Functional Programming with Python

Abstraction: Functional programming patterns in Python via slides and examples

Key points:

• Contrasts imperative style (mutable state, explicit loops) with functional style (map/filter/reduce transformations and compositions).
• Demonstrates Python's functools.partial for partial application and operator module for first-class function values.
• Shows currying and higher-order functions via fsum(f) pattern — a factory returning specialized sum functions (square sum, log sum, etc.) from a single generic function.
• Covers decorators as syntactic sugar for higher-order functions (e.g., a timer wrapper).
• Illustrates building OO-like constructs (classes with immutable bindings) purely from closures and functools.partial.
• Presented at UA PyCon 2012 by Alexey Kachayev; companion code at github.com/kachayev/talks.

Connections: Python · Functional Programming · Higher Order Functions · Currying · Partial Application

Source: http://kachayev.github.io/talks/uapycon2012/index.html#/17