Practice Cases and Compact Version of the Algorithm - 19.1.2 | 19. Mergesort - Part B | 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 purpose of a merge function in Python?

πŸ’‘ Hint: Think about how you arrange items in order.

Question 2

Easy

What error might occur if we try to access an index beyond the length of a list?

πŸ’‘ Hint: Consider what happens when you try to reach an item that doesn't exist.

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 happens if we combine case 1 and case 4 in the merging algorithm?

  • It simplifies merging
  • It causes index errors
  • It doesn't affect the result

πŸ’‘ Hint: Consider what could happen when one list is empty.

Question 2

True or False: Merge sort is less efficient than bubble sort.

  • True
  • False

πŸ’‘ Hint: Think about the time complexities.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Write a detailed explanation on how merging is implemented handle different list lengths.

πŸ’‘ Hint: Consider boundaries and when you're done with one list.

Question 2

How would you modify merge function to handle non-integer data types?

πŸ’‘ Hint: Focus on what properties would allow you to compare items.

Challenge and get performance evaluation