- Dedication
- A Note Regarding Supplemental Files
- Preface
- I. Getting Started
- 1. A Python Q&A Session
- Why Do People Use Python?
- Is Python a “Scripting Language”?
- OK, but What’s the Downside?
- Who Uses Python Today?
- What Can I Do with Python?
- How Is Python Supported?
- What Are Python’s Technical Strengths?
- How Does Python Stack Up to Language X?
- Chapter Summary
- Test Your Knowledge: Quiz
- Test Your Knowledge: Answers
- 2. How Python Runs Programs
- 3. How You Run Programs
- The Interactive Prompt
- System Command Lines and Files
- Clicking File Icons
- Module Imports and Reloads
- Using exec to Run Module Files
- The IDLE User Interface
- Other IDEs
- Other Launch Options
- Which Option Should I Use?
- Chapter Summary
- Test Your Knowledge: Quiz
- Test Your Knowledge: Answers
- Test Your Knowledge: Part I Exercises
- 1. A Python Q&A Session
- II. Types and Operations
- 4. Introducing Python Object Types
- 5. Numeric Types
- Numeric Type Basics
- Numbers in Action
- Other Numeric Types
- Numeric Extensions
- Chapter Summary
- Test Your Knowledge: Quiz
- Test Your Knowledge: Answers
- 6. The Dynamic Typing Interlude
- 7. Strings
- 8. Lists and Dictionaries
- Lists
- Lists in Action
- Dictionaries
- Dictionaries in Action
- Chapter Summary
- Test Your Knowledge: Quiz
- Test Your Knowledge: Answers
- 9. Tuples, Files, and Everything Else
- III. Statements and Syntax
- 10. Introducing Python Statements
- 11. Assignments, Expressions, and Prints
- 12. if Tests and Syntax Rules
- 13. while and for Loops
- 14. Iterations and Comprehensions, Part 1
- 15. The Documentation Interlude
- IV. Functions
- 16. Function Basics
- 17. Scopes
- 18. Arguments
- Argument-Passing Basics
- Special Argument-Matching Modes
- The min Wakeup Call!
- Generalized Set Functions
- Emulating the Python 3.0 print Function
- Chapter Summary
- Test Your Knowledge: Quiz
- Test Your Knowledge: Answers
- 19. Advanced Function Topics
- 20. Iterations and Comprehensions, Part 2
- List Comprehensions Revisited: Functional Tools
- Iterators Revisited: Generators
- 3.0 Comprehension Syntax Summary
- Timing Iteration Alternatives
- Function Gotchas
- Chapter Summary
- Test Your Knowledge: Quiz
- Test Your Knowledge: Answers
- Test Your Knowledge: Part IV Exercises
- V. Modules
- 21. Modules: The Big Picture
- 22. Module Coding Basics
- 23. Module Packages
- Package Import Basics
- Package Import Example
- Why Use Package Imports?
- Package Relative Imports
- Chapter Summary
- Test Your Knowledge: Quiz
- Test Your Knowledge: Answers
- 24. Advanced Module Topics
- Data Hiding in Modules
- Enabling Future Language Features
- Mixed Usage Modes: __name__ and __main__
- Changing the Module Search Path
- The as Extension for import and from
- Modules Are Objects: Metaprograms
- Importing Modules by Name String
- Transitive Module Reloads
- Module Design Concepts
- Module Gotchas
- Chapter Summary
- Test Your Knowledge: Quiz
- Test Your Knowledge: Answers
- Test Your Knowledge: Part V Exercises
- VI. Classes and OOP
- 25. OOP: The Big Picture
- 26. Class Coding Basics
- 27. A More Realistic Example
- Step 1: Making Instances
- Step 2: Adding Behavior Methods
- Step 3: Operator Overloading
- Step 4: Customizing Behavior by Subclassing
- Step 5: Customizing Constructors, Too
- Step 6: Using Introspection Tools
- Step 7 (Final): Storing Objects in a Database
- Future Directions
- Chapter Summary
- Test Your Knowledge: Quiz
- Test Your Knowledge: Answers
- 28. Class Coding Details
- 29. Operator Overloading
- The Basics
- Indexing and Slicing: __getitem__ and __setitem__
- Index Iteration: __getitem__
- Iterator Objects: __iter__ and __next__
- Membership: __contains__, __iter__, and __getitem__
- Attribute Reference: __getattr__ and __setattr__
- String Representation: __repr__ and __str__
- Right-Side and In-Place Addition: __radd__ and __iadd__
- Call Expressions: __call__
- Comparisons: __lt__, __gt__, and Others
- Boolean Tests: __bool__ and __len__
- Object Destruction: __del__
- Chapter Summary
- Test Your Knowledge: Quiz
- Test Your Knowledge: Answers
- 30. Designing with Classes
- Python and OOP
- OOP and Inheritance: “Is-a” Relationships
- OOP and Composition: “Has-a” Relationships
- OOP and Delegation: “Wrapper” Objects
- Pseudoprivate Class Attributes
- Methods Are Objects: Bound or Unbound
- Multiple Inheritance: “Mix-in” Classes
- Classes Are Objects: Generic Object Factories
- Other Design-Related Topics
- Chapter Summary
- Test Your Knowledge: Quiz
- Test Your Knowledge: Answers
- 31. Advanced Class Topics
- VII. Exceptions and Tools
- 32. Exception Basics
- 33. Exception Coding Details
- 34. Exception Objects
- 35. Designing with Exceptions
- VIII. Advanced Topics
- 36. Unicode and Byte Strings
- String Changes in 3.0
- String Basics
- Python 3.0 Strings in Action
- Coding Unicode Strings
- Using 3.0 Bytes Objects
- Using 3.0 (and 2.6) bytearray Objects
- Using Text and Binary Files
- Using Unicode Files
- Other String Tool Changes in 3.0
- Chapter Summary
- Test Your Knowledge: Quiz
- Test Your Knowledge: Answers
- 37. Managed Attributes
- 38. Decorators
- What’s a Decorator?
- The Basics
- Coding Function Decorators
- Coding Class Decorators
- Managing Functions and Classes Directly
- Example: “Private” and “Public” Attributes
- Example: Validating Function Arguments
- Chapter Summary
- Test Your Knowledge: Quiz
- Test Your Knowledge: Answers
- 39. Metaclasses
- 36. Unicode and Byte Strings
- IX. Appendixes
- Index
- About the Author
- Colophon
- Copyright
Part II. Types and Operations
-
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