#countingsort #dsa #algorithms #javascript #sortingalgorithms #computerscience
Can Counting Sort actually beat Quick Sort? 🤯
In this video, we’ll deeply understand the Counting Sort algorithm from scratch and learn why it can achieve linear time complexity O(n + k) under the right conditions.
You’ll learn:
✅ How Counting Sort works step-by-step
✅ Stable vs Unstable Counting Sort
✅ Support for negative numbers
✅ When you SHOULD use Counting Sort
✅ When you should NEVER use it
✅ Time Complexity of Counting sort
✅ Space Complexity of Counting sort
✅ Why complexity can be:
• Linear
• O(n + k)
• Quadratic/Exponential/Factorial
✅ Full JavaScript implementation
This episode is designed for:
• DSA learners
• Interview preparation
• Computer science students
• Software engineers wanting stronger fundamentals
⏮️Previous: https://youtu.be/F21k-0kp7YQ
📃Full Series: https://www.youtube.com/playlist?list=PLQWOOhLsUv1JC8ieumWYDqz0fnjq90K90
Timestamps⌚:
00:00 Intro
01:31 Dry Run of Counting Sort
07:49 Implementing Naive version of Counting Sort in JavaScript
12:28 Limitations of Counting Sort
16:50 Adding support for negative numbers in Counting Sort
21:26 Making Counting sort Stable
29:04 Time and Space Complexities of Counting Sort (n, n+m, n!)
