Practice - Python Implementation and Observations
Practice Questions
Test your understanding with targeted questions
What is the output when merging [1, 2] and [3, 4]?
💡 Hint: Think about how to combine the two sorted lists.
Explain how the merge function works.
💡 Hint: Consider the use of indices for each list.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the primary function of the merge algorithm?
💡 Hint: Consider what merging refers to in sorting.
True or False: Merge sort has a time complexity of O(n^2).
💡 Hint: Recall the time complexities of sorting algorithms.
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Challenge Problems
Push your limits with advanced challenges
Given two sorted lists A = [1, 3, 5, 7] and B = [2, 4, 6, 8, 10], write a Python function to merge these lists. Discuss your approach.
💡 Hint: Think about using a while loop for merging.
Explain why merging two sorted lists is O(n) when compared to sorting a single list using merge sort, which is O(n log n).
💡 Hint: Consider the difference between combining versus rearranging elements.
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Reference links
Supplementary resources to enhance your learning experience.