Bubble Sort Explained

Algorithms | CS | Data Science on Instagram: "Explanation down below 👇 The logic is simple: it compares two items at a time and swaps them if they're in the wrong order. The largest elements "bubble up" to the end with each full pass. It's an "in-place" sort, so it doesn't require extra memory. But it's slow! Its worst and average time complexity is O(n2) (O n squared) because of the nested loop. The only best case is O(n) (O n), and that's if the list is already sorted and you use a special fl