Majority Element II – Most Elegant Python Solution for FAANG Interviews 🔥

🔥 Majority Element II – Advanced DSA Problem Explained with Python!
In this video, we tackle Majority Element II, a follow-up to the classic Majority Element question — where you're asked to find all elements that appear more than ⌊n/3⌋ times in an array.

This is a tricky yet frequently asked question in coding interviews at companies like Amazon, Google, and Microsoft. We break it down using a clean and optimized Python solution based on an extension of the Boyer-Moore Voting Algorithm.

👨‍💻 What You’ll Learn: ✅ Brute force vs optimized approaches
✅ Extended Boyer-Moore Voting Algorithm (for ⌊n/3⌋)
✅ Step-by-step Python implementation
✅ Common interview pitfalls and edge cases
✅ Time and space complexity analysis

🎯 Problem Type: Arrays, Hashing, Voting Algorithm
🧠 Difficulty: Medium
💻 Language: Python
📌 Common In: Leetcode, GFG, FAANG Interviews

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