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  • Python 3 Object-Oriented Programming
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Python 3 Object-Oriented Programming

Python 3 Object-Oriented Programming

By : Dusty Phillips
4.3 (30)
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Python 3 Object-Oriented Programming

Python 3 Object-Oriented Programming

4.3 (30)
By: Dusty Phillips

Overview of this book

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.
Table of Contents (15 chapters)
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Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
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Free Chapter
1
Object-Oriented Design
Object-Oriented Design
Introducing object-oriented
Objects and classes
Specifying attributes and behaviors
Hiding details and creating the public interface
Composition
Inheritance
Case study
Exercises
Summary
2
Objects in Python
Objects in Python
Creating Python classes
Modules and packages
Organizing module content
Who can access my data?
Third-party libraries
Case study
Exercises
Summary
3
When Objects Are Alike
When Objects Are Alike
Basic inheritance
Multiple inheritance
Polymorphism
Abstract base classes
Case study
Exercises
Summary
4
Expecting the Unexpected
Expecting the Unexpected
Raising exceptions
Case study
Exercises
Summary
5
When to Use Object-Oriented Programming
When to Use Object-Oriented Programming
Treat objects as objects
Adding behaviors to class data with properties
Manager objects
Case study
Exercises
Summary
6
Python Data Structures
Python Data Structures
Empty objects
Tuples and named tuples
Dataclasses
Dictionaries
Lists
Sets
Extending built-in functions
Case study
Exercises
Summary
7
Python Object-Oriented Shortcuts
Python Object-Oriented Shortcuts
Python built-in functions
An alternative to method overloading
Functions are objects too
Case study
Exercises
Summary
8
Strings and Serialization
Strings and Serialization
Strings
Regular expressions
Filesystem paths
Serializing objects
Case study
Exercises
Summary
9
The Iterator Pattern
The Iterator Pattern
Design patterns in brief
Iterators
Comprehensions
Generators
Coroutines
Case study
Exercises
Summary
10
Python Design Patterns I
Python Design Patterns I
The decorator pattern
The observer pattern
The strategy pattern
The state pattern
The singleton pattern
The template pattern
Exercises
Summary
11
Python Design Patterns II
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Python Design Patterns II
The adapter pattern
The facade pattern
The flyweight pattern
The command pattern
The abstract factory pattern
The composite pattern
Exercises
Summary
12
Testing Object-Oriented Programs
Testing Object-Oriented Programs
Why test?
Unit testing
Testing with pytest
Imitating expensive objects
How much testing is enough?
Case study
Exercises
Summary
13
Concurrency
Concurrency
Threads
Multiprocessing
Futures
AsyncIO
Case study
Exercises
Summary
14
Other Books You May Enjoy
Other Books You May Enjoy
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The abstract factory pattern

The abstract factory pattern is normally used when we have multiple possible implementations of a system that depend on some configuration or platform issue. The calling code requests an object from the abstract factory, not knowing exactly what class of object will be returned. The underlying implementation returned may depend on a variety of factors, such as current locale, operating system, or local configuration.

Common examples of the abstract factory pattern include code for operating-system-independent toolkits, database backends, and country-specific formatters or calculators. An operating-system-independent GUI toolkit might use an abstract factory pattern that returns a set of WinForm widgets under Windows, Cocoa widgets under Mac, GTK widgets under Gnome, and QT widgets under KDE. Django provides an abstract factory that returns a set of...

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