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Mastering Object-Oriented Python

Mastering Object-Oriented Python

By : Steven F. Lott
3.8 (4)
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Mastering Object-Oriented Python

Mastering Object-Oriented Python

3.8 (4)
By: Steven F. Lott

Overview of this book

Object-oriented programming (OOP) is a relatively complex discipline to master, and it can be difficult to see how general principles apply to each language's unique features. With the help of the latest edition of Mastering Objected-Oriented Python, you'll be shown how to effectively implement OOP in Python, and even explore Python 3.x. Complete with practical examples, the book guides you through the advanced concepts of OOP in Python, and demonstrates how you can apply them to solve complex problems in OOP. You will learn how to create high-quality Python programs by exploring design alternatives and determining which design offers the best performance. Next, you'll work through special methods for handling simple object conversions and also learn about hashing and comparison of objects. As you cover later chapters, you'll discover how essential it is to locate the best algorithms and optimal data structures for developing robust solutions to programming problems with minimal computer processing. Finally, the book will assist you in leveraging various Python features by implementing object-oriented designs in your programs. By the end of this book, you will have learned a number of alternate approaches with different attributes to confidently solve programming problems in Python.
Table of Contents (25 chapters)
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Section 1: Tighter Integration Via Special Methods
11
Section 2: Object Serialization and Persistence
17
Section 3: Object-Oriented Testing and Debugging

Creating Containers and Collections

We can extend a number of the standard library abstract base classes (ABCs) to create new kinds of collections. The ABCs also provide us with design guidelines to extend the built-in containers. These allow us to fine-tune the features or define new data structures that fit our problem domain more precisely.

We'll look at the basics of ABCs for container classes. There are a fairly large number of abstractions that are used to assemble the built-in Python types, such as list, tuple, dict, set, and frozenset. We'll review the variety of special methods that are involved in being a container and offering the various features of containers. We'll split these into the core container methods, separate from the more specialized sequence, map, and set methods. We'll address extending built-in containers in order to add features...

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