My React Journey: Day 16

Functional Programming
Functional programming focuses on using functions that avoid shared states, mutable data, and side effects. It emphasizes pure functions and operations like map, filter, and reduce for clean, concise, and predictable code.

Core Functions of Functional Programming
1.map()

• Transforms each element in an array using a callback function and returns a new array.
• Syntax: array.map(callback) Examples:

Squares and Cubes

const numbers = [1, 2, 3, 4, 5];

function square(element) {
    return Math.pow(element, 2);
}

function cube(element) {
    return Math.pow(element, 3);
}

const squares = numbers.map(square);
const cubes = numbers.map(cube);

console.log(squares); // [1, 4, 9, 16, 25]
console.log(cubes);   // [1, 8, 27, 64, 125]

Formatting Dates

const dates = ["2024-1-10", "2025-2-20", "2026-3-30"];

function formatDate(element) {
    const parts = element.split("-");
    return `${parts[1]}/${parts[2]}/${parts[0]}`;
}

const formattedDates = dates.map(formatDate);
console.log(formattedDates); // ['1/10/2024', '2/20/2025', '3/30/2026']

2.filter()

• Creates a new array by filtering out elements that don't satisfy a given condition (callback).
• Syntax: array.filter(callback) Examples:

Even and Odd Numbers

const numbers = [1, 2, 3, 4, 5, 6, 7];

function isEven(element) {
    return element % 2 === 0;
}

function isOdd(element) {
    return element % 2 !== 0;
}

const evenNums = numbers.filter(isEven);
const oddNums = numbers.filter(isOdd);

console.log(evenNums); // [2, 4, 6]
console.log(oddNums);  // [1, 3, 5, 7]

Filter Adults (Age >= 18)

const ages = [16, 17, 18, 18, 19, 20, 60];

function isAdult(element) {
    return element >= 18;
}

const adults = ages.filter(isAdult);
console.log(adults); // [18, 18, 19, 20, 60]

3.reduce()

• Reduces the array to a single value by applying a callback function iteratively.
• Syntax: array.reduce(callback, initialValue) Examples:

Sum of Prices

const prices = [5, 30, 10, 25, 15, 20];

function sum(previous, next) {
    return previous + next;
}

const total = prices.reduce(sum);
console.log(`$${total.toFixed(2)}`); // $105.00

Find Maximum Grade

const grades = [75, 50, 90, 80, 65, 95];

function getMax(accumulator, element) {
    return Math.max(accumulator, element);
}

const maximum = grades.reduce(getMax);
console.log(maximum); // 95

Reflection
What I Learned:

• How to transform arrays using map.
• Filtering arrays based on conditions using filter.
• Reducing arrays to a single value (sum, maximum) using reduce.

I'm loving this growth.