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Mastering Python Design Patterns

Mastering Python Design Patterns

By : Sakis Kasampalis
3.6 (5)
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Mastering Python Design Patterns

Mastering Python Design Patterns

3.6 (5)
By: Sakis Kasampalis

Overview of this book

This book is for Python programmers with an intermediate background and an interest in design patterns implemented in idiomatic Python. Programmers of other languages who are interested in Python can also benefit from this book, but it would be better if they first read some introductory materials that explain how things are done in Python.
Table of Contents (18 chapters)
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1
1. The Factory Pattern
17
Index

Implementation

In this section, we will implement a data formatter. The ideas described here are based on the ActiveState Python Observer code recipe [j.mp/pythonobs]. There is a default formatter that shows a value in the decimal format. However, we can add/register more formatters. In this example, we will add a hex and binary formatter. Every time the value of the default formatter is updated, the registered formatters are notified and take action. In this case, the action is to show the new value in the relevant format.

Observer is actually one of the patterns where inheritance makes sense. We can have a base Publisher class that contains the common functionality of adding, removing, and notifying observers. Our DefaultFormatter class derives from Publisher and adds the formatter-specific functionality. We can dynamically add and remove observers on demand. The following class diagram shows an instance of the example using two observers: HexFormatter and BinaryFormatter. Note that, because...

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