QuickSort Animation on Randomly Distributed Points: A Visual Example

We illustrate how the Quick sort algorithm progresses as it sorts out the array using a pivot element. Considered scenarios are arrays with randomly distributed numbers as well as sorted in reverse order array. Python matplotlib has been used for the visualization.

0:00 Set 1
1:20 Set 2
2:20 Set 3
3:27 Set 4 - reverse sorted
4:14 Set 5
5:09 Set 6 - reverse sorted

Quick sort is an efficient sorting algorithm that uses a divide-and-conquer approach to sort a list of items. It works by selecting a pivot element from the list and then partitioning the other elements into two groups: those that are less than the pivot and those that are greater than the pivot. The algorithm then recursively sorts the two partitions, resulting in a fully sorted list. Quick sort is a popular algorithm because it has a relatively low average-case time complexity and can be implemented in-place, meaning it does not require additional memory to perform the sorting.

#quicksort #algorithm #sortinganimation

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[meyavuz]

Quick sort for randomly distributed points: @3SU4

[bryanperf]

Very cool! I'm impressed you were able to make a visualization of this quality with Matplotlib. Do you have a github repo with the source code?