Python 3 Object-Oriented Programming, 2nd Edition

Python 3 Object-Oriented Programming, 2nd Edition Front Cover
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2015-09-01
504 pages

Book Description

Unleash the power of 3 objects

About This Book

  • Stop scripts and start architecting programs
  • Learn the latest Python syntax and libraries
  • A practical, hands-on tutorial that teaches you all about abstract design patterns and how to implement them in Python 3

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 object-oriented programming in Python to design software, this is the book for you.

What You Will Learn

  • Implement objects in Python by creating classes and defining methods
  • Separate related objects into a taxonomy of classes and describe the properties and behaviors of those objects via the class interface
  • 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
  • Grasp common concurrency techniques and pitfalls in Python 3
  • Exploit object-oriented programming in key Python technologies such as Kivy and .
  • Object-oriented programming concurrently with asyncio

In Detail

Python 3 is more versatile and easier to use than ever. It runs on all major platforms in a huge array of use cases. Coding in Python minimizes development time and increases productivity in comparison to other languages. Clean, maintainable is easy to both read and write using Python's clear, concise syntax.

Object-oriented programming is a popular design paradigm in which data and behaviors are encapsulated in such a way that they can be manipulated together. Many modern programming languages utilize the powerful concepts behind object-oriented programming and Python is no exception.

Starting with a detailed analysis of object-oriented analysis and design, you will use the Python programming language to clearly grasp key concepts from the object-oriented paradigm. This book fully explains classes, data encapsulation, inheritance, polymorphism, abstraction, and exceptions with an emphasis on when you can use each principle to develop well-designed software.

You'll get an in-depth analysis of many common object-oriented design patterns that are more suitable to Python's unique style. This book will not just teach Python syntax, but will also build your confidence in how to program.

You will also learn how to create maintainable applications by studying higher level design patterns. Following this, you'll learn 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 will be introduced in the book. After you discover the joy of unit testing and just how easy it can be, you'll study higher level libraries such as database connectors and GUI toolkits and learn how they uniquely apply object-oriented . You'll learn how these will allow you to make greater use of key members of the Python eco-system such as Django and Kivy.

This new edition includes all the topics that made Python 3 Object-oriented Programming an instant Packt classic. It's also packed with updated content to reflect recent changes in the core Python library and covers modern third-party packages that were not available on the Python 3 platform when the book was first published.

Style and approach

Throughout the book you will learn key object-oriented programming techniques demonstrated by comprehensive case studies in the context of a larger project.

Table of Contents

Chapter 1: Object-oriented Design
Chapter 2: Objects in Python
Chapter 3: When Objects Are Alike
Chapter 4: Expecting the Unexpected
Chapter 5: When to Use Object-oriented Programming
Chapter 6: Python
Chapter 7: Python Object-oriented Shortcuts
Chapter 8: Strings and Serialization
Chapter 9: The Iterator Pattern
Chapter 10: Python Design Patterns I
Chapter 11: Python Design Patterns II
Chapter 12: Testing Object-oriented Programs
Chapter 13: Concurrency

Book Details

  • Title: Python 3 Object-Oriented Programming, 2nd Edition
  • Author:
  • Length: 504 pages
  • Edition: 2nd Revised edition
  • Language: English
  • Publisher:
  • Publication Date: 2015-09-01
  • ISBN-10: 1784398780
  • ISBN-13: 9781784398781
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