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Full 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.
Contents
Table of Contents
Object-Oriented Design
Objects in Python
When Objects Are Alike
Expecting the Unexpected
When to Use Object-Oriented Programming
The ABC's of Abstract Base Classes
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
