Java DSA: Kth Largest Element in Array with Heap Approach

🚀 DSA Learning Journey | Day 13 | Java Solved “20. Valid Parentheses.” 💡 Key Idea: Used a Stack to track opening brackets and match them with corresponding closing brackets. ⚙ Implementation • Language: Java • Time Complexity: O(n) • Space Complexity: O(n) 📚 Learning: How stack data structure helps in solving matching and validation problems efficiently. #JavaDeveloper #DSA #LeetCode #ProblemSolving #Stack #Algorithms #CodingJourney #100DaysOfCode #DevelopersOfLinkedIn

🚀 DSA Learning Journey | Day 5 | Java Solved “Maximum Product Subarray.” 💡 Key Idea: Tracked both maximum and minimum products at each step since a negative number can flip the sign and turn a minimum into a maximum. ⚙ Implementation • Language: Java • Time Complexity: O(n) • Space Complexity: O(1) 📚 Learning how handling negative numbers and dynamic updates is important in product-based subarray problems. #Java #DSA #LeetCode #ProblemSolving #JavaDeveloper #Algorithms

🚀 DSA Learning Journey | Day 6 | Java Solved “Find Minimum in Rotated Sorted Array.” 💡 Key Idea: Used Binary Search to locate the pivot point where the rotation happens and identify the minimum element efficiently. ⚙ Implementation • Language: Java • Time Complexity: O(log n) • Space Complexity: O(1) 📚 Learning how binary search can be applied to modified sorted arrays. #Java #DSA #LeetCode #ProblemSolving #BinarySearch #JavaDeveloper #day6

🚀 DSA Learning Journey | Day 9 | Java Solved “125. Valid Palindrome.” 💡 Key Idea: Used Two Pointers while ignoring non-alphanumeric characters and comparing characters in a case-insensitive way. ⚙ Implementation • Language: Java • Time Complexity: O(n) • Space Complexity: O(1) 📚 Learning how two-pointer technique simplifies string validation problems. #Java #DSA #LeetCode #ProblemSolving #TwoPointers #JavaDeveloper

🚀 Day 34 / 180 – DSA with Java 🚀 📘 Topic Covered: Arrays & Basic Construction 🧩 Problem Solved: Concatenation of Array Problem: Given an integer array nums, create a new array that contains the elements of nums twice in sequence. Approach: Created a new array with double the size of the original array and filled the first half with the original elements, then copied the same elements again into the second half. Key Learning: ✔️ Practicing array construction and indexing ✔️ Understanding how to manipulate array sizes ✔️ Writing clean logic for simple transformation problems If you’re also preparing for DSA, let’s connect and learn together 🤝 #DSA #Java #180DaysOfCode #LearningInPublic #Arrays #ProblemSolving #Consistency 

💻 Practicing Binary to Decimal Conversion using Java Today I worked on converting a binary number into its decimal equivalent using logic and iteration. 🔍 Key Learnings: Understanding how binary digits map to powers of 2 Strengthening loop and mathematical logic Improving problem-solving skills step by step Instead of just memorizing, I focused on understanding the logic deeply and practicing with different inputs. 📌 Example: Binary: 1010 → Decimal: 10 Consistency + Practice = Progress 🚀 #Java #DSA #CodingJourney #Programming #100DaysOfCode #LearnToCode #ProblemSolving #DeveloperJourney #CodingPractice #TechSkills

🚀 DSA Learning Journey | Day 8 | Java Solved “Longest Substring Without Repeating Characters.” 💡 Key Idea: Used Sliding Window + HashSet to maintain a window of unique characters and expand/shrink it dynamically. ⚙ Implementation • Language: Java • Time Complexity: O(n) • Space Complexity: O(n) 📚 Learning how the sliding window technique helps optimize substring problems efficiently. #Java #DSA #LeetCode #ProblemSolving #SlidingWindow #JavaDeveloper

🚀 DSA Learning Journey | Day 7 | Java Solved “Single Number.” 💡 Key Idea: Used Bit Manipulation (XOR) — identical numbers cancel out, leaving the unique element. ⚙ Implementation • Language: Java • Time Complexity: O(n) • Space Complexity: O(1) 📚 Learning how XOR helps solve problems efficiently without extra space. #Java #DSA #LeetCode #ProblemSolving #BitManipulation #JavaDeveloper

🚀 Day 58 / 100 – LeetCode Challenge ✅ Problem Solved: Binary Tree Postorder Traversal 📊 Difficulty: Easy 💻 Language: Java Today’s problem focused on understanding tree traversal, specifically Postorder Traversal (Left → Right → Root). 🔍 Key Learnings: Mastered recursive approach for tree traversal Understood how DFS (Depth First Search) works in binary trees Strengthened problem-solving with clean and efficient logic ⚡ Performance: Runtime: 0 ms (Beats 100%) 🔥 Memory: 42.96 MB 💡 Approach: Used a simple recursive helper function: Traverse left subtree Traverse right subtree Add root node value This problem may be easy, but it builds a strong foundation for advanced tree problems 💪 📈 Consistency is key — 58 days down, 42 more to go! #LeetCode #100DaysOfCode #Java #DataStructures #CodingJourney #BinaryTree #DSA #Learning #Consistency