Python 3 Patterns, Recipes and Idioms

• Contributors
  • Thanks To
• ToDo List
• The remainder are from context, from the book.
• A Note To Readers
• Introduction
  • A Team Effort
  • Not an Introductory Book
  • The License
  • The Printed Book
  • Translations
  • My Motives
• Teaching Support
• Book Development Rules
  • Contribute What You Can
  • Don’t Get Attached
  • Credit
  • Mechanics
  • Diagrams
• Developer Guide
  • Getting Started: The Easiest Approach
  • For Windows Users
  • Installing Sphinx
  • Getting the Development Branch of the Book
  • Building the Book
  • Building the PDF
  • Setting up Mercurial
  • Working with BitBucket and Mercurial
  • A Simple Overview Of Editing and Merging
  • Emacs for Editing Restructured Text
• Part I: Foundations
• Python for Programmers
  • Scripting vs. Programming
  • Built-In Containers
  • Functions
  • Strings
  • Classes
    • Inheritance
  • Useful Techniques
  • Further Reading
• Initialization and Cleanup
  • Initialization
    • Constructor Calls
    • __new__() vs. __init__()
    • Static Fields
  • Cleanup
  • Further Reading
• Unit Testing & Test-Driven Development
  • Write Tests First
  • Simple Python Testing
  • A Very Simple Framework
  • Writing Tests
  • White-Box & Black-Box Tests
  • Running tests
  • Automatically Executing Tests
  • Exercises
• Python 3 Language Changes
• Decorators
  • Decorators vs. the Decorator Pattern
  • History of Macros
  • The Goal of Macros
  • What Can You Do With Decorators?
  • Function Decorators
  • Slightly More Useful
  • Using Functions as Decorators
  • Review: Decorators without Arguments
  • Decorators with Arguments
  • Decorator Functions with Decorator Arguments
  • Further Reading
• Generators, Iterators, and Itertools
• Comprehensions
  • List Comprehensions
  • Nested Comprehensions
  • Techniques
  • A More Complex Example
  • Set Comprehensions
  • Dictionary Comprehensions
• Coroutines, Concurrency & Distributed Systems
  • Multiprocessing
  • Further Reading
• Metaclasses
  • Basic Metaclasses
  • The Metaclass Hook
    • The Metaclass Hook in Python 3
  • Example: Self-Registration of Subclasses
    • Using Class Decorators
    • Using the inspect module
  • Example: Making a Class “Final”
  • Using __init__ vs. __new__ in Metaclasses
  • Class Methods and Metamethods
    • Intercepting Class Creation
    • A Class Decorator Singleton
  • The __prepare__() Metamethod
  • Module-level __metaclass__ Assignment
  • Metaclass Conflicts
  • Further Reading
• Jython
  • Installation
    • Getting the Trunk
  • Scripting
  • Interpreter Motivation
    • Creating a Language
  • Using Java libraries
    • Inheriting from Java library Classes
  • Controlling Java from Jython
    • Inner Classes
  • Controlling the Interpreter
    • Putting Data In
    • Getting Data Out
    • Multiple Interpreters
  • Creating Java classes with Jython
    • Building Java Classes from Python
  • Summary
  • Exercises
• Part II: Idioms
• Discovering the Details About Your Platform
• A Canonical Form for Command-Line Programs
• Messenger/Data Transfer Object
• Part III: Patterns
• The Pattern Concept
  • What is a Pattern?
  • Classifying Patterns
  • Pattern Taxonomy
  • Design Structures
  • Design Principles
  • Further Reading
• The Singleton
  • Exercises
• Building Application Frameworks
  • Template Method
  • Exercises
• Fronting for an Implementation
  • Proxy
  • State
• StateMachine
  • Table-Driven State Machine
    • The State Class
    • Conditions for Transition
    • Transition Actions
    • The Table
    • The Basic Machine
    • Simple Vending Machine
    • Testing the Machine
  • Tools
  • Exercises
• Decorator: Dynamic Type Selection
  • Basic Decorator Structure
  • A Coffee Example
  • Class for Each Combination
  • The Decorator Approach
  • Compromise
  • Other Considerations
  • Further Reading
  • Exercises
• Iterators: Decoupling Algorithms from Containers
  • Type-Safe Iterators
• Factory: Encapsulating Object Creation
  • Simple Factory Method
    • Preventing direct creation
  • Polymorphic Factories
  • Abstract Factories
  • Exercises
• Function Objects
  • Command: Choosing the Operation at Runtime
  • Strategy: Choosing the Algorithm at Runtime
  • Chain of Responsibility
  • Exercises
• Changing the Interface
  • Adapter
  • Façade
  • Exercises
• Table-Driven Code: Configuration Flexibility
  • Table-Driven Code Using Anonymous Inner Classes
• Observer
  • Observing Flowers
    • A Visual Example of Observers
    • Exercises
• Multiple Dispatching
• Visitor
  • Exercises
• Pattern Refactoring
  • Simulating the Trash Recycler
  • Improving the Design
    • “Make More Objects”
  • A Pattern for Prototyping Creation
    • Trash Subclasses
    • Parsing Trash from an External File
    • Recycling with Prototyping
  • Abstracting Usage
  • Multiple Dispatching
    • Implementing the Double Dispatch
  • The Visitor Pattern
    • A Reflective Decorator
    • More Coupling?
  • RTTI Considered Harmful?
  • Summary
  • Exercises
• Projects
  • Rats & Mazes
    • Other Maze Resources

Indices and tables

• Index
• Search Page