Python 3 Object-oriented Programming: Building robust and maintainable software with object oriented design patterns in Python, 2nd Edition - Tapa blanda

Rethink Python programming with this guide to Python data structures, design patterns and effective object oriented techniques, to uncover a truly modern Python

Key Features

• Stop writing 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

Book Description

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 code 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 principles. You'll learn how these principles will allow you to make greater use of key members of the Python eco-system such as Django and Kivy

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 Django.
• Object-oriented programming concurrently with asyncio

Table of Contents

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