Functional Programming
Categories: functional programming
This section covers topics on functional programming (FP) in Python. Here is a list of the articles.
Introduction
- Introduction to functional programming - an overview of functional programming in Python.
Iterators
- Iterators - an introduction to iterators, iterables and lazy evaluation.
- Iterators vs iterables - the difference between an iterable and an iterator.
- Built-in functions on iterables - an overview of the functions built in to Python for transforming, reducing and converting iterables.
- Transforming iterables - details of the built-in functions for transforming iterables - mao, filter, zip and others.
- Map/reduce example - a practical example of the map/reduce pattern.
- Generators - using generators to easily create your won iterators.
Functions
- Functions - how Python functions relate to functional programming.
- Pure functions - pure functions are a mainstay of functional programming, but what exactly is a pure function?
See also
- Introduction to Functional Programming
- Functions
- Pure functions
- Lambda functions
- Iterators
- Iterators vs iterables
- Built-in functions on iterables
- Transforming iterables
- Map/reduce example
- Generators
- Functional design patterns
- Recursion and the lru_cache in Python
- Partial application
- Closures
- Monads
- Failure monad
- List monad
- Maybe monad
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