Practice Need For Merging (21.1.1) - Quicksort - Data Structures and Algorithms in Python
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Need for Merging

Practice - Need for Merging

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Practice Questions

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Question 1 Easy

What is the main purpose of the merge function in Merge Sort?

💡 Hint: Think about how sorting happens in stages.

Question 2 Easy

Define what a pivot is in the context of sorting algorithms.

💡 Hint: What do we arrange elements around in Quicksort?

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What key step is necessary in the Merge Sort algorithm?

Sorting
Merging
Partitioning

💡 Hint: What connects the two halves back together?

Question 2

True or False: In Quicksort, merging is required to combine sorted arrays.

True
False

💡 Hint: What does Quicksort do differently compared to Merge Sort?

2 more questions available

Challenge Problems

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Challenge 1 Hard

Given an unsorted array, write a function that implements the partition step of Quicksort and demonstrate it with an example.

💡 Hint: Use two pointers to track and swap elements correctly.

Challenge 2 Hard

Discuss the implications of using a poor pivot choice in Quicksort. What might happen to the overall sorting performance?

💡 Hint: Consider scenarios where the array is mostly sorted or has many duplicate elements.

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