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

Creating enumerated constants

We can define classes for the suits of our cards. The suits of playing cards are an example of a type with a domain that can be exhaustively enumerated. Some other types with very small domains of values include the None type, where there's only one value, and the bool type, which has only two values.

The suit of a playing card could be thought of as an immutable object: the state should not be changed. Python has one simple formal mechanism for defining an object as immutable. We'll look at techniques to assure immutability in Chapter 4, Attribute Access, Properties, and Descriptors. While it might make sense for the attributes of a suit to be immutable, the extra effort has no tangible benefit.

The following is a class that we'll use to build four manifest constants:

from enum import Enum


class Suit(str, Enum):
Club = "♣...