Book Image

Mastering Object-Oriented Python - Second Edition

By : Steven F. Lott
Book Image

Mastering Object-Oriented Python - Second Edition

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)
Free Chapter
1
Section 1: Tighter Integration Via Special Methods
11
Section 2: Object Serialization and Persistence
17
Section 3: Object-Oriented Testing and Debugging

Summary

We've looked at a number of basic special methods, which are essential features of any class that we design. These methods are already part of every class, but the defaults that we inherit from the object may not match our processing requirements.

We'll almost always need to override __repr__(), __str__(), and __format__(). The default implementations of these methods aren't very helpful at all.

We rarely need to override __bool__() unless we're writing our own collection. That's the subject of Chapter 7, Creating Containers and Collections.

We often need to override comparison and __hash__() methods. These definitions are suitable for simple immutable objects, but are not at all appropriate for mutable objects. We may not need to write all the comparison operators; we'll look at the @functools.total_ordering decorator in Chapter 9, Decorators...