Functional programming in JavaScript heavily relies on closures and memory management behind the scenes, especially in methods like map, filter, and reduce.
Functions passed into map, filter, or reduce carry a 'memory' (closure) of the variables from the environment in which they were created.
Map creates a new array by applying a function to each item, maintaining access to variables via closures.
Filter tests and decides whether to keep items based on a function's result, benefitting from closure to hold onto external variables.
Reduce accumulates a single result by passing an accumulator through each step with closure maintaining outside values.
JavaScript's reference-based memory model for arrays and objects encourages immutability to avoid unexpected side effects.
Immutability involves creating new objects based on the original, preventing shared memory changes and enhancing data predictability.
Immutable patterns allow for safer data manipulation by controlling shared memory creation.
Functional programming concepts naturally align with closures, references, and immutability in JavaScript for cleaner and more predictable code.
By understanding these concepts, using map, filter, reduce, and immutable patterns becomes a natural and effective way of working in JavaScript.