Bubble Sort Vs Quick Sort

Bubble Sort is a simple sorting algorithm that repeatedly steps through the list, compares adjacent elements, and swaps them if they are in the wrong order. The process is repeated until the list is sorted. This algorithm gets its name from the way smaller elements 'bubble' to the top of the list. While easy to understand and implement, Bubble Sort is inefficient on large datasets, with a time complexity of O(n^2) in the average and worst cases.

Quick Sort is a more advanced, efficient sorting algorithm that follows the divide-and-conquer principle. It works by selecting a 'pivot' element from the array and partitioning the other elements into two sub-arrays according to whether they are less than or greater than the pivot. The sub-arrays are then sorted recursively. Quick Sort has an average-case time complexity of O(n log n), making it faster than many other sorting algorithms for large datasets, although its worst-case time complexity can degrade to O(n^2) if the pivot elements are poorly chosen.