The document provides an overview of the quick sort algorithm through a step-by-step example. It explains that quick sort (1) divides an array into two sublists based on a pivot element, (2) recursively sorts the two sublists, and (3) combines the sorted sublists. The example shows how quick sort iterates through an array of numbers, swapping elements less than or greater than the pivot until the pivot is in its final sorted position, dividing the array into sublists. It concludes that quick sort generally has a runtime of O(n log n) but can be O(n^2) in the worst case if the pivot element is extremely unbalanced.