JavaScript Memoization for Performance Optimization

🚀 Day 18/100 – Understanding Memoization in JavaScript Today I explored a powerful optimization technique in JavaScript: Memoization. Memoization helps improve performance by caching the result of expensive function calls and returning the cached result when the same inputs occur again. 🧠 Problem: How can we avoid recalculating the same function result multiple times? ✅ Example: function memoize(fn) { const cache = {}; return function (...args) { const key = JSON.stringify(args); if (cache[key]) { console.log("From cache"); return cache[key]; } console.log("Calculated"); const result = fn(...args); cache[key] = result; return result; }; } function slowSquare(n) { return n * n; } const memoizedSquare = memoize(slowSquare); console.log(memoizedSquare(5)); console.log(memoizedSquare(5)); ✅ Output: Calculated 25 From cache 25 💡 Key Learnings: • Memoization stores previously computed results • Prevents unnecessary recalculations • Improves performance in expensive operations • Widely used in optimization techniques 📌 Real World Usage: Memoization concepts are used in: • React performance optimization (useMemo) • Dynamic programming algorithms • Expensive computations • Caching API results I’m currently open to Frontend Developer opportunities (React / Next.js) and available for immediate joining. 📩 Email: bantykumar13365@gmail.com 📱 Mobile: 7417401815 If you're hiring or know someone who is, I’d love to connect. #OpenToWork #FrontendDeveloper #JavaScript #ReactJS #NextJS #ImmediateJoiner #100DaysOfCode

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