Heaps & Priority Queues in Python Telugu | Min vs Max Heap | heapq Explained | srkcodes
3Welcome to srkcodes! Today we explore Heaps and Priority Queues, a powerful concept used in many DSA interview questions, greedy algorithms, and real-world tech systems. Whether you're preparing for interviews or upskilling your Python knowledge, this video is packed with insights.
🔍 What You’ll Learn in This Video:
What is a Heap? Difference between Min‑Heap and Max‑Heap
Python’s heapq module: heappush(), heappop(), nlargest(), nsmallest()
Time and space complexities of all heap operations
Where heaps are used in real DSA problems
Applications: Priority scheduling, streaming data, Dijkstra’s algorithm, and more
This topic is essential for coding interviews and a must-learn for roles in software development, competitive programming, and tech career prep.
💡 Key Takeaways:
Clear understanding of heap structure and priority queue logic
Hands-on with heapq module in Python for problem-solving
Boost your Python programming for interviews with practical examples
Understand when to use min-heap vs max-heap
Learn how heaps support greedy algorithms and efficient scheduling
💬 Practice Challenge:
Try implementing a custom max-heap in Python without using heapq. Drop your code in the comments and let’s discuss!
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🔗 External Study Resources for Deep Dive:
📝 Problem discussed in the video ➡ ️ ----
📚 Topic's ⬇ ️
Heaphttps://www.geeksforgeeks.org/heap-data-structure/a...
💡 LeetCode problemshttps://leetcode.com/problem-list/heap-priority-queue/hea...