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

Rating
Format
Paperback, 466 pages
Published
United Kingdom, 1 October 2018

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.


Dusty Phillips is a Canadian software developer and author currently living in New Brunswick. He has been active in the open source community for two 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 start-ups. He's currently researching privacy-preserving technology at beanstalk.network. Python 3 Object-Oriented Programming was his first book. He has also written Creating Apps in Kivy, and self-published Hacking Happy, a journey to mental wellness for the technically inclined. A work of fiction is coming as well, so stay tuned!Dusty is now a PEN author, as of Aug 15th 2020 - Shailesh

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£33.93
Ships from UK Estimated delivery date: 29th Apr - 1st May from UK

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Product Description

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.


Dusty Phillips is a Canadian software developer and author currently living in New Brunswick. He has been active in the open source community for two 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 start-ups. He's currently researching privacy-preserving technology at beanstalk.network. Python 3 Object-Oriented Programming was his first book. He has also written Creating Apps in Kivy, and self-published Hacking Happy, a journey to mental wellness for the technically inclined. A work of fiction is coming as well, so stay tuned!Dusty is now a PEN author, as of Aug 15th 2020 - Shailesh

Show more
Product Details
EAN
9781789615852
ISBN
1789615852
Dimensions
23.5 x 19.1 x 2.4 centimeters (0.54 kg)

Table of Contents

Table of Contents

  • Object-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
  • 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.

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