Python Object-Oriented Programming: Build robust and maintainable object-oriented Python applications and libraries

by Steven F. Lott, Dusty Phillips

Overview

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. Python Object-Oriented Programming, Fourth Edition dives deep into the various aspects of OOP, Python as an OOP language, common and advanced design patterns, and hands-on data manipulation and testing of more complex OOP systems. These concepts are consolidated by open-ended exercises, as well as a real-world case study at the end of every chapter, newly written for this edition. All example code is now compatible with Python 3.9+ syntax and has been updated with type hints for ease of learning.

Steven and Dusty provide a comprehensive, illustrative tour of important OOP concepts, such as inheritance, composition, and polymorphism, and explain how they work together with Python’s classes and data structures to facilitate good design. In addition, the book also features an in-depth look at Python’s exception handling and how functional programming intersects with OOP. Two very powerful automated testing systems, unittest and pytest, are introduced. The final chapter provides a detailed discussion of Python's concurrent programming ecosystem.

By the end of the book, you will have a thorough understanding of how to think about and apply object-oriented principles using Python syntax and be able to confidently create robust and reliable programs.

Product Details

ISBN-13:	9781801075237
Publisher:	Packt Publishing
Publication date:	07/02/2021
Sold by:	Barnes & Noble
Format:	eBook
Pages:	714
File size:	9 MB

About the Author

Steven F. 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 useful and helpful to others.
Steven has been working with Python since the 90s, building a variety of tools and applications. He's written a number of titles for Packt Publishing, include Mastering Object-Oriented Python, the Modern Python Cookbook, and Python Object-Oriented Programming, Fourth Edition.
He's a technomad, and lives on a boat that's usually located on the east coast of the US. He tries to live by his mother's words “Don't come home until you have a story.”


Dusty Phillips is a Canadian software developer and an author currently living in New Brunswick. He has been active in the open-source community for 2 decades and has been programming in Python for nearly as long. He holds a master's degree in computer science and has worked for Facebook, the United Nations, and several startups.

Table of Contents

Table of Contents

1. Object-Oriented Design
2. Objects in Python
3. When Objects Are Alike
4. Expecting the Unexpected
5. When to Use Object-Oriented Programming
6. Abstract Base Classes and Operator Overloading
7. Python Data Structures
8. The Intersection of Object-Oriented and Functional Programming
9. Strings, Serialization, and File Paths
10. The Iterator Pattern
11. Common Design Patterns
12. Advanced Design Patterns
13. Testing Object-Oriented Programs
14. Concurrency