Efficient LeetCode Solution: 3548 Problem Breakdown

Today’s LeetCode POTD (Hard) turned out to be a great reminder: Not every Hard problem demands complex algorithms. Sometimes, it's just about clear thinking and careful implementation. This one was mainly about: • Handling constraints step-by-step • Managing overlaps correctly • Staying consistent with the required conditions 👉 Don’t get intimidated by the difficulty tag — focus on understanding the problem. My approach: • First enforced all required matches (T) • Then filled remaining positions greedily (smallest chars) • Finally ensured F conditions by introducing minimal mismatches without breaking fixed parts Consistency > Complexity. Leetcode Id: https://lnkd.in/dvMsSxVw #leetcode #dsa #coding #problemSolving #consistency

Day 45 of solving LeetCode problems. Solved: Defuse the Bomb This problem looks simple, but it tests a key concept — handling circular arrays with a sliding window. Instead of recalculating sums repeatedly (O(n*k)), I used a rolling window to bring it down to O(n). The tricky part was managing indices correctly when moving forward vs backward (k > 0 vs k < 0). Key takeaway: Efficient thinking is about avoiding redundant work, not just getting the correct answer. Consistency is good, but improving how you think matters more. #leetcode #dsa #problemSolving #coding #100DaysOfCode

🚀 Day 49/100 — Simplicity Wins Again 💯. Today’s problem: LeetCode 2529 — Maximum Count of Positive and Negative Integers. 📌 Problem Summary: Given a sorted array, 👉 Count positive numbers 👉 Count negative numbers 👉 Return the maximum of both ⚠️ Ignore zeros 💡 Brute Force: a)Traversed the array once. b)Counted positives and negatives separately. c)Returned max(positive, negative). 🧠 Key Learning: 👉 Simple counting problems can be solved in one pass. 👉 Edge cases like 0 matter a lot. 👉 Clean and readable code > complex logic. ⚡ Insight: Not every problem needs optimization — clarity and correctness come first 👀 🎯 Showing up daily > being perfect 🚀 #LeetCode #DSA #CodingJourney #KeepLearning

Day 44 of #100DaysOfCode Consistency is starting to compound — and today’s problem was a perfect example of how structured thinking leads to efficient solutions. I worked on the “Product of Array