Python 3 Object-Oriented Programming

By : Dusty Phillips

4.3 (30)

Buy this Book

Python 3 Object-Oriented Programming

4.3 (30)

By: Dusty Phillips

Buy this Book

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

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Free Chapter

Object-Oriented Design

Introducing object-oriented

Objects and classes

Specifying attributes and behaviors

Hiding details and creating the public interface

Composition

Inheritance

Case study

Exercises

Summary

Objects in Python

Creating Python classes

Modules and packages

Organizing module content

Who can access my data?

Third-party libraries

Case study

Exercises

Summary

When Objects Are Alike

Basic inheritance

Multiple inheritance

Polymorphism

Abstract base classes

Case study

Exercises

Summary

Expecting the Unexpected

Raising exceptions

Case study

Exercises

Summary

When to Use Object-Oriented Programming

Treat objects as objects

Adding behaviors to class data with properties

Manager objects

Case study

Exercises

Summary

Python Data Structures

Empty objects

Tuples and named tuples

Dataclasses

Dictionaries

Lists

Sets

Extending built-in functions

Case study

Exercises

Summary

Python Object-Oriented Shortcuts

Python built-in functions

An alternative to method overloading

Functions are objects too

Case study

Exercises

Summary

Strings and Serialization

Strings

Regular expressions

Filesystem paths

Serializing objects

Case study

Exercises

Summary

The Iterator Pattern

Design patterns in brief

Iterators

Comprehensions

Generators

Coroutines

Case study

Exercises

Summary

Python Design Patterns I

The decorator pattern

The observer pattern

The strategy pattern

The state pattern

The singleton pattern

The template pattern

Exercises

Summary

Python Design Patterns II

The adapter pattern

The facade pattern

The flyweight pattern

The command pattern

The abstract factory pattern

The composite pattern

Exercises

Summary

Testing Object-Oriented Programs

Why test?

Unit testing

Testing with pytest

Imitating expensive objects

How much testing is enough?

Case study

Exercises

Summary

Concurrency

Threads

Multiprocessing

Futures

AsyncIO

Case study

Exercises

Summary

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Python Design Patterns II

In this chapter, we will be introduced to several more design patterns. Once again, we'll cover the canonical examples as well as any common alternative implementations in Python. We'll be discussing the following: