Practice Handling Different Lengths of Lists - 19.6.3 | 19. Mergesort - Part A | Data Structures and Algorithms in Python
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is merge sort?

πŸ’‘ Hint: Think about how we can break down the task.

Question 2

Easy

Explain the merging process.

πŸ’‘ Hint: Remember how we select items during the merging.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the primary advantage of merge sort over simpler sorting algorithms?

  • a) It is faster for large datasets
  • b) It is easier to implement
  • c) It uses less memory

πŸ’‘ Hint: Think about how it compares performance-wise.

Question 2

True or False: Merge sort can only be used for equally sized lists.

  • True
  • False

πŸ’‘ Hint: Consider how the merging works.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given the lists [5, 10, 15] and [6, 7, 12, 20], manually merge these lists and describe each step.

πŸ’‘ Hint: Keep track of the smallest elements as you go.

Question 2

Analyze the time complexity of the merge sort algorithm and provide a detailed explanation based on its components.

πŸ’‘ Hint: Consider how many times the list is split.

Challenge and get performance evaluation