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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the main purpose of Quick Sort?
💡 Hint: Think about how it improves upon Merge Sort.
Question 2
Easy
What does the pivot do in Quick Sort?
💡 Hint: It separates smaller and larger elements.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
Which algorithm does Quick Sort aim to improve upon?
💡 Hint: Think of the extra space used in the other algorithm.
Question 2
True or False: Quick Sort requires extra storage for merging elements.
💡 Hint: Consider how data is organized in Quick Sort.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Critique the efficiency of Quick Sort in relation to different pivot selection strategies. How might a consistently poor selection impact performance?
💡 Hint: Evaluate how the choice of a pivot can impact the division of the array.
Question 2
Implement Quick Sort in Python. Provide a sample array and walk through the partitioning elements.
💡 Hint: Follow the steps we discussed for partitioning to code.
Challenge and get performance evaluation