Practice Combining Sorted Lists - 19.3 | 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 the first step in merging two sorted lists?

πŸ’‘ Hint: Think about which element is smaller.

Question 2

Easy

Name a key benefit of merge sort.

πŸ’‘ Hint: Consider its time complexity.

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 time complexity of merge sort?

  • O(n)
  • O(n log n)
  • O(n^2)

πŸ’‘ Hint: Think about the number of times we can divide the list.

Question 2

True or False: Merge sorts two input arrays into a single sorted array efficiently.

  • True
  • False

πŸ’‘ Hint: Recall how we performed the merging process.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Write a full implementation of merge sort in Python and explain your logic.

πŸ’‘ Hint: Use recursion to split before merging.

Question 2

Analyze and compare the efficiency of merge sort against quicksort and bubble sort for a large dataset.

πŸ’‘ Hint: Consider the time complexity in various scenarios.

Challenge and get performance evaluation