What is the primary purpose of using three lists in the Quicksort implementation?
Python 3: Project-based Python, Algorithms, Data Structures - A look at the recursive divide function

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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
To handle duplicate elements efficiently
To reduce the time complexity of the algorithm
To categorize elements based on their relation to the pivot
To store elements in sorted order
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the Quicksort function, what is the base case for recursion?
When all elements are equal
When the list has one or no elements
When the pivot is the smallest element
When the list is empty
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How is the pivot chosen in this Quicksort implementation?
As the median of the list
As the first element of the list
As a random element from the list
As the last element of the list
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What happens to elements equal to the pivot during the iteration?
They are added to the smaller list
They are discarded
They are added to the equal list
They are added to the larger list
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the result of returning three lists from the function in Python?
A dictionary with three keys
A tuple containing three lists
An error
A single list
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How are the three lists combined to form the final sorted list?
By sorting each list individually
By concatenating them using plus signs
By merging them in ascending order
By using a built-in sort function
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main advantage of using recursion in this Quicksort implementation?
It eliminates the need for a pivot
It allows the algorithm to handle large lists efficiently
It reduces the number of lines of code
It simplifies the code structure
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