Python: Sort unsorted numbers using Recursive Quick Sort

Python Search and Sorting : Exercise-28 with Solution

Write a Python program to sort unsorted numbers using Recursive Quick Sort.

Quicksort is a divide and conquer algorithm. It first divides the input array into two smaller sub-arrays: the low elements and the high elements. It then recursively sorts the sub-arrays.

Sample Solution:

Python Code:

def quick_sort(nums: list) -> list:
    if len(nums) <= 1:
        return nums
    else:
        return (
            quick_sort([el for el in nums[1:] if el <= nums[0]])
            + [nums[0]]
            + quick_sort([el for el in nums[1:] if el > nums[0]])
        )
nums = [4, 3, 5, 1, 2]
print("\nOriginal list:")
print(nums)
print("After applying Recursive Quick Sort the said list becomes:")
print(quick_sort(nums))
nums = [5, 9, 10, 3, -4, 5, 178, 92, 46, -18, 0, 7]
print("\nOriginal list:")
print(nums)
print("After applying Recursive Quick Sort the said list becomes:")
print(quick_sort(nums))
nums = [1.1, 1, 0, -1, -1.1, .1]
print("\nOriginal list:")
print(nums)
print("After applying Recursive Quick Sort the said list becomes:")
print(quick_sort(nums))

Sample Output:

Original list:
[4, 3, 5, 1, 2]
After applying Recursive Quick Sort the said list becomes:
[1, 2, 3, 4, 5]

Original list:
[5, 9, 10, 3, -4, 5, 178, 92, 46, -18, 0, 7]
After applying Recursive Quick Sort the said list becomes:
[-18, -4, 0, 3, 5, 5, 7, 9, 10, 46, 92, 178]

Original list:
[1.1, 1, 0, -1, -1.1, 0.1]
After applying Recursive Quick Sort the said list becomes:
[-1.1, -1, 0, 0.1, 1, 1.1]

Flowchart:

Python Code Editor:

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