Practice Practical Limits Of Selection Sort (16.5.3) - Selection Sort - Data Structures and Algorithms in Python
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Practical Limits of Selection Sort

Practice - Practical Limits of Selection Sort

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the first step of the selection sort algorithm?

💡 Hint: Look for the minimum value.

Question 2 Easy

What does O(n²) represent in selection sort?

💡 Hint: Think about how time complexity relates to input size.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does selection sort do in each iteration?

Sorts the entire array
Selects the minimum element and places it
Randomizes the array

💡 Hint: Think about the primary action of the algorithm.

Question 2

True or False: Selection sort can efficiently sort very large datasets.

True
False

💡 Hint: Recall the performance limits discussed in the section.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Write a Python implementation of selection sort and modify it to simultaneously count the number of swaps made during the sorting process.

💡 Hint: Pay attention to variable tracking for the number of swaps.

Challenge 2 Hard

Analyze the impact of changing the implementation to store a sorted list versus sorting in place. Discuss the time and space complexity implications.

💡 Hint: Compare and contrast in-memory operations and additional storage use.

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Reference links

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