Practice Big O Notation (16.5.2) - Selection Sort - Data Structures and Algorithms in Python
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Big O Notation

Practice - Big O Notation

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Practice Questions

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Question 1 Easy

What is Selection Sort?

💡 Hint: Think about how the algorithm processes the list element by element.

Question 2 Easy

Explain Big O Notation?

💡 Hint: Focus on how we express algorithm performance.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does Big O Notation represent?

A method of sorting
Algorithm performance measure
A type of Array

💡 Hint: Think about how we assess the speed of algorithms.

Question 2

Is Selection Sort an efficient algorithm for large datasets?

True
False

💡 Hint: Consider the number of operations required for sorting large data.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Propose an efficient sorting algorithm for a dataset larger than 10000 records and justify your choice.

💡 Hint: Consider the implications of time complexity on performance.

Challenge 2 Hard

Describe a scenario where Selection Sort could be preferable despite its inefficiency.

💡 Hint: Think about use cases in educational settings or quick prototypes.

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Reference links

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