NeetCode 14 | LeetCode #11 | Container With Most Water Solved using the two-pointer approach — expanding and shrinking boundaries to find the maximum area efficiently in O(n) time. A great example of how logical movement can outperform brute force. #NeetCode #LeetCode #Java #DSA #Algorithms #TwoPointers #ProblemSolving #CodingJourney

NeetCode 35 | LeetCode #143 | Reorder Linked List This one’s all about mastering pointer manipulation! Steps I followed: 1️⃣ Find the middle using slow & fast pointers 2️⃣ Reverse the second half 3️⃣ Merge both halves alternately Such problems really sharpen understanding of linked list structure and in-place rearrangement. #NeetCode #LeetCode #Java #DSA #LinkedList #Algorithms #CodingJourney #ProblemSolving

NeetCode 33 | LeetCode #141 | Linked List Cycle Detection Used two pointers moving at different speeds: If they meet → cycle exists If the fast pointer reaches null → no cycle Efficient and elegant solution for a common linked list problem. #LeetCode #NeetCode #Java #Algorithms #DataStructures #Optimization #Coding

NeetCode 32 | LeetCode #21 | Merge Two Sorted Lists Used a dummy node and pointers to iteratively merge two lists in O(n + m) time and O(1) space. Also explored recursion for a cleaner, elegant solution. #LeetCode #NeetCode #Java #DataStructures #Algorithms #Optimization #Coding

NeetCode 43 | LeetCode #104 | Maximum Depth of Binary Tree Even though it’s one of the simpler tree problems, it’s such a solid way to understand recursion properly 🌳 Just find the max between left and right depth and add 1 — that’s it! But it really builds your foundation for all future tree questions 💪 #NeetCode #LeetCode #DSA #Java #BinaryTree #Recursion #ProblemSolving #CodingJourney

#Day403_DSA:Today I learned the LeetCode problem "Minimum Number of Operations to Make Array Empty". This question helped me understand how to efficiently use a PriorityQueue and a lazy subtraction technique to minimize operations. Instead of modifying every element, we can track the cumulative subtraction value to optimize performance. It was a great exercise in combining heap logic with mathematical thinking — improving both problem-solving speed and code efficiency. #LeetCode #Java #DSA #PriorityQueue #LearningJourney #RajVikramaditya #TakeUForward

🚀 Day 390 of #500DaysOfCode 🔹 LeetCode Problem 278: First Bad Version Today’s problem was about efficiently finding the first defective version in a product release sequence using minimal API calls. Once a version turns bad, all versions after it are bad — a perfect use case for binary search optimization! ⚙️ 🧠 Concepts Used: Binary Search 🔍 Optimization of API calls Problem-solving with boundary conditions ⚡ Time Complexity: O(log n) ⚡ Space Complexity: O(1) Each step halves the search range, making it super-efficient! 🚀 #LeetCode #Java #CodingChallenge #BinarySearch #ProblemSolving #100DaysOfCode #500DaysOfCode #CodeNewbie #LearnToCode #SoftwareEngineering

#Day44 of Problem Solving Solved “Concatenation of Array” on LeetCode with an optimized Java solution — achieving 1 ms runtime, which beats 96.77% of submissions! ⚡ Key Learnings: Strengthened understanding of array manipulation and memory allocation in Java. Reinforced the importance of clean and efficient code in problem-solving. Practiced writing scalable logic with minimal complexity. Every small step counts toward mastering data structures and algorithms. 🚀 #LeetCode #CodingJourney #JavaProgramming #ProblemSolving #DataStructures #Algorithms #100DaysOfCode #KeepLearning #Consistency #DSA #Linkedin #HackerRank

Merge K Sorted Lists | NeetCode 41 | LeetCode #23 Efficient merging with a min-heap — clean, scalable, and optimal. A perfect problem to bridge LinkedList + Heap understanding. #NeetCode #LeetCode #DSA #Java #Heap #LinkedList #CodingJourney and yes i used gpt for help in this video..cze i was not sure about some things in between see you in another