Practice Implementation In Python (21.2.2) - Quicksort - Data Structures and Algorithms in Python
Students

Academic Programs

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

Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Games

Interactive Games

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

Implementation in Python

Practice - Implementation in Python

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is merge sort?

💡 Hint: Think about how the algorithm handles large datasets.

Question 2 Easy

Define the pivot in quicksort.

💡 Hint: Consider how the pivot is chosen.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

Which algorithm requires additional space for merging?

Merge Sort
Quicksort
Both

💡 Hint: Consider how each algorithm handles elements.

Question 2

True or False: Quicksort can perform poorly depending on the choice of pivot.

True
False

💡 Hint: Recall how pivot choice affects sorting efficiency.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Modify the quicksort function to choose a random pivot instead of the first element. What impact does this change have on average-case performance?

💡 Hint: Consider how randomness affects partition sizes during sorting.

Challenge 2 Hard

Implement a version of quicksort that uses a hybrid approach, switching to insertion sort for small subarrays. Discuss the benefits of this strategy.

💡 Hint: Reflect on how smaller subarrays behave with different sorting methods.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.