Kth Largest Element in Array | Heap (Priority Queue) | Leetcode 215 | Python Telugu | 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!
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#srkcodes #Day110 #KthLargestElement #Leetcode215 #HeapInPython #PriorityQueue #DSAInterviewPrep #PythonForInterviews #CodingInTelugu #TeluguCodingTutorial #ProblemSolving #LeetcodeSolutions #PythonDSA
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🔗 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/
Видео Kth Largest Element in Array | Heap (Priority Queue) | Leetcode 215 | Python Telugu | srkcodes канала Srk Codes
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/
Видео Kth Largest Element in Array | Heap (Priority Queue) | Leetcode 215 | Python Telugu | srkcodes канала Srk Codes
srkcodes Kth Largest Element Leetcode 215 Python heapq Priority Queue in Python Heap approach DSA in Telugu Coding tutorials Telugu Python for interviews DSA interview questions Telugu Tech career prep Telugu Greedy algorithms Streaming data algorithms Priority scheduling tutorial Python DSA tutorial Coding for beginners Telugu Leetcode solutions Telugu Python coding interview prep Data structures Telugu Heap queue algorithm dsa telugu python leetcode heap
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21 апреля 2025 г. 17:30:18
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