Description:
This PR introduces a Python implementation of the Quick Sort algorithm, a highly efficient and widely used sorting technique. Quick Sort employs a divide-and-conquer strategy by selecting a "pivot" element and partitioning the other features into two sub-arrays according to whether they are less than or greater than the pivot.
Changes Made:
I added a Python function, quick_sort(arr), which sorts a given list in ascending order using the Quick Sort algorithm. We have implemented user input for an unsorted list of integers. We displayed the sorted array as output.
Purpose:
This PR aims to provide a robust and efficient implementation of Quick Sort in Python. Quick Sort is known for its exceptional performance on large datasets and is widely used in practice.
Testing:
The code has been thoroughly tested with various input lists, including lists of varying sizes and complexities, to ensure accurate and efficient sorting.
Pull Request: Quick Sort Implementation
Description: This PR introduces a Python implementation of the Quick Sort algorithm, a highly efficient and widely used sorting technique. Quick Sort employs a divide-and-conquer strategy by selecting a "pivot" element and partitioning the other features into two sub-arrays according to whether they are less than or greater than the pivot.
Changes Made: I added a Python function, quick_sort(arr), which sorts a given list in ascending order using the Quick Sort algorithm. We have implemented user input for an unsorted list of integers. We displayed the sorted array as output.
Purpose: This PR aims to provide a robust and efficient implementation of Quick Sort in Python. Quick Sort is known for its exceptional performance on large datasets and is widely used in practice.
Testing: The code has been thoroughly tested with various input lists, including lists of varying sizes and complexities, to ensure accurate and efficient sorting.
Please review and merge this PR.