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Mastering Object-oriented Python

Mastering Object-oriented Python

By : Steven F. Lott
4.2 (13)
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Mastering Object-oriented Python

Mastering Object-oriented Python

4.2 (13)
By: Steven F. Lott

Overview of this book

This practical example-oriented guide will teach you advanced concepts of object-oriented programming in Python. This book will present detailed examples of almost all of the special method names that support creating classes that integrate seamlessly with Python's built-in features. It will show you how to use JSON, YAML, Pickle, CSV, XML, Shelve, and SQL to create persistent objects and transmit objects between processes. The book also covers logging, warnings, unit testing, configuration files, and how to work with the command line. This book is broken into three major parts: Pythonic Classes via Special Methods; Persistence and Serialization; Testing, Debugging, Deploying, and Maintaining. The special methods are broken down into several focus areas: initialization, basics, attribute access, callables, contexts, containers, collections, numbers, and more advanced techniques such as decorators and mixin classes.
Table of Contents (26 chapters)
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Mastering Object-oriented Python
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Some Preliminaries
1
Index

Chapter 4. The ABCs of Consistent Design

The Python Standard Library provides abstract base classes for a number of features of containers. It provides a consistent framework for the built-in container classes, such as list, map, and set.

Additionally, the library provides abstract base classes for numbers. We can use these classes to extend the suite of numeric classes available in Python.

We'll look in general at the abstract base classes in the collections.abc module. From there, we can focus on a few use cases that will be the subject of detailed examination in future chapters.

We have three design strategies: Wrap, Extend, and Invent. We'll look at the general concepts behind the various containers and collections that we might want to wrap or extend. Similarly, we'll look at the concepts behind the numbers that we might want to implement.

Our goal is to assure that our application classes integrate seamlessly with existing Python features. If we create a collection, for example, it's appropriate...

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Mastering Object-oriented Python
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