- Copyright
- Welcome to Python!
- Acknowledgements
- Core Python
- Welcome to Python!
- Getting Started
- Program Output, the print Statement, and “Hello World!”
- Program Input and the raw_input() Built-in Function
- Comments
- Operators
- Variables and Assignment
- Numbers
- Strings
- Lists and Tuples
- Dictionaries
- Code Blocks Use Indentation
- if Statement
- while Loop
- for Loop and the range() Built-in Function
- Files and the open() Built-in Function
- Errors and Exceptions
- Functions
- Classes
- Modules
- Exercises
- Syntax and Style
- Python Objects
- Numbers
- Sequences: Strings, Lists, and Tuples
- Sequences
- Strings
- Strings and Operators
- String-only Operators
- Built-in Functions
- String Built-in Methods
- Special Features of Strings
- Related Modules
- Summary of String Highlights
- Lists
- Built-in Functions
- List Type Built-in Methods
- Special Features of Lists
- Tuples
- Tuple Operators and Built-in Functions
- Special Features of Tuples
- Related Modules
- *Shallow and Deep Copies
- Exercises
- Dictionaries
- Conditionals and Loops
- Files and Input/Output
- Errors And Exceptions
- Functions
- What Are Functions?
- Calling Functions
- Creating Functions
- Passing Functions
- Formal Arguments
- Positional Arguments
- Default Arguments
- Why Default Arguments?
- Default Function Object Argument Example
- Variable-length Arguments
- Non-keyword Variable Arguments (Tuple)
- Keyword Variable Arguments (Dictionary)
- Calling Functions with Variable Argument Objects
- Functional Programming
- Anonymous Functions and lambda
- Built-in Functions: apply(), filter(), map(), reduce()
- *apply()
- Lines 1 - 4
- Lines 6 - 7
- Lines 9 - 28
- Lines 30-41
- filter()
- map()
- reduce()
- Variable Scope
- *Recursion
- Exercises
- Modules
- Classes and OOP
- Introduction
- Object-oriented Programming
- Classes
- Class Attributes
- Instances
- Instance Attributes
- Binding and Method Invocation
- Composition
- Subclassing and Derivation
- Inheritance
- Built-in Functions for Classes, Instances, and Other Objects
- Type vs. Classes/Instances
- Customizing Classes with Special Methods
- Privacy
- Delegation
- Related Modules and Documentation
- Exercises
- Execution Environment
- Advanced Topics
- Answers to Selected Exercises
- Other Reading and References
- Python Operator Summary
- What's New in Python 2.0?
11.7. Functional Programming
Python is not and will probably not ever claim to be a functional programming language, but it does support a number of valuable functional programming constructs. There are also some which behave like functional programming mechanisms but may not be traditionally considered as such. What Python does provide comes in the form of four built-in functions and lambda expressions.
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