Publisher Packt
ISBN-13 9781800207721
Length 710 pages
Edition 2nd Edition
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Author (1):
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Rick Hattem Rick Hattem
Author Profile Icon Rick Hattem
Rick Hattem
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Table of Contents (21) Chapters Close

Preface 1. Getting Started – One Environment per Project FREE CHAPTER 2. Interactive Python Interpreters 3. Pythonic Syntax and Common Pitfalls 4. Pythonic Design Patterns 5. Functional Programming – Readability Versus Brevity 6. Decorators – Enabling Code Reuse by Decorating 7. Generators and Coroutines – Infinity, One Step at a Time 8. Metaclasses – Making Classes (Not Instances) Smarter 9. Documentation – How to Use Sphinx and reStructuredText 10. Testing and Logging – Preparing for Bugs 11. Debugging – Solving the Bugs 12. Performance – Tracking and Reducing Your Memory and CPU Usage 13. asyncio – Multithreading without Threads 14. Multiprocessing – When a Single CPU Core Is Not Enough 15. Scientific Python and Plotting 16. Artificial Intelligence 17. Extensions in C/C++, System Calls, and C/C++ Libraries 18. Packaging – Creating Your Own Libraries or Applications 19. Other Books You May Enjoy
20. Index

Summary

In this chapter, we have seen:

  • The basic concepts of asyncio and how they interact
  • How to run external processes using asyncio
  • How to create a server and client using asyncio
  • How to create context managers with asyncio
  • How to create generators with asyncio
  • How to debug common issues when using asyncio
  • How to avoid the unfinished task pitfall

By now you should know how to keep your main loop responsive while waiting for results without having to resort to polling. In Chapter 14, Multiprocessing – When a Single CPU Core Is Not Enough, we will learn about threading and multiprocessing as an asyncio alternative to running multiple functions in parallel.

For new projects, I would strongly consider using asyncio from the ground up because it is usually the fastest solution for handling external resources. For existing scripts, however, this can be a very invasive process. So knowing about threading and multiprocessing...

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