Implementing a Quick Sort Algorithm

Implementing a Quick Sort Algorithm

Introduction

This tutorial will guide you through implementing a quick sort algorithm to sort an array of numbers.

Step 1: Define the Problem

We are given an array of numbers and we need to sort it in ascending order.

Step 2: Choose a Pivot Element

We will choose a pivot element from the array.

Step 3: Partition the Array

We will partition the array around the pivot element.

Step 4: Recursively Sort the Subarrays

We will recursively sort the subarrays on either side of the pivot element.

Step 5: Combine the Results

We will combine the results of the recursive calls to produce the final sorted array.

Example Code

def quick_sort(array):
    if len(array) <= 1:
        return array
    pivot = array[len(array) // 2]
    left = [x for x in array if x < pivot]
    middle = [x for x in array if x == pivot]
    right = [x for x in array if x > pivot]
    return quick_sort(left) + middle + quick_sort(right)
print(quick_sort([64, 34, 25, 12, 22, 11, 90]))  # Output: [11, 12, 22, 25, 34, 64, 90]

Conclusion

In this tutorial, we learned how to implement a quick sort algorithm to sort an array of numbers.