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.
Table of Contents (15 chapters)

Preface

This book introduces the terminology of the object-oriented paradigm. It focuses on object-oriented design with step-by-step examples. It guides us from simple inheritance, one of the most useful tools in the object-oriented programmer's toolbox, through exception handling to design patterns, an object-oriented way of looking at object-oriented concepts.

Along the way, we'll learn how to integrate the object-oriented and the not-so-object-oriented aspects of the Python programming language. We will learn the complexities of string and file manipulation, emphasizing the difference between binary and textual data.

We'll then cover the joys of unit testing, using not one, but two unit testing frameworks. Finally, we'll explore, through Python's various concurrency paradigms, how to make objects work well together at the same time.

Each chapter includes relevant examples and a case study that collects the chapter's contents into a working (if not complete) program.