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

The __new__() method and immutable objects

One use case for the __new__() method is to initialize objects that are otherwise immutable. The __new__() method is where an uninitialized object is created prior to the __init__() method setting the attribute values of the object.

The __new__() method must be overridden to extend an immutable class where the __init__() method isn't used.

The following is a class that does not work. We'll define a version of float that carries around information on units:

class Float_Fail(float):

def __init__(self, value: float, unit: str) -> None:
super().__init__(value)
self.unit = unit

We're trying (improperly) to initialize an immutable object. Since immutable objects can't have their state changed, the __init__() method isn't meaningful and isn't used.

The following is what happens when we try to...