Python 3 Object Oriented Programming. If you feel it’s time you learned object-oriented programming techniques, this is the perfect book for you. Clearly written with practical exercises, it’s the painless way to learn how to harness the power of OOP in Python

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• Python 3 Object Oriented Programming
  • Table of Contents
  • 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 arent 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
  • Index

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