Practice Insertion Sort (18.1.9) - Recursion - Data Structures and Algorithms in Python
Students

Academic Programs

AI-powered learning for grades 8-12, aligned with major curricula

Engineering Courses
Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Certifications
Games

Interactive Games

Fun games to boost memory, math, typing, and English skills

Insertion Sort

Practice - Insertion Sort

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does 'base case' refer to in the context of insertion sort?

💡 Hint: Think about the smallest possible size of a list.

Question 2 Easy

How does insertion sort work for a list of size 3?

💡 Hint: Consider the step-by-step insertion process.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the base case for insertion sort?

A list of two elements
A list of one or zero elements
An empty list only

💡 Hint: Consider the simplest scenario.

Question 2

Insertion sort has what time complexity in the worst case?

O(n)
O(n log n)
O(n^2)

💡 Hint: Think about how many comparisons might occur in a sorted vs. unsorted case.

3 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Implement insertion sort recursively in Python with a focus on handling edge cases.

💡 Hint: Consider edge cases for empty and one-element arrays.

Challenge 2 Hard

Discuss the implications of time complexity in a real-world application of insertion sort with datasets over 10,000 items.

💡 Hint: Link time complexity with performance expectations in practical applications.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.