Book Image

Python 3 Object Oriented Programming

By : Dusty Phillips
Book Image

Python 3 Object Oriented Programming

By: Dusty Phillips

Overview of this book

Object Oriented Programming is a very important aspect of modern programming languages. The basic principles of Object Oriented Programming are relatively easy to learn. Putting them together into working designs can be challenging.This book makes programming more of a pleasure than a chore using powerful Python 3 object-oriented features of Python 3. It clearly demonstrates the core OOP principles and how to correctly implement OOP in Python. Object Oriented Programming ranks high in importance among the many models Python supports. Yet, many programmers never bother learning the powerful features that make this language object oriented.The book teaches when and how OOP should be correctly applied. It emphasizes not only the simple syntax of OOP in Python, but also how to combine these objects into well-designed software.This book will introduce you to the terminology of the object-oriented paradigm, focusing on object-oriented design with step-by-step examples. It will take you from simple inheritance, one of the most useful tools in the object-oriented programmer's toolbox, all the way through to cooperative inheritance, one of the most complicated. You will be able to raise, handle, define, and manipulate exceptions.You will be able to integrate the object-oriented and the not-so-object-oriented aspects of Python. You will also be able to create maintainable applications by studying higher level design patterns. 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 to you. You'll understand the joy of unit testing and just how easy they are to create. You'll even study higher level libraries such as database connectors and GUI toolkits and how they apply object-oriented principles.

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Python 3 Object Oriented Programming
Dusty Phillips
Jul, 2010 | 404 pages
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Table of Contents (18 chapters)
Python 3 Object Oriented Programming
Python 3 Object Oriented Programming
Credits
Credits
About the Author
About the Author
About the Reviewers
About the Reviewers
Preface
Preface
Free Chapter
1
Object-oriented Design
Object-oriented Design
Object-oriented?
Objects and classes
Specifying attributes and behaviors
Hiding details and creating the public interface
Composition and inheritance
Case study
Exercises
Summary
2
Objects in Python
Objects in Python
Creating Python classes
Modules and packages
Who can access my data?
Case study
Exercises
Summary
3
When Objects are Alike
When Objects are Alike
Basic inheritance
Multiple inheritance
Polymorphism
Case study
Exercises
Summary
4
Expecting the Unexpected
Expecting the Unexpected
Raising exceptions
Handling exceptions
Exception hierarchy
Exceptions aren't exceptional
Case study
Exercises
Summary
5
When to Use Object-oriented Programming
When to Use Object-oriented Programming
Treat objects as objects
Using properties to add behavior to class data
Managing objects
Case study
Exercises
Summary
6
Python Data Structures
Python Data Structures
Empty objects
Tuples and named tuples
Dictionaries
Lists
Sets
Extending built-ins
Case study
Exercises
Summary
7
Python Object-oriented Shortcuts
Python Object-oriented Shortcuts
Python built-in functions
Comprehensions
Generators
An alternative to method overloading
Functions are objects too
Case study
Exercises
Summary
8
Python Design Patterns I
Python Design Patterns I
Design patterns
Decorator pattern
Observer pattern
Strategy pattern
State pattern
Singleton pattern
Template pattern
Exercises
Summary
9
Python Design Patterns II
Python Design Patterns II
Adapter pattern
Facade pattern
Flyweight pattern
Command pattern
Abstract factory pattern
Composite pattern
Exercises
Summary
10
Files and Strings
Files and Strings
Strings
File IO
Storing objects
Exercises
Summary
11
Testing Object-oriented Programs
Testing Object-oriented Programs
Why test?
Unit testing
Testing with py.test
How much testing is enough?
Case Study
Exercises
Summary
12
Common Python 3 Libraries
Common Python 3 Libraries
Database access
Pretty user interfaces
XML
CherryPy
Exercises
Summary
Index
Index

About the Reviewers

Jason Chu is the CTO and part founder of Oprius Software Inc. He's developed software professionally for over 8 years. Chu started using Python in 2003 with version 2.2. When not developing personal or professional software, he spends his time teaching karate, playing go, and having fun in his hometown: Victoria, BC, Canada. You'll often find him out drinking the Back Hand of God Stout at Christie's Carriage House.

Michael Driscoll has been programming Python for almost 4 years and has dabbled in other languages since the late nineties. He graduated from university with a Bachelor's degree in Science, majoring in Management Information Systems. Michael enjoys programming for fun and profit. His hobbies include biblical apologetics, blogging about Python at http://www.blog.pythonlibrary.org/, and learning photography. Michael currently works for the local government where he programs with Python as much as possible. This is his first book as a technical reviewer.

I would like to thank my mom without whom I never would have grown to love learning as much as I do. I would also like to thank Scott Williams for forcing me to learn Python as, without him, I wouldn't have even known that the language existed. Most of all, I want to thank Jesus for saving me from myself.

Dan McGee is a software developer currently living in Chicago, Illinois. He has several years of experience working full-time in the Chicago area doing primarily Java web development; however, he has also been spotted working in a variety of other languages. Dan has also worked on a handful of freelance projects. In 2007, Dan became a developer for the Arch Linux distribution and has been doing various projects related to that since, including hacking on the package manager code, being a part-time system admin, and helping maintain and improve the website.

Lawrence Oluyede is a 26 years old software development expert in Python and web programming. He's glad that programming is going parallel and functional languages are becoming mainstream. He has been a co-author and reviewer for the first Ruby book in Italian (Ruby per applicazioni web) published by Apogeo. He has also contributed to other books in the past like the Python Cookbook (http://www.amazon.com/Python-Cookbook-Alex-Martelli/dp/0596007973/) and The Definitive Guide to Django (http://www.amazon.com/Definitive-Guide-Django-Development-Right/dp/1590597257).

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