Want to make your JavaScript functions faster? In this tutorial, you’ll learn how to memoize a function in JavaScript to cache previously computed results and improve performance — especially in recursive or heavy-calculation functions.
Memoization is a powerful technique in functional programming that helps avoid repeated work by storing results in memory. We’ll walk through simple examples like Fibonacci and real-world use cases where memoization makes a difference.
In this video, you’ll learn:
What is memoization in JavaScript?
How to memoize a function using closures and objects
Real example: Memoizing a Fibonacci function
How memoization improves performance
Differences between memoization and caching
Bonus: When and when not to use memoization
Perfect for JavaScript learners, intermediate developers, and anyone preparing for coding interviews, frontend optimization, or algorithm challenges.
Check out the full JavaScript Playlist for more tips on writing efficient and clean code.
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