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

Defining the __enter__() and __exit__() methods

The defining feature of a context manager is that it has two special methods: __enter__() and __exit__(). These are used by the with statement to enter and exit the context. We'll use a simple context so that we can see how they work.

We'll often use context managers to make global state changes. This might be a change to the database transaction status or a change to the locking status of a resource, something that we want to do and then undo when the transaction is complete.

For this example, we'll make a global change to the random number generator. We'll create a context in which the random number generator uses a fixed and known seed, providing a fixed sequence of values.

The following is the context manager class definition:

import random
from typing import Optional, Type
from types import TracebackType

class...