Last Stone Weight | Leetcode 1046 | Bruteforce, Heap Solutions in Telugu | srkcodes
1Welcome to srkcodes – your ultimate hub for Telugu coding tutorials, coding tutorials, coding tutorials, Leetcode solutions, Leetcode solutions, Leetcode solutions, and Python programming for interviews, Python programming for interviews, Python programming for interviews! Today, on Day 108 of our #365DaysOfCode, we tackle Leetcode Question 1046: Last Stone Weight, using two approaches: Bruteforce, Heap (Priority Queue).
🔍 What You’ll Learn:
1️ ⃣ Array Approach: Simple simulation using array operations.
2️ ⃣ Heap (Priority Queue) Approach: Using Python’s heapq for efficient max-heap behavior.
3️ ⃣ Time & Space Complexity: Analyze both methods for optimal performance.
4️ ⃣ Use-Cases & Insights: Learn why heaps are ideal for this “smash stones” problem.
This video boosts your DSA interview prep, DSA interview prep, DSA interview prep by reinforcing key topics in problem-solving, algorithm design, and data structures, all explained in clear Telugu.
💡 Key Takeaways:
Master Leetcode solutions and improve your tech career prep.
Strengthen your Python programming for interviews skills.
Get hands-on practice with coding tutorials that prepare you for top tech roles.
💬 Challenge for You: Can you optimize further? Share your alternate solutions in the comments below!
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🔗 External Study Resources for Deep Dive:
📝 Problem discussed in the videohttps://leetcode.com/problems/last-stone-weight/-st...
📚 Topic's ⬇ ️
https://www.geeksforgeeks.org/heap-data-structure/ap-da...
💡 LeetCode probhttps://leetcode.com/problem-list/heap-priority-queue/ist/hea...