Functional Programming (Currying, Monads, Functors)
Functional Programming in Modern JavaScript
Functional Programming (FP) treats computation as the evaluation of mathematical functions, avoiding mutable shared state and side effects. Beyond basic map and filter, advanced functional architecture relies on algebraic structures like Functors and Monads to handle errors, asynchronous tasks, and null values with declarative safety.
1. The Core FP Pillars
- 1Pure Functions: Same inputs always yield identical outputs; zero side effects.
- 2Immutability: Data structures are never mutated; transformations yield new copies.
- 3Referential Transparency: An expression can be replaced with its evaluated value without altering program behavior.
- 4First-Class & Higher-Order Functions: Functions can be passed, returned, and composed.
2. What is a Functor?
A Functor is simply an object or data structure that implements a map() method, satisfying two mathematical laws:
- Identity:
functor.map(x => x)is equivalent tofunctor. - Composition:
functor.map(x => f(g(x)))is equivalent tofunctor.map(g).map(f).
JavaScript Array is the most common native Functor:
The Container Functor (Identity Box):
3. What is a Monad? The Maybe Monad (Eliminating Null Checks)
A Monad is a specialized Functor that also implements a flatMap() (or chain()) method to unwrap nested structures (Box(Box(val)) -> Box(val)).
The Maybe Monad safely handles computations that may return null or undefined without throwing TypeError:
Eliminating Nested If-Statements with Maybe:
4. The Either Monad: Declarative Error Handling
Either represents values with two possibilities: Left(error) or Right(success). Computations map over Right, but short-circuit on Left:
Practice Quiz
Asynchronous Iterators & Reactive Streams
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Related Lessons
| Previous Lesson | Next Lesson |
|---|---|
| Metaprogramming in JavaScript | Asynchronous Iterators & Reactive Streams |
Practice Quiz
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