Powerful Python: Patterns and Strategies with Modern Python (Early Release)

Brief Table of Contents (Not Yet Final)
Preface
   Who This Book Is For
   The Two Levels Of Learning
   What You Will Learn
   What’s Not Covered
   Getting The Most Out Of This Book
1. Scaling With Generators
   Iteration in Python
   Generator Functions
   Generator Patterns and Scalable Composability
   Python is Filled With Iterators
   The Iterator Protocol
2. Creating Collections with Comprehensions
   List Comprehensions
   Formatting For Readability (And More)
   Multiple Sources and Filters
   Comprehensions and Generators
      Generator Expression or List Comprehension?
   Dictionaries, Sets, and Tuples
3. Advanced Functions
   Accepting & Passing Variable Arguments
   Functions As Objects
   Key Functions in Python
4. Decorators
   The Basic Decorator
   Data In Decorators
   Decorators That Take Arguments
   Class-based Decorators
   Decorators For Classes
5. Exceptions and Errors
   The Basic Idea
   Exceptions Are Objects
   Raising Exceptions
   Catching And Re-raising
   The Most Diabolical Python Anti-Pattern
6. Classes and Objects: Beyond The Basics
   Properties
      Properties and Refactoring
   The Factory Patterns
      Alternative Constructors: The Simple Factory
      Dynamic Type: The Factory Method Pattern
   The Observer Pattern
      The Simple Observer
      A Pythonic Refinement
      Several Channels
   Magic Methods
      Shortcut: functools.total_ordering
   Rebelliously Misusing Magic Methods
7. Automated Testing
   What is Test-Driven Development?
   Unit Tests And Simple Assertions
   Fixtures And Common Test Setup
   Asserting Exceptions
   Using Subtests
   Final Thoughts