Solved Valid Parentheses problem using stack operations in Java.

🚀 Day 57 of My LeetCode Journey 🚀 🔹 Today I solved Longest Common Prefix. Key Idea: To find the longest common prefix in a list of strings, we assume the first string as the prefix and gradually shrink it while checking with every other string. The moment a string doesn't start with the prefix, we trim the prefix until it matches — or becomes empty. 💡 What I learned: String operations like startsWith() can simplify logic. Sometimes, a simple greedy shrinking approach performs better than overthinking the solution. Clean code > complex code. 🧠 Takeaway: Break the problem into smaller checks. Don’t force complexity when simplicity solves it efficiently. Here’s the mindset: ➡️ Small progress every day still counts as progress. ➡️ Consistency beats intensity. #100DaysOfCode #leetcode #codingjourney #java #programming #learning

Day 26 of #100DaysOfCode 🚀 Today's problem was all about balance — literally. 🔹 LeetCode 1941 — Check if All Characters Have Equal Number of Occurrences The task: Verify whether every character in a string appears the same number of times. At first glance, it looks simple — but it's a great exercise in clean logic, frequency counting, and edge-case handling. 🧠 Approach (Java): Use an array of size 26 to store character frequencies. Track the first non-zero frequency. Compare all other non-zero counts with it. If any mismatch occurs → return false. Otherwise, the string is perfectly balanced. A small problem, but a powerful reminder that clarity > complexity. Efficient logic and readable code always scale better in the long run. 💡 Key Takeaway Mastering these bite-sized logic checks builds strong intuition for: ✔ string manipulation ✔ hashing concepts ✔ pattern consistency ✔ frequency-based problem solving These fundamentals become the building blocks for bigger DSA challenges. #100DaysOfCode #Day26 #LeetCode #DSA #JavaDeveloper #CodingJourney #ProblemSolving #Programming #Strings #Hashing #LearningEveryday #TechJourney

🚀 LeetCode Problem Solved: Valid Parentheses ✅ I recently tackled the Valid Parentheses problem on LeetCode, which challenges you to check if a string containing (, ), {, }, [ and ] is valid. Key takeaways from this challenge: Using a stack-like approach to track opening brackets. Making sure every closing bracket matches the most recent unmatched opening bracket. Handling edge cases like unmatched or mis ordered brackets efficiently. The approach is simple yet effective: push opening brackets, and for every closing bracket, check against the last unmatched one. If it doesn’t match, the string is invalid. At the end, the string is valid only if all brackets are matched. A great way to sharpen problem-solving and logical thinking skills. 10000 Coders Usha Sri #LeetCode #CodingChallenge #Java #ProblemSolving #Stack

💥 Stop solving 500 random Leetcode questions! If you can master these 7 patterns, you can crack any DSA problem. Most developers don’t need more problems they need clarity on the patterns behind them. 🚀 Here’s what I wish I knew earlier: If you understand 1. Sliding Window 2. Two Pointers 3. Binary Search 4. Recursion 5. Dynamic Programming 6. Greedy 7. Backtracking ...then every new problem will start to look familiar. 💡 Save this post 🔖 and start with one pattern a week. Your consistency will matter more than your question count. 👇 Comment which pattern took you the longest to understand! #DSA #Java #BackendDevelopment #Leetcode #ProgrammersLife

🚀 Day 140 of #150DaysOfCode on LeetCode Solved: 1526. Minimum Number of Increments on Subarrays to Form a Target Array Language: Java The task was to determine the minimum number of subarray increment operations needed to build the target array from all zeros. 🔹 Intuition: Every time the current element is greater than the previous one, it means we need that many new operations to reach the next level. Decreases don’t add extra work since earlier increments already cover them. 🔹 Approach: Start with the first element’s value as the initial count. For each subsequent element, if it’s larger than the previous one, add the difference. The sum of all such differences gives the minimum number of operations required. 🔹 Complexity: Time: O(n) Space: O(1) #LeetCode #150DaysOfCode #Java #CodingChallenge #ProblemSolving #Greedy #Arrays #DSA #TechLearning #Programmer #WomenInTech #CodeJourney #DynamicProgramming

