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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

The Observer pattern

The Observer pattern is useful for state monitoring and event handling situations. This pattern allows a given object to be monitored by an unknown and dynamic group of observer objects. The core object being observed needs to implement an interface that makes it observable.

Whenever a value on the core object changes, it lets all the observer objects know that a change has occurred, by calling a method announcing there's been a change of state. This is used widely in GUIs to make sure that any state change in the underlying model is reflected in the views of the model. It's common to have detail and summary views; a change to the details must also update the widgets that display the details and update any summaries that are displayed, also. Sometimes a large change in mode may lead to a number of items being changed. For instance, clicking a "lock" icon may alter a number of displayed items to reflect their status as locked....

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