Python 3 Object-oriented Programming - Third Edition : Build robust and maintainable software with object-oriented design patterns in Python 3.8

Dusty Phillips

ISBN 10: 1789615852 / ISBN 13: 9781789615852

Published by Packt Publishing, 2018

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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 styleLearn the latest Python syntax and librariesExplore abstract design patterns and implement them in Python 3.8Book DescriptionObject-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 confidently.What you will learnImplement objects in Python by creating classes and defining methodsGrasp common concurrency techniques and pitfalls in Python 3Extend class functionality using inheritanceUnderstand when to use object-oriented features, and more importantly when not to use themDiscover what design patterns are and why they are different in PythonUncover the simplicity of unit testing and why it's so important in PythonExplore concurrent object-oriented programmingWho this book is forIf 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 necessary.Table of ContentsObject-oriented DesignObjects in PythonWhen Objects Are AlikeExpecting the UnexpectedWhen to Use Object-oriented ProgrammingPython Data StructuresPython Object-oriented ShortcutsStrings and SerializationThe Iterator PatternPython Design Patterns IPython Design Patterns IITesting Object-oriented ProgramsConcurrency.

Seller Inventory # 9781789615852

Bibliographic Details

• Title: Python 3 Object-oriented Programming - Third Edition : Build robust and maintainable software with object-oriented design patterns in Python 3.8
• Publisher: Packt Publishing
• Publication Date: 2018
• Language: English
• ISBN 10: 1789615852
• ISBN 13: 9781789615852
• Binding: Taschenbuch
• Edition: 3rd Edition
• Condition: Neu

About this title

Synopsis

Uncover modern Python with this guide to Python data structures, design patterns, and effective object-oriented techniques

Key Features:

• In-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 confidently.

What You Will Learn:

• Implement 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 necessary.

About the Author

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.