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Solve LeetCode #347 – Top K Frequent Elements using a clean and simple Python Hash Map solution.
In this video, I walk you through the clarifying questions you should ask in an interview, the step-by-step logic, and the final implementation with a clear docstring.

Whether you're preparing for #faang interviews or sharpening your Python skills, this tutorial will help you understand the problem in a practical and beginner-friendly way.

🔹 What you’ll learn:
How to use a hash map to count frequencies
How to sort elements by frequency
How to handle edge cases like ties, negatives, and constraints
How to explain your logic like in a real interview

🔹 Perfect for:
Beginner Python developers, coding interview preparation, and anyone practicing LeetCode and data structures.

🧠 Problem: Top K Frequent Elements
📌 Approach: Hash Map + Sorting
🐍 Language: Python
⏱️ Difficulty: Medium

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#python #leetcode #codinginterview #datastructures #topk #dailycommit #pythoninterview #softwareengineer