DSA Bootcamp | Session - 06 | Heap/Priority Queue

In this session, we explored one of the most powerful data structures for solving real-world and interview problems — the Priority Queue (Heap). We began by understanding why heaps are needed, how they maintain order efficiently, and how max-heaps and min-heaps differ in behavior. We then moved through essential operations like insertion, deletion, and understanding the internal array-based representation of heaps. After building the core intuition, we solved key LeetCode 75 problems that rely heavily on priority queues, such as merging sorted data, finding the top-k elements, and efficiently retrieving min/max values. By the end of the video, you’ll have a strong understanding of when and why to use heaps and how to apply priority queue patterns to solve interview problems quickly and cleanly.

Видео DSA Bootcamp | Session - 06 | Heap/Priority Queue канала ICPC ACM USICT