Functional programming is a programming paradigm that treats computation as the evaluation of mathematical functions and avoids changing state or mutable data. Here's a quick guide to get started:
Key Concepts 🧠
- Pure Functions: Output depends solely on inputs (e.g.,
add(x, y) = x + y)Pure_Function - Immutability: Data remains unchanged after creation
- Recursion: Repeating operations without loops
- Higher-Order Functions: Functions that take other functions as arguments
Benefits ✅
- Easier debugging due to predictable behavior
- Better support for concurrency
- Simplified testing with no side effects
- Declarative style improves readability
Example in Haskell 🐱
-- Map example: Square numbers
map (\x -> x^2) [1,2,3,4] -- Output: [1,4,9,16]
Haskell_Logo
Popular Languages 🌐
| Language | FP Features |
|---|---|
| Haskell | Strongly typed, pure by default |
| Scala | Mixes FP and OOP |
| Lisp | Historical roots in FP |
| Erlang | Concurrent, message-passing |
Learn More 🚀
Explore FP in JavaScript
Compare FP vs OOP
Functional_Programming