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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

The __getattribute__() method

An even lower-level attribute processing is the __getattribute__() method. The default implementation of this method attempts to locate the value as an existing attribute in the internal __dict__ (or __slots__). If the attribute is not found, this method calls __getattr__() as a fallback. If the value located is a descriptor (refer to the following Creating descriptors section), then it processes the descriptor. Otherwise, the value is simply returned.

By overriding this method, we can perform any of the following kinds of tasks:

  • We can effectively prevent access to attributes. This method, by raising an exception instead of returning a value, can make an attribute more secret than if we were to merely use the leading underscore (_) to mark a name as private to the implementation.
  • We can invent new attributes similarly to how __getattr__() can invent...
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