What is Functional Programming?
Functional programming emphasizes pure functions and immutability, making code more predictable and easier to test.
Functional programming is a programming style that treats computation as evaluating mathematical functions. Instead of changing data (mutating), you create new data. Think of it like math: f(x) = x + 1 doesn't change x, it produces a new value.
Core Principles:
- Pure functions: Same input always gives same output, no side effects
- Immutability: Don't modify data, create new versions
- First-class functions: Functions are values you can pass around
- Higher-order functions: Functions that take or return functions
Benefits:
- Predictable: Easier to reason about and test
- Parallelizable: No shared mutable state
- Composable: Build complex functions from simple ones
- Fewer bugs: Immutability prevents accidental changes
Common Patterns:
- Map: Transform each element
- Filter: Keep elements that match criteria
- Reduce: Combine elements into one value
FAQ
What languages support functional programming?
Pure functional: Haskell, Elm. Multi-paradigm: JavaScript, Python, Scala, F#, Clojure. Most modern languages have functional features.
Is functional programming better than OOP?
Neither is universally better. Functional is great for data transformations and avoiding bugs. OOP is great for modeling real-world entities.