Uncover modern Python with this guide to Python data structures, design patterns, and effective object-oriented techniquesKey FeaturesIn-depth analysis of many common object-oriented design patterns that are more suitable to Python's unique style
Learn the latest Python syntax and libraries
Explore abstract design patterns and implement them in Python 3.8

Book Description
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. This third edition of Python 3 Object-Oriented Programming fully explains classes, data encapsulation, and exceptions with an emphasis on when you can use each principle to develop well-designed software.
Starting with a detailed analysis of object-oriented programming, you will use the Python programming language to clearly grasp key concepts from the object-oriented paradigm. You will learn how to create maintainable applications by studying higher level design patterns. The book will show you the complexities of string and file manipulation, and how Python distinguishes between binary and textual data. Not one, but two very powerful automated testing systems, unittest and pytest, will be introduced in this book. You'll get a comprehensive introduction to Python's concurrent programming ecosystem.
By the end of the book, you will have thoroughly learned object-oriented principles using Python syntax and be able to create robust and reliable programs [...] you will learnImplement objects in Python by creating classes and defining methods
Grasp common concurrency techniques and pitfalls in Python 3
Extend class functionality using inheritance
Understand when to use object-oriented features, and more importantly when not to use them
Discover what design patterns are and why they are different in Python
Uncover the simplicity of unit testing and why it's so important in Python
Explore concurrent object-oriented programming

Who this book is for
If you're new to object-oriented programming techniques, or if you have basic Python skills and wish to learn in depth how and when to correctly apply OOP in Python, this is the book for you. If you are an object-oriented programmer for other languages or seeking a leg up in the new world of Python 3.8, you too will find this book a useful introduction to Python. Previous experience with Python 3 is not [...] of ContentsObject-oriented Design
Objects in Python
When Objects Are Alike
Expecting the Unexpected
When to Use Object-oriented Programming
Python Data Structures
Python Object-oriented Shortcuts
Strings and Serialization
The Iterator Pattern
Python Design Patterns I
Python Design Patterns II
Testing Object-oriented Programs
Concurrency