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

Integrating Seamlessly - Basic Special Methods

There are a number of special methods that permit close integration between our classes and classes builtin Python. The Python standard library calls them basic. A better term might be foundational or essential. These special methods form a foundation for building classes that seamlessly integrate with other Python features.

For example, we often need string representations of a given object's value. The base class, object, has default implementations of __repr__() and __str__() that provide string representations of an object. Sadly, these default representations are remarkably uninformative. We'll almost always want to override one or both of these default definitions. We'll also look at __format__(), which is a bit more sophisticated, but serves a similar purpose.

We'll also look at other conversions, specifically...