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Python Object-Oriented Programming

Python Object-Oriented Programming - Fifth Edition

By : Steven F. Lott, Dusty Phillips
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Python Object-Oriented Programming

Python Object-Oriented Programming

By: Steven F. Lott, Dusty Phillips

Overview of this book

Learn 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.
Table of Contents (17 chapters)
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16
Index

8.2 Dataclasses

Since Python 3.7, dataclasses let us define ordinary objects with a clean syntax for specifying attributes. They look – superficially – very similar to named tuples. This is a pleasant approach that makes it easy to understand how they work. For more details, see Modern Python Cookbook, Chapter 7 for recipes related to dataclasses.

Here’s a dataclass version of our Stock example:

from decimal import Decimal 
from dataclasses import dataclass 
 
 
@dataclass 
class Stock: 
    symbol: str 
    current: Decimal 
    high: Decimal 
    low: Decimal

For this case, the definition is nearly identical to the NamedTuple definition.

The @dataclass decorator transforms the given code into a more complete class. We encountered decorators in  Chapter 6. We’ll dig into them deeply in  Chapter 11.

As with NamedTuple, it’...

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