Book Image

Python 3 Object-Oriented Programming - Third Edition

By : Dusty Phillips

Book Image

Python 3 Object-Oriented Programming - Third Edition

By: Dusty Phillips

Overview of this book

Object-oriented programming (OOP) is a popular design paradigm in which data and behaviors are encapsulated in such a way that they can be manipulated together. This third edition of Python 3 Object-Oriented Programming fully explains classes, data encapsulation, and exceptions with an emphasis on when you can use each principle to develop well-designed software. Starting with a detailed analysis of object-oriented programming, you will use the Python programming language to clearly grasp key concepts from the object-oriented paradigm. You will learn how to create maintainable applications by studying higher level design patterns. The book will show you the complexities of string and file manipulation, and how Python distinguishes between binary and textual data. Not one, but two very powerful automated testing systems, unittest and pytest, will be introduced in this book. You'll get a comprehensive introduction to Python's concurrent programming ecosystem. By the end of the book, you will have thoroughly learned object-oriented principles using Python syntax and be able to create robust and reliable programs confidently.

Preface

Who this book is for

What this book covers

To get the most out of this book

Free Chapter

Object-Oriented Design

Object-Oriented Design

Introducing object-oriented

Objects and classes

Specifying attributes and behaviors

Hiding details and creating the public interface

Objects in Python

Objects in Python

Creating Python classes

Modules and packages

Organizing module content

Who can access my data?

Third-party libraries

When Objects Are Alike

When Objects Are Alike

Basic inheritance

Multiple inheritance

Abstract base classes

Expecting the Unexpected

Expecting the Unexpected

Raising exceptions

When to Use Object-Oriented Programming

When to Use Object-Oriented Programming

Treat objects as objects

Adding behaviors to class data with properties

Manager objects

Python Data Structures

Python Data Structures

Tuples and named tuples

Extending built-in functions

Python Object-Oriented Shortcuts

Python Object-Oriented Shortcuts

Python built-in functions

An alternative to method overloading

Functions are objects too

Strings and Serialization

Strings and Serialization

Regular expressions

Filesystem paths

Serializing objects

The Iterator Pattern

The Iterator Pattern

Design patterns in brief

Python Design Patterns I

Python Design Patterns I

The decorator pattern

The observer pattern

The strategy pattern

The state pattern

The singleton pattern

The template pattern

Python Design Patterns II

Python Design Patterns II

The adapter pattern

The facade pattern

The flyweight pattern

The command pattern

The abstract factory pattern

The composite pattern

Testing Object-Oriented Programs

Testing Object-Oriented Programs

Testing with pytest

Imitating expensive objects

How much testing is enough?

Concurrency

Multiprocessing

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Summary

This chapter ends our exploration of object-oriented programming with a topic that isn't very object-oriented. Concurrency is a difficult problem, and we've only scratched the surface. While the underlying OS abstractions of processes and threads do not provide an API that is remotely object-oriented, Python offers some really good object-oriented abstractions around them. The threading and multiprocessing packages both provide an object-oriented interface to the underlying mechanics. Futures are able to encapsulate a lot of the messy details into a single object. AsyncIO uses coroutine objects to make our code read as though it runs synchronously, while hiding ugly and complicated implementation details behind a very simple loop abstraction.

Thank you for reading Python 3 Object-Oriented Programming, Third Edition. I hope you've enjoyed the ride and are...