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 descriptors

A descriptor is a class that mediates attribute access. The descriptor class can be used to get, set, or delete attribute values. Descriptor objects are built inside a class at class definition time. Descriptors are the essence of how Python implements methods, attributes, and properties.

The descriptor design pattern has two parts: an owner class and the attribute descriptor itself. The owner class uses one or more descriptors for its attributes. A descriptor class defines some combination of the __get__, __set__, and __delete__ methods. An instance of the descriptor class will be an attribute of the owner class.

A descriptor is an instance of a class that is separate from the owning class. Therefore, descriptors let us create reusable, generic kinds of attributes. The owning class can have multiple instances of each descriptor class to manage attributes...