Practice Quicksort Algorithm (21.2) - Quicksort - Data Structures and Algorithms in Python
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Quicksort Algorithm

Practice - Quicksort Algorithm

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define what a pivot is in Quicksort.

💡 Hint: Think about how elements are divided.

Question 2 Easy

What is the primary advantage of Quicksort over other sorting algorithms?

💡 Hint: Consider how merging is handled.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the average time complexity of the Quicksort algorithm?

O(n)
O(n log n)
O(n²)

💡 Hint: Think about how the algorithm processes elements.

Question 2

Is the Quicksort algorithm recursive?

True
False

💡 Hint: What happens after the partitioning step?

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given the following array [9, 7, 5, 11, 12, 2, 14], write a pseudocode for the Quicksort algorithm and execute it step-by-step on the array.

💡 Hint: Remember the rules for partitioning around the selected pivot.

Challenge 2 Hard

Explain how you would optimize Quicksort for arrays that are already sorted.

💡 Hint: Think about how pivot selection impacts performance in sorted data.

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Reference links

Supplementary resources to enhance your learning experience.