Kth Largest Element in Array | Heap (Priority Queue) | Leetcode 215 | Python Telugu | srkcodes

👉 Follow me on my new Instagram: https://instagram.com/srks.life 🚨 The old link below doesn’t work anymore — I changed my ID! 🛒 Everything I use, love, or plan to buy – one Amazon list! 👉🏻 https://www.amazon.in/shop/srkcodes -------------------------------------------------------------------------------------- Welcome to srkcodes! In Day 110 of #365DaysOfCode, we tackle Leetcode Q215: Kth Largest Element in an Array, which asks: Given an integer array nums and an integer k, return the kth largest element in the array. We solve this without sorting, using a heap (priority queue) approach: maintain a min‑heap of size k, push each element, and pop when the heap exceeds size k, so the root is always the kth largest. 🔍 What You’ll Learn Heap Approach in Python: How to use heapq.heappush() and heapq.heappop() to maintain a min‑heap of size k. Python documentation Time & Space Complexity: Understand why this method runs in O(n log k) time and O(k) space. Edge Cases & Examples: Walk through sample inputs like [3,2,1,5,6,4] with k=2 to see the heap evolve. When & Why to Use Heaps: Learn real-world use‑cases like streaming data, priority scheduling, and greedy algorithms. 💬 Practice Challenge: Can you adapt this to find the kth smallest element? Drop your code in the comments! 🔔 Like, Share, and Subscribe to srkcodes for daily Telugu coding tutorials, Leetcode solutions, and Python interview prep. 📲 Follow for More Coding Updates: Instagram: https://instagram.com/srk._.lifestyle LinkedIn: https://www.linkedin.com/in/subbareddykarri/ #srkcodes #Day110 #KthLargestElement #Leetcode215 #HeapInPython #PriorityQueue #DSAInterviewPrep #PythonForInterviews #CodingInTelugu #TeluguCodingTutorial #ProblemSolving #LeetcodeSolutions #PythonDSA 💻 My Gear: 🔹Laptop : https://bit.ly/3iH3Yf9 🔹Mobile : https://shorturl.at/rzHIO 🔹Earphones : https://bit.ly/3naIFEm 🔹mic : https://amzn.to/3hYqd19 🔗 External Study Resources for Deep Dive: 📝 Problem discussed in the video ➡️ https://leetcode.com/problems/kth-largest-element-in-an-array/ 📚 Topic's ⬇️ Heap :- https://www.geeksforgeeks.org/heap-data-structure/ 💡 LeetCode problems ➡️ https://leetcode.com/problem-list/heap-priority-queue/