Python 3 Object Oriented Programming by Phillips, Dusty -- Read -- Imperial Library of Trantor

Index

Python 3 Object Oriented Programming

Python 3 Object Oriented Programming Credits About the Author About the Reviewers Preface

What this book covers What you need for this book Who this book is for Conventions Reader feedback Customer support

Errata Piracy Questions

1. Object-oriented Design

Object-oriented? Objects and classes Specifying attributes and behaviors

Data describes objects Behaviors are actions

Hiding details and creating the public interface Composition and inheritance

Inheritance

Inheritance provides abstraction Multiple inheritance

Case study Exercises Summary

2. Objects in Python

Creating Python classes

Adding attributes Making it do something Initializing the object Explaining yourself

Modules and packages

Organizing the modules

Absolute imports Relative imports

Who can access my data? Case study Exercises Summary

3. When Objects are Alike

Basic inheritance

Extending built-ins Overriding and super

Multiple inheritance

The diamond problem Different sets of arguments

Polymorphism Case study Exercises Summary

4. Expecting the Unexpected

Raising exceptions

Raising an exception What happens when an exception occurs?

Handling exceptions Exception hierarchy

Defining our own exceptions

Exceptions aren't exceptional Case study Exercises Summary

5. When to Use Object-oriented Programming

Treat objects as objects Using properties to add behavior to class data

How it works Decorators: another way to create properties When should we use properties?

Managing objects

Removing duplicate code In practice Or we can use composition

Case study Exercises Summary

6. Python Data Structures

Empty objects Tuples and named tuples

Named tuples

Dictionaries

When should we use dictionaries? Using defaultdict

Lists

Sorting lists

Sets Extending built-ins Case study Exercises Summary

7. Python Object-oriented Shortcuts

Python built-in functions

Len Reversed Enumerate Zip Other functions

Comprehensions

List comprehensions Set and dictionary comprehensions Generator expressions

Generators An alternative to method overloading

Default arguments Variable argument lists Unpacking arguments

Functions are objects too

Using functions as attributes Callable objects

Case study Exercises Summary

8. Python Design Patterns I

Design patterns Decorator pattern

Decorator example Decorators in Python

Observer pattern

Observer example

Strategy pattern

Strategy example Strategy in Python

State pattern

State example State versus strategy

Singleton pattern

Singleton implementation Module variables can mimic singletons

Template pattern

Template example

Exercises Summary

9. Python Design Patterns II

Adapter pattern Facade pattern Flyweight pattern Command pattern Abstract factory pattern Composite pattern Exercises Summary

10. Files and Strings

Strings

String manipulation String formatting

Escaping braces Keyword arguments Container lookups Object lookups Making it look right

Strings are Unicode

Converting bytes to text Converting text to bytes

Mutable byte strings

File IO

Placing it in context Faking files

Storing objects

Customizing pickles Serializing web objects

Exercises Summary

11. Testing Object-oriented Programs

Why test?

Test-driven development

Unit testing

Assertion methods

Additional assertion methods in Python 3.1

Reducing boilerplate and cleaning up Organizing and running tests Ignoring broken tests

Testing with py.test

One way to do setup and cleanup A completely different way to set up variables Test skipping with py.test py.test extras

How much testing is enough? Case Study

Implementing it

Exercises Summary

12. Common Python 3 Libraries

Database access

Introducing SQLAlchemy

Adding and querying objects SQL Expression Language

Pretty user interfaces

TkInter PyQt Choosing a GUI toolkit

XML

ElementTree

Constructing XML documents

lxml

CherryPy

A full web stack?

Jinja Templating The CherryPy blog web application

Exercises Summary

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