# Bubble Sort Algorithm in Python

[10227 views]

Bubble Sort is an algorithm which is used to sort a list of elements, for example elements in an array. The algorithm compares two adjacent elements and then swaps them if they are not in order.

The process is repeated until no more swapping is needed. For example:
Let's take the following array: [3, 1, 5, 2]
Step 1: [1, 3, 5, 2] - the first two elements are compared and swapped.
Step 2: [1, 3, 5, 2] - the next pair is compared and not swapped, as they are in order.
Step 3: [1, 3, 2, 5] - the last two elements are swapped.

This was the first iteration over the array. Now we need to start the second iteration:
Step 1: [1, 3, 2, 5]
Step 2: [1, 2, 3, 5]
Step 3: [1, 2, 3, 5]

The algorithm is called Bubble Sort, because with each iteration the smallest element in the list bubbles up to the top, just like a water bubble rises up to the water surface.

The third iteration will not swap any elements, meaning that the list is sorted!

The main advantage of Bubble Sort is the simplicity of the algorithm. Also, it does not require any additional storage space, as it operates in-place.

In terms of complexity, bubble sort is considered to be not optimal, as it required multiple iterations over the array. In the worst scenario, where all elements need to be swapped, it will require (n-1)+(n-2)+(n-3)+...+3+2+1 = n(n-1)/2 swaps (n is the number of elements).

def bubble_sort(lst): #max no. of swaps is n(n-1)/2 sorted = False length = len(lst) -1 #since we'll be testing lst[i+1] while not sorted: sorted = True for i in range(length): if lst[i] > lst[i+1]: sorted = False lst[i], lst[i+1] = lst[i+1], lst[i] return lst lst = [1,3,-2,70,9] print(bubble_sort(lst))
Complexity:
• Worst-case: O(n2)
• Best-case: O(n)
• Average Performance: O(n2)