K Closest Elements Leetcode 658 in Telugu | Sorting & Heap Approach | DSA in Python | srkcodes
0Welcome to srkcodes! On Day 108 of #365DaysOfCode, we dive into Leetcode Question 658: Find K Closest Elements, a must-practice problem for DSA interviews, especially those focused on arrays, sorting, and heap-based logic.
This Telugu coding tutorial offers a step-by-step breakdown using:
🔍 What You’ll Learn Today:
Array + Sorting Approach – Simple and intuitive method for closest elements
Heap (Priority Queue) Approach – Efficient solution using max-heap
Master heapq module in Python
Understand the difference between sorting vs. heap efficiency
Learn when to use which method in real-world tech problems
Perfect for Python programming for interviews, tech career prep, and job-ready coding tutorials in Telugu.
💡 Key Takeaways:
Solve problems using both brute force and optimal techniques
Deep understanding of heap vs sorting trade-offs
Build strong DSA foundations for top MNC interviews
Boost your problem-solving skills using Python in Telugu
Practice real DSA interview questions with clear code and explanation
💬 Viewer Challenge:
Try solving this with a Two-Pointer or Binary Search method and drop your solution in the comments!
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🔗 External Study Resources for Deep Dive:
📝 Problem discussed in the video ➡ ️https://leetcode.com/problems/find-k-closest-elements/..
📚 Topic's ⬇ ️
Heaphttps://www.geeksforgeeks.org/heap-data-structure/a...
💡 LeetCode problemshttps://leetcode.com/problem-list/heap-priority-queue/hea...