Top K Frequent Elements | Leetcode Q347 in Telugu | Heap + Hashmap | DSA Python | srkcodes
3Welcome to srkcodes! In this Day 108 Telugu DSA tutorial, we solve Leetcode Q347: Top K Frequent Elements using an efficient Heap + Hashmap approach in Python. This is one of the most asked DSA problems in coding interviews, and we break it down step-by-step in your regional language—Telugu.
🔍 What You’ll Learn in This Video:
Understanding the problem with real examples
Counting element frequencies using Hashmap
Using Min-Heap to extract top K frequent elements
Efficient solution with clear time and space complexity
Common interview variations of this problem
⏱ ️ Time & Space Complexity (Simple Breakdown):
Frequency Count: O(n)
Heap Building: O(n log n)
Extracting Top K: O(k log n)
Total Time Complexity: O(n log n)
Space Complexity: O(n) (Hashmap + Heap)
💡 Key Takeaways:
Learn how to solve real DSA problems in Python
Master heap and hashmap usage for interview prep
Get ready for coding interviews and tech job prep
Clear your concepts with this hands-on Python tutorial in Telugu
Practice-friendly breakdown for all experience levels
💬 Practice Task for Viewers:
Try solving the problem without using heapq—just with sorting logic. Drop your approach in the comments!
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🔗 External Study Resources for Deep Dive:
📝 Problem discussed in the video ➡https://leetcode.com/problems/top-k-frequent-elements/f...
📚 Topic's ⬇ ️
Hehttps://www.geeksforgeeks.org/heap-data-structure/-da...
💡 LeetCode problehttps://leetcode.com/problem-list/heap-priority-queue/t/hea...