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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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Preface
Who this book is for
What this book covers
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The implicit superclass – object

Each Python class definition has an implicit superclass: object. It's a very simple class definition that does almost nothing.

We can create instances of object, but we can't do much with them, because many of the special methods simply raise exceptions.

When we define our own class, object is the superclass. The following is an example class definition that simply extends object with a new name:

>>> class X: 
>>>     pass 

The following are some interactions with this tiny class definition:

>>> X.__class__ 
<class 'type'> 
>>> X.__class__.__base__ 
<class 'object'> 

We can see that a class is an object of the class named type and that the base class for our new class is the class named object. As we look at each method, we also take a look at the default behavior...

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