Python Object-Oriented Programming
Learn how and when to apply OOP principles to build scalable and maintainable Python applications
5th Edition
Published on 28. November 2025
Book
Paperback/Softback
542 pages
978-1-83664-259-6 (ISBN)
Description
This hands-on guide empowers Python developers to write clean, production-ready code using real-world OOP, design patterns, and concurrency tools. Fully updated for Python 3.13 with new type hinting and modern software engineering practices.
Key Features
Master OOP fundamentals with hands-on examples and expert insights
Learn design patterns and type hinting with real-world Python 3.13 code
Develop scalable programs using testing and concurrency best practices
Purchase of the print or Kindle book includes a free PDF eBook
Book DescriptionLearn to write effective, maintainable, and scalable Python applications by mastering object-oriented programming with this updated fifth edition. Whether you're transitioning from scripting to structured development or refining your OOP skills, this book offers a clear, practical path forward.
You'll explore Python's approach to OOP, from class creation and inheritance to polymorphism and abstraction, while discovering how to make smarter decisions about when and how to use these tools. You'll apply what you learn through hands-on examples and exercises.
Updated for Python 3.13, this edition simplifies complex topics such as abstract base classes, testing with unittest and pytest, and async programming with asyncio. It introduces a new chapter on Python's type hinting ecosystem-crucial for modern Python development.
Written by long-time Python experts Steven Lott and Dusty Phillips, this edition emphasizes clarity, testability, and professional software engineering practices. It helps you move beyond scripting to building well-structured, production-ready Python systems.
By the end of this book, you'll be confident in applying OOP principles, design patterns, type hints, and concurrency tools to create robust and maintainable Python applications.What you will learn
Write Python classes and implement object behaviors
Apply inheritance, polymorphism, and composition
Understand when to use OOP-and when not to
Use type hints and perform static and runtime checks
Explore common and advanced design patterns in Python
Write unit and integration tests with unittest and pytest
Implement concurrency with asyncio, futures, and threads
Refactor procedural code into well-designed OOP structures
Who this book is forPython developers who want to deepen their understanding of object-oriented programming to write maintainable, scalable, and professional-grade code. Ideal for developers transitioning from scripting to software engineering or those coming from other OOP languages looking to master Python's idiomatic approach. Basic Python knowledge is required.
Key Features
Master OOP fundamentals with hands-on examples and expert insights
Learn design patterns and type hinting with real-world Python 3.13 code
Develop scalable programs using testing and concurrency best practices
Purchase of the print or Kindle book includes a free PDF eBook
Book DescriptionLearn to write effective, maintainable, and scalable Python applications by mastering object-oriented programming with this updated fifth edition. Whether you're transitioning from scripting to structured development or refining your OOP skills, this book offers a clear, practical path forward.
You'll explore Python's approach to OOP, from class creation and inheritance to polymorphism and abstraction, while discovering how to make smarter decisions about when and how to use these tools. You'll apply what you learn through hands-on examples and exercises.
Updated for Python 3.13, this edition simplifies complex topics such as abstract base classes, testing with unittest and pytest, and async programming with asyncio. It introduces a new chapter on Python's type hinting ecosystem-crucial for modern Python development.
Written by long-time Python experts Steven Lott and Dusty Phillips, this edition emphasizes clarity, testability, and professional software engineering practices. It helps you move beyond scripting to building well-structured, production-ready Python systems.
By the end of this book, you'll be confident in applying OOP principles, design patterns, type hints, and concurrency tools to create robust and maintainable Python applications.What you will learn
Write Python classes and implement object behaviors
Apply inheritance, polymorphism, and composition
Understand when to use OOP-and when not to
Use type hints and perform static and runtime checks
Explore common and advanced design patterns in Python
Write unit and integration tests with unittest and pytest
Implement concurrency with asyncio, futures, and threads
Refactor procedural code into well-designed OOP structures
Who this book is forPython developers who want to deepen their understanding of object-oriented programming to write maintainable, scalable, and professional-grade code. Ideal for developers transitioning from scripting to software engineering or those coming from other OOP languages looking to master Python's idiomatic approach. Basic Python knowledge is required.
More details
Edition
5th Revised edition
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
US School Grade: College Graduate Student
Edition type
Revised edition
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 30 mm
Weight
1000 gr
ISBN-13
978-1-83664-259-6 (9781836642596)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Steven F. Lott Lott, Steven F. | Dusty Phillips Phillips, Dusty
Python Object-Oriented Programming
Learn how and when to apply OOP principles to build scalable and maintainable Python applications
E-Book
11/2025
5th Edition
Packt Publishing
from
€29.99
Available for download
Persons
Steven Lott has been programming since computers were large, expensive, and rare. Working for decades in high tech has given him exposure to a lot of ideas and techniques, some bad, but most are helpful to others. Since the 1990s, Steven has been engaged with Python, crafting an array of indispensable tools and applications. His profound expertise has led him to contribute significantly to Packt Publishing, penning notable titles like "Mastering Object-Oriented," "The Modern Python Cookbook," and "Functional Python Programming." A self-proclaimed technomad, Steven's unconventional lifestyle sees him travelling back and forth across the US. He tries to live by the words "Don't come home until you have a story." Dusty Phillips is a Canadian software developer known for authoring several popular programming books.
Content
Table of Contents
Object-Oriented Design
Objects in Python
When Objects Are Alike
Expecting the Unexpected
When to Use Object-Oriented Programming
Abstract Base Classes and Operator Overloading
Python Type Hints
Python Data Structures
The Intersection of Object-Oriented and Functional Programming
The Iterator Pattern
Common Design Patterns
Advanced Design Patterns
Testing Object-Oriented Programs
Concurrency
Object-Oriented Design
Objects in Python
When Objects Are Alike
Expecting the Unexpected
When to Use Object-Oriented Programming
Abstract Base Classes and Operator Overloading
Python Type Hints
Python Data Structures
The Intersection of Object-Oriented and Functional Programming
The Iterator Pattern
Common Design Patterns
Advanced Design Patterns
Testing Object-Oriented Programs
Concurrency