3739. Count Subarrays With Majority Element II | Leetcode Daily - Python

In this video, we tackle the hard LeetCode problem Count Subarrays With Majority Element II using an incredibly efficient O(n) prefix sum approach. We break down the clever plus one and minus one transformation trick that allows us to find subarrays where the target is the majority element without using nested loops. Whether you are preparing for a software engineering coding interview or just sharpening your algorithm skills, this clear, step-by-step breakdown explains the sliding boundary logic perfectly. Solutions are provided in Python, Java, C++, and JavaScript to help you master this advanced array manipulation technique! 🔓 Leetcode Unlocked Website: https://leetcodeunlocked.com/problems... ✍️ My Fav Tool! (Affiliate Links) Vivo Glass Deskpad [Whiteboard for Desks]: https://amzn.to/3S6Fdi2 🧋 Support the channel! My Daily To Do (My Productivity App): https://www.mydailytodo.com/ Buy Me A Boba (Donate): http://buymeaboba.com/LeetcodeDaily Leetcode Unlocked (Other LC Problems):    / @leetcode-unlocked   Perfect for coding interview preparation and improving problem-solving skills. 👍 Like, Subscribe, and Comment! Let me know what problems you'd like to see solved. Solution Link: https://leetcode.com/problems/count-s... #leetcode #python #algorithms #codinginterview #dailycoding