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SortingAlgorithmVisualization

A place for me to learn about sorting algorithms.

Getting started

  1. Install python on your machine.
  2. Install pygame by running this command: pip install pygame.
  3. Navigate to the folder at which main.py is located.
  4. In your terminal run python main.py <sortingAlgorithm>

How to navigate the GUI

To increase the number of elements in the array press the .
To decrease the number of elements in the array press the .
To increase the sorting speed press the .
to decrease the sorting speed press the .

Implemented sorting algorithms

Counting Sort is a good algorithm for lists with small positive integer
Speed: O(n+k)
n is number of elements in the array. k is range of possible numbers in the array.

Bubble Sort a simple inefficient sorting algorithms. Works with any float or integer
Speed: Speed: O(n²)
n is number of elements in the array.

Quick Sort is a divide and conquer sorting algorithm.
Speed: O(n log n)
n is number of elements in the array.

Merge Sort is a divide and conquer sorting algorithm.
Speed: O(n log n)
n is number of elements in the array.

Comb Sort is an imporvement on Bubble Sort.
Speed: O(n² / 2p)
n is number of elements in the array.
p is number of increments.

Shell Sort is an in place compirason sort.
Speed: Worst: O(n²)
Best: O(n log n)
n is number of elements in the array.

Selection Sort is an in place comparison sorting algorithms.
Speed: O(n²)
n is number of elements in the array

Cocktail Sort is a variation of Bubble sort.
Speed: O(n²)
n is number of elements in the array

Gnome Sort (dubbed stupid sort) is a sorting algorithm originally proposed by Iranian computer scientist Hamid Sarbazi-Azad.
Speed: O(n²)
n is number of elements in the array

Stooge Sort is very slow recusrive sorting algorithm. Speed: O(n2.709) n is number of elements in the array

Bogo Sort is made as a joke. It works by shuffling the list until it is sorted.
Speed: O((n + 1)!)
n is number of elements in the array.

About

A sorting algorithm visualizer made in python.

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