🔄 While vs Do-While Loops — Same Goal, Different Flow Loops are essential in programming, but choosing the right one matters for performance and logic. Here's the key difference: ♦️ While Loop Condition is checked before executing the block If condition is false initially → loop never runs ♦️ Do-While Loop Code block runs at least once Condition is checked after execution In short: ➡️ Use while when you want validation first ➡️ Use do-while when action must run at least once Mastering these basics builds confidence for writing optimized logic and cleaner programs! #ProgrammingBasics #CodingTips #WhileLoop #DoWhileLoop #Developers #SoftwareEngineering #LearnToCode #CProgramming #Java #CPlusPlus #LogicBuilding #TechEducation #GSWInfotech

💻 Day 22/100 ✅ Today’s problem was “Final Value of Variable After Performing Operations.” A simple logic-based question that turned into a great debugging lesson! 🔍 Initially, my code kept returning the wrong output — I later realized it was because of a return statement placed inside the loop, which made the function stop after the first operation. Once I understood that, fixing it became easy. ✨ Key takeaway: Even small placement mistakes can change the entire flow of your program. Coding isn’t just about writing logic — it’s about understanding execution flow step by step. Every bug is a teacher in disguise! 💪 #Day22 #100DaysOfCode #LeetCode #Java #ProblemSolving #Debugging #LearningByDoing

🚀 Sharpening My DSA Skills with Java on LeetCode Lately, I’ve been consistently solving problems on LeetCode, focusing on enhancing my problem-solving, logical thinking, and Java programming skills. 💻 Each challenge helps me approach problems more efficiently and think beyond conventional logic. Here are a few recent problems I worked on 👇 🔹Maximum Product of Three Numbers 🧠 Approach: Sort the array and consider two possibilities — Product of the three largest numbers Product of the two smallest (negative) numbers with the largest number Then, take the maximum of both results. 🔹Minimum Index Sum of Two Lists 🧩 Approach: Compare all common elements between both lists and calculate their index sums. Track the minimum index sum and update the result list dynamically. 🔹Set Mismatch 📊 Approach: Use a HashMap to detect the duplicate number. Then iterate through the range 1 to n to find the missing one not present in the map. 💡 Key Takeaway: Each problem refined my understanding of data structures, algorithm design, and optimization — all essential for writing cleaner and efficient Java code. 🚀 👨💻 Check out my complete DSA journey on LeetCode: 👉 leetcode.com/u/amans_01/ #Java #LeetCode #DSA #ProblemSolving #CodingJourney #SoftwareDevelopment #LearningEveryday #JavaDeveloper

🚀 Day 49 of My LeetCode Journey 🚀 Problem: LeetCode 442 — Find All Duplicates in an Array 🧩 Problem Statement: Given an array of integers where each number is in the range [1, n], some numbers appear twice while others appear once. Return all numbers that appear twice in O(n) time and O(1) extra space. 💡 Approach (In-place Marking Technique): Since each number maps to an index, we can use the array itself as a marker: For each element x, go to index abs(x) - 1 If the number at that index is already negative → x is a duplicate Otherwise, mark it as visited by making it negative ⏱️ Complexity: Time: O(n) Space: O(1) 🌟 Key Takeaway: Sometimes, the smartest solutions come from observing patterns in constraints — like using the array itself as a memory map! 💭 #Day49 #LeetCode #CodingJourney #Java #DSA #ProblemSolving #100DaysOfCode #LeetCodeSolutions #LearningEveryday

🔥 Day 67 of #100DaysDSAChallenge 📌 Topic: Stacks & Parentheses Depth ✅ Problem Solved on #LeetCode: 1614. Maximum Nesting Depth of the Parentheses (🟢 Easy) 💡 Key Learnings: • Strengthened understanding of stack-based depth tracking in strings. • Learned how to compute maximum nesting depth using stack operations. • Improved ability to simulate and validate parentheses sequences efficiently. • Reinforced logic-building and code optimization skills for stack problems. 🚀 Consistency Matters: Each day brings new clarity and confidence. Keep learning, keep building, and stay consistent — growth compounds daily! 💪 🏷️ #100DaysChallenge #Day67 #DSA #LeetCode #ProblemSolving #CodingChallenge #Java #Programming #Stacks #LogicBuilding #Consistency #LearningTogether #10kCoders #10000Coders