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Mastering Python

You're reading from   Mastering Python Master the art of writing beautiful and powerful Python by using all of the features that Python 3.5 offers

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Product type Paperback
Published in Apr 2016
Publisher Packt
ISBN-13 9781785289729
Length 486 pages
Edition 1st Edition
Languages
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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 (17) Chapters Close

Preface 1. Getting Started – One Environment per Project FREE CHAPTER 2. Pythonic Syntax, Common Pitfalls, and Style Guide 3. Containers and Collections – Storing Data the Right Way 4. Functional Programming – Readability Versus Brevity 5. Decorators – Enabling Code Reuse by Decorating 6. Generators and Coroutines – Infinity, One Step at a Time 7. Async IO – Multithreading without Threads 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. Multiprocessing – When a Single CPU Core Is Not Enough 14. Extensions in C/C++, System Calls, and C/C++ Libraries 15. Packaging – Creating Your Own Libraries or Applications Index

Introducing the asyncio library


The asyncio library was created to make asynchronous processing much easier and results more predictable. It was introduced with the purpose of replacing the asyncore module, which has been available for a very long time (since Python 1.5 in fact). The asyncore module was never very usable, which prompted the creation of the gevent and eventlet third-party libraries. Both gevent and eventlet make asynchronous programming much easier than asyncore ever did, but I feel that both have been made largely obsolete with the introduction of asyncio. Even though I have to admit that asyncio still has quite a few rough edges, it is in very active development, which makes me think that all the rough edges will soon be fixed by either the core Python library or third-party wrappers.

The asyncio library was officially introduced for Python 3.4, but a back port for Python 3.3 is available through the Python Package Index. With that in mind, while some portions of this chapter...

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