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

Testing with py.test

The Python unittest module is very verbose and requires a lot of boilerplate code to set up and initialize tests. It is based on the very popular JUnit testing framework for Java. It even uses the same method names (you may have noticed they don't conform to the PEP-8 naming standard, which suggests underscores be used to separate words in a method name, rather than CamelCase) and test layout. While this is effective for testing in Java, it's not necessarily the best design for Python testing.

Because Python programmers like their code to be elegant and simple, other test frameworks have been developed, outside the standard library. Two of the more popular ones are py.test and nose. The latter is not yet supported on Python 3, so we'll focus on py.test here.

Since py.test is not part of the standard library, you'll need to download and install it yourself; you can get it from the py.test homepage at http://pytest.org/. The website has comprehensive installation instructions...

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