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Embracing Functional Programming in Vanilla JavaScript

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Generated by
Abhishek Goyan

15/10/2024

functional programming

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Introduction to Functional Programming in JavaScript

Functional programming is a paradigm that treats computation as the evaluation of mathematical functions and avoids changing state and mutable data. While JavaScript isn't a purely functional language, it does support many functional programming concepts. Let's explore how we can apply these concepts in vanilla JavaScript to write more elegant and efficient code.

Pure Functions: The Building Blocks

Pure functions are the cornerstone of functional programming. They always produce the same output for the same input and have no side effects. Here's an example:

// Impure function let total = 0; function addToTotal(value) { total += value; return total; } // Pure function function add(a, b) { return a + b; }

The add function is pure because it always returns the same result for the same inputs and doesn't modify any external state.

Embracing Immutability

Immutability means that once a data structure is created, it cannot be changed. Instead of modifying existing data, we create new data structures. This leads to more predictable code:

// Mutable approach const numbers = [1, 2, 3]; numbers.push(4); // Modifies the original array // Immutable approach const numbers = [1, 2, 3]; const newNumbers = [...numbers, 4]; // Creates a new array

Higher-Order Functions: Functions as First-Class Citizens

Higher-order functions are functions that can take other functions as arguments or return functions. They're a powerful tool in functional programming:

// Higher-order function function multiplyBy(factor) { return function(number) { return number * factor; } } const double = multiplyBy(2); console.log(double(5)); // Output: 10

Function Composition: Building Complex Functions

Function composition is the process of combining two or more functions to create a new function. It's a way to build complex operations from simpler ones:

const add10 = (x) => x + 10; const multiply2 = (x) => x * 2; // Function composition const compose = (f, g) => (x) => f(g(x)); const add10ThenMultiply2 = compose(multiply2, add10); console.log(add10ThenMultiply2(5)); // Output: 30

Leveraging Array Methods for Functional Programming

JavaScript's array methods like map, filter, and reduce are excellent tools for functional programming:

const numbers = [1, 2, 3, 4, 5]; // Using map const doubled = numbers.map(x => x * 2); // Using filter const evens = numbers.filter(x => x % 2 === 0); // Using reduce const sum = numbers.reduce((acc, curr) => acc + curr, 0);

The Power of Currying

Currying is the technique of translating a function with multiple arguments into a sequence of functions, each with a single argument:

// Regular function function add(a, b, c) { return a + b + c; } // Curried function function curriedAdd(a) { return function(b) { return function(c) { return a + b + c; } } } console.log(curriedAdd(1)(2)(3)); // Output: 6

Conclusion

Incorporating functional programming concepts into your vanilla JavaScript can lead to more robust, maintainable, and easier-to-test code. By focusing on pure functions, immutability, and function composition, you can write cleaner code that's less prone to bugs and easier to reason about.

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