Quick Sort Algorithm in Python - Recursive Quick Sort Helper смотреть онлайн

In this coding tutorial, we'll implement a function called "quick_sort_helper" that performs the Quick Sort algorithm recursively on a list of integers. Quick Sort is an efficient sorting algorithm known for its divide-and-conquer approach.

The "quick_sort_helper" function performs the following tasks:

Accepts three parameters: "my_list", representing the list of integers being sorted; "left", the index of the first element in the current partition; and "right", the index of the last element in the current partition.

Checks if the "left" index is less than the "right" index. If not, the function returns "my_list" without making any changes, as there's no need to sort a single element or an empty partition.

If the "left" index is less than the "right" index, the function calls the previously implemented "pivot" function with "my_list", "left", and "right" as arguments. It stores the returned value (pivot_index) in a variable called "pivot_index".

The function then makes a recursive call to "quick_sort_helper" with "my_list", "left", and "pivot_index-1" as arguments. This step sorts the left partition.

Next, it makes another recursive call to "quick_sort_helper" with "my_list", "pivot_index+1", and "right" as arguments. This step sorts the right partition.

Finally, the "quick_sort_helper" function returns the fully sorted "my_list" after all recursive calls are completed.

Join us in this tutorial to understand the inner workings of the Quick Sort algorithm and how the "quick_sort_helper" function efficiently sorts a list of integers.