Strengthening Java DSA with Method-Based Problem Solving

🚀 Day 38 / 180 – DSA with Java 🚀 📘 Topic Covered: Strings & Two-Pointer Technique 🧩 Problem Solved: Is Subsequence Problem: Given two strings s and t, check whether s is a subsequence of t. Approach: Used two pointers to traverse both strings. Moved the pointer in s only when characters matched, and always moved the pointer in t, ensuring order is maintained. Key Learning: ✔️ Applying two-pointer technique on strings ✔️ Understanding subsequence vs substring ✔️ Writing clean and efficient O(n) solutions If you’re also preparing for DSA, let’s connect and learn together 🤝 #DSA #Java #180DaysOfCode #LearningInPublic #Strings #ProblemSolving #Consistency

🚀 100 Days Java + DSA Challenge | Day 2 Today’s focus was on strengthening my programming fundamentals by covering: 🔹 Operators in Java (Arithmetic, Relational, Logical, Assignment) 🔹 Conditional Statements (if, if-else, nested if, switch) Understanding how operators work and how decisions are made in code is essential for building strong logic. These concepts are the backbone of problem-solving in Data Structures and Algorithms. 💡 Practiced writing multiple programs using conditions and improved my logical thinking step by step. Consistency is the key — small progress every day leads to big results. #100DaysOfCode #Java #DSA #LearningJourney #Coding #SoftwareDevelopment

🚀 Day 41 / 180 – DSA with Java 🚀 📘 Topic Covered: Matrices & Marking Technique 🧩 Problem Solved: Set Matrix Zeroes Problem: Given a matrix, if an element is 0, set its entire row and column to 0. Approach: Used two auxiliary arrays to mark rows and columns that contain zeroes. In a second pass, updated the matrix by setting elements to zero based on the marked rows and columns. Key Learning: ✔️ Handling matrix-based transformations ✔️ Using extra space for clarity and simplicity ✔️ Breaking the problem into marking and updating phases If you’re also preparing for DSA, let’s connect and learn together 🤝 #DSA #Java #180DaysOfCode #LearningInPublic #Arrays #ProblemSolving #Consistency

🚀 Java DSA Progress Update I’ve solved 125/310 problems (~40%) as part of my structured Java DSA roadmap. ✔️ Strong in: Arrays, Strings, Linked Lists, Binary Search ⚡ Focusing next on: Heap, Graphs, Dynamic Programming, Sliding Window 📌 Approach: Pattern-based problem solving Time & space analysis Learning from mistakes Re-solving for retention 🎯 Goal: Become interview-ready in 30 days with strong problem-solving fundamentals. Consistent progress > perfection. #Java #DSA #LeetCode #ProblemSolving #SoftwareEngineering

🚀 Day 43 / 180 – DSA with Java 🚀 📘 Topic Covered: Linked List Traversal 🧩 Problem Solved: Middle of the Linked List Problem: Given the head of a singly linked list, return the middle node. If there are two middle nodes, return the second middle node. Approach: Traversed the linked list once to count the total number of nodes. Then moved again up to the middle position and returned that node. Key Learning: ✔️ Practicing linked list traversal logic ✔️ Handling even-length edge cases correctly ✔️ Exploring multi-pass solutions before optimizing further If you’re also preparing for DSA, let’s connect and learn together 🤝 #DSA #Java #180DaysOfCode #LearningInPublic #LinkedList #ProblemSolving #Consistency

🚀 Day 46 / 180 – DSA with Java 🚀 📘 Topic Covered: Matrix Manipulation 🧩 Problem Solved: Rotate Image Problem: Given an n x n matrix representing an image, rotate it 90 degrees clockwise in-place. Approach: First transposed the matrix by swapping rows and columns across the diagonal. Then reversed each row to complete the 90-degree clockwise rotation efficiently without extra space. Key Learning: ✔️ Breaking matrix problems into smaller transformations ✔️ Understanding transpose operations ✔️ Solving in-place matrix rotation with O(1) extra space If you’re also preparing for DSA, let’s connect and learn together 🤝 #DSA #Java #180DaysOfCode #LearningInPublic #Matrix #ProblemSolving #Consistency 💙

🚀 Day 42 / 180 – DSA with Java 🚀 📘 Topic Covered: Linked List Traversal 🧩 Problem Solved: Find Middle of Linked List Problem: Given the head of a linked list, find and return the middle node’s value. Approach: First traversed the linked list to calculate its length. Then traversed again up to the middle index to retrieve the middle node. Key Learning: ✔️ Understanding linked list traversal ✔️ Breaking problems into multiple passes ✔️ Thinking about optimized approaches (like slow-fast pointers) If you’re also preparing for DSA, let’s connect and learn together 🤝 #DSA #Java #180DaysOfCode #LearningInPublic #LinkedList #ProblemSolving #Consistency

🚀 **Day 10 of My DSA Journey in Java** Today’s focus was on one of the most powerful concepts in programming — **Loops** 🔁 Loops help us run a block of code multiple times, making programs more efficient, compact, and easier to debug. Here’s what I learned: 🔹 **For Loop** Understood its structure — initialization, condition, and update — and how it controls iterations. 🔹 **Nested Loops** Learned how to use loops inside loops, especially for solving pattern-based problems like star patterns ⭐ 🔹 **Jump Statements** `break` → Immediately exits the loop `continue` → Skips the current iteration and moves to the next 🔹 **While Loop** Executes as long as the condition remains true. 🔹 **Do-While Loop** Runs at least once, even if the condition is false — a unique and useful behavior. 💡 **Key Takeaway:** Loops are essential for writing efficient code and solving repetitive problems with ease. #Java #DSA #LearningInPublic #Programming #100DaysOfCode #JavaDeveloper

🚀 Day 49 of My Java DSA Journey Today I solved an important Dynamic Programming problem: 📌 Longest Palindromic Subsequence (LPS) 💡 Problem idea: Find the longest subsequence in a string that reads the same forward and backward. 🔍 Approach I used: • Reversed the string • Converted the problem into Longest Common Subsequence (LCS) • Applied DP to find LCS between original and reversed string ⚡ Key Insight: LPS(s) = LCS(s, reverse(s)) 🔥 What I learned: • How one problem can be transformed into another • Deep understanding of LCS pattern • Applying DP for string-based problems 🎯 Takeaway: Recognizing patterns (like reducing LPS → LCS) is key to solving advanced problems efficiently. #Day49 #90DaysOfCoding #Java #DSA #DynamicProgramming #LCS #ProblemSolving

Day 37 of My Java DSA Journey✨ Today I focused on improving my logic building skills and practiced problems using: 💡 Nested If-Else Conditions • Solved problems that required multiple condition checks • Learned how to structure logic clearly without confusion 🔄 Array Rotation • Understood how elements shift positions in an array • Practiced rotating arrays and tracking index changes 🔍 What I learned today: • Breaking complex conditions into smaller steps • Writing clean and readable logic • Importance of index handling in arrays ⚡ These problems may look simple, but they are essential for building strong problem-solving skills. 🎯 Takeaway: Strong logic + array basics = foundation for advanced DSA #Day36 #90DaysOfCoding #Java #DSA #Arrays #ProblemSolving #CodingJourney #Consistency