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

Using Callables and Contexts

The callable concept in Python includes a variety of different ways to create functions and objects that behave like functions. We can create callable objects that use memoization to maintain a cache of answers, therefore performing very quickly. In some cases, memoization is essential for creating an algorithm that finishes within a reasonable amount of time.

The concept of context allows us to create elegant, reliable resource management. The with statement defines a context and creates a context manager to control the resources used in that context. Python files are generally context managers; when used in a with statement, they are properly closed.

We'll look at several ways to create context managers using the tools in the contextlib module. Some other useful abstract base classes are in a separate submodule called collections.abc.

We&apos...