No, this video is not about Ruby, Python, JavaScript, etc. Dynamic programming is a way to solve a problem using an algorithm in a fairly prescribed way. It sounds complicated, but itโs anything but.

Dynamic programming gives us a way to elegantly create algorithms for various problems and can greatly improve the way you solve problems in your daily work. It can also help you ace an interview.

You knew Fibonacci was going to come up in this book at some point didnโt you! Well, here it is. Iโm using it here because itโs the simplest way to convey the dynamic programming process. Also: you will be asked how to solve Fibonacci at some point in your career, and youโre about to get three different approaches!

Which leads right to a great opening point: our jobs are about solving problems. When you go to these interviews, they mostly want to see how you would go about solving something complex. As it turns out, the Interviewing For Dummies book says that Fibonacci is a great question for just that case.

```
//Fibonacci with Dynamic Programming
const calculateFibAt = (n) =>{
var memoTable = [0,1];
for(var i=2;i<=n;i++){
memoTable.push(memoTable[i-2] + memoTable[i-1])
}
return memoTable;
};
console.log(calculateFibAt(1000));
//slow, recursive way
const fibSlow = n => n < 2 ? n : fibSlow(n-2) + fibSlow(n-1);
console.log(fibSlow(10));
```