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Python Object-Oriented Programming

You're reading from   Python Object-Oriented Programming Build robust and maintainable object-oriented Python applications and libraries

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781801077262
Length 714 pages
Edition 4th Edition
Languages
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Author (1):
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Dusty Phillips Dusty Phillips
Author Profile Icon Dusty Phillips
Dusty Phillips
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Toc

Table of Contents (17) Chapters Close

Preface 1. Object-Oriented Design 2. Objects in Python FREE CHAPTER 3. When Objects Are Alike 4. Expecting the Unexpected 5. When to Use Object-Oriented Programming 6. Abstract Base Classes and Operator Overloading 7. Python Data Structures 8. The Intersection of Object-Oriented and Functional Programming 9. Strings, Serialization, and File Paths 10. The Iterator Pattern 11. Common Design Patterns 12. Advanced Design Patterns 13. Testing Object-Oriented Programs 14. Concurrency 15. Other Books You May Enjoy
16. Index

AsyncIO

AsyncIO is the current state of the art in Python concurrent programming. It combines the concept of futures and an event loop with coroutines. The result is about as elegant and easy to understand as it is possible to get when writing responsive applications that don't seem to waste time waiting for input.

For the purposes of working with Python's async features, a coroutine is a function that is waiting for an event, and also can provide events to other coroutines. In Python, we implement coroutines using async def. A function with async must work in the context of an event loop which switches control among the coroutines waiting for events. We'll see a few Python constructs using await expressions to show where the event loop can switch to another async function.

It's crucial to recognize that async operations are interleaved, and not – generally – parallel. At most one coroutine is in control and processing, and all the others...

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