Python Object-Oriented Programming - Fourth Edition
Build Robust and Maintainable Object-oriented Python Applications and Libraries
By: Steven F. Lott, Dusty Phillips
About This Book
A comprehensive guide to exploring modern Python through data structures, design patterns, and effective object-oriented techniques Key Features: Build an intuitive understanding of object-oriented design, from introductory to mature programs Learn the ins and outs of Python syntax, libraries, and best practices Examine a machine-learning case study at the end of each chapter Book Description: 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 friendly, comprehensive 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. UML class diagrams are generously used throughout the text for you to understand class relationships. Beyond the book's focus on OOP, it features an in-depth look at Python's exception handling and how functional programming intersects with OOP. Not one, but two very powerful automated testing systems, unittest and pytest, are introduced in this book. 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. What You Will Learn: Implement objects in Python by creating classes and defining methods Extend class functionality using inheritance Use exceptions to handle unusual situations cleanly Understand when to use object-oriented features, and more importantly, when not to use them Discover several widely used design patterns and how they are implemented in Python Uncover the simplicity of unit and integration testing and understand why they are so important Learn to statically type check your dynamic code Understand concurrency with asyncio and how it speeds up programs Who this book is for: If you are new to object-oriented programming techniques, or if you have basic Python skills and wish to learn how and when to correctly apply OOP principles in Python, this is the book for you. Moreover, if you are an object-oriented programmer coming from other languages or seeking a leg up in the new world of Python, you will find this book a useful introduction to Python. Minimal previous experience with Python is necessary.
AI Overview
Book Overview:
"Python Object-Oriented Programming - Fourth Edition" by Steven F. Lott and Dusty Phillips is a comprehensive guide to exploring modern Python through data structures, design patterns, and effective object-oriented techniques. Here is a detailed overview of the book:
Key Themes
Object-Oriented Programming (OOP) Fundamentals:
- The book provides a thorough introduction to OOP concepts, including inheritance, composition, and polymorphism. It explains how these concepts work together with Python's classes and data structures to facilitate good design.
Python Syntax and Libraries:
- The authors delve into the ins and outs of Python syntax, libraries, and best practices. This includes an in-depth look at how to use Python's built-in functions and libraries effectively.
Design Patterns:
- The book covers common and advanced design patterns, providing practical examples of how they are implemented in Python. This includes discussions on various design patterns and their applications.
Exception Handling and Functional Programming:
- Beyond OOP, the book features an in-depth look at Python's exception handling mechanisms and how functional programming intersects with OOP. This includes the introduction of two powerful automated testing systems, unittest and pytest.
Concurrency and Testing:
- The final chapter provides a detailed discussion of Python's concurrent programming ecosystem using asyncio. Additionally, the book covers the simplicity of unit and integration testing, emphasizing their importance in software development.
Plot Summary
The book is structured to provide a gradual and intuitive understanding of object-oriented design, from introductory to mature programs. Each chapter includes:
- Open-Ended Exercises: To consolidate the concepts learned, the book includes open-ended exercises that help readers practice their skills.
- Real-World Case Studies: A real-world case study is provided at the end of every chapter, newly written for this edition. These case studies help readers apply theoretical knowledge to practical scenarios.
Critical Reception
While specific reviews are not provided in the sources, the book's comprehensive nature and detailed coverage of OOP concepts, Python syntax, and best practices suggest it would be well-received by both beginners and experienced programmers. The inclusion of up-to-date code compatible with Python 3.9+ and type hints for ease of learning further supports its utility.
Target Audience
The book is designed for:
- Newcomers to OOP: Those new to object-oriented programming techniques will find the book an excellent introduction to the subject.
- Basic Python Users: Readers with basic Python skills can learn how and when to correctly apply OOP principles in Python.
- Experienced Programmers: Object-oriented programmers coming from other languages or seeking a leg up in the new world of Python will also find this book useful.
In summary, "Python Object-Oriented Programming - Fourth Edition" by Steven F. Lott and Dusty Phillips is a thorough and practical guide that covers all aspects of OOP in Python, making it an essential resource for anyone looking to master object-oriented programming with Python.