LeetCode 295 | Find Median from Data Stream

In this problem, we solve LeetCode 295 – Find Median from Data Stream, a classic Heap & Priority Queue problem that focuses on efficiently finding the median as numbers are continuously added to a data stream. We explore how Two Heaps (Max Heap & Min Heap) can be used to maintain the lower and upper halves of the data, allowing median queries in constant time. 💡 In this video: -Introduction to the Problem -Understanding Data Streams -Brute Force Approach -Why Sorting Every Time is Inefficient -Introduction to Two Heaps -Using a Max Heap for the Lower Half -Using a Min Heap for the Upper Half -Balancing the Two Heaps -Finding the Median Efficiently -Step-by-Step Dry Run -Time & Space Complexity Analysis -Java Implementation 🎯 This problem is an excellent application of Heap and Priority Queue concepts, helping build a strong foundation for solving streaming data and real-time processing problems frequently asked in coding interviews. 📌 Follow & Connect with Us: 🌐 Website: leetverse.vercel.app 📝 Registration link: https://forms.gle/QkGwatVBXDr6dpxi6 📸 Instagram:   / leetverse   ✨ LeetVerse — Learn, Code, Grow! #LeetCode #DSA #FindMedianFromDataStream #Heap #PriorityQueue #TwoHeaps #Median #Java #CodingInterview #ProblemSolving #LeetVerse #Algorithms