LeetCode 53 | Maximum Subarray Solution (Kadane's Algorithm) Visually Explained | Top Interview 150

Welcome to a clear and concise walkthrough of #LeetCode 53: Maximum Subarray, a cornerstone problem from the Top Interview 150 list! 🚀

In this video, we skip over complex and unnecessary methods and dive straight into the most efficient solution using Kadane's Algorithm, which runs in O(n) time complexity and uses O(1) space complexity.

✅ What you'll learn:
Quick and intuitive explanation of the problem:
We'll discuss how the task is to find the contiguous subarray with the largest sum, and why brute force solutions (checking all subarrays) are inefficient.

The optimized solution step-by-step:
Learn how Kadane's Algorithm works by iteratively maintaining the maximum sum so far and the current sum for the subarray.

Code walkthrough:
We'll break down the Python implementation of Kadane’s Algorithm, which can easily be adapted to any programming language of your choice.

tools used to make the video:- Manim (python lib) for animation, premier pro for video editing, and a TTS model.

Music used:-

Creative Commons CC BY 3.0

[Shobu-dwju]

Wowwww god saved me by making his tutorial appear !!!

[Delgado]

Awesome tutorial. Not where I thought that was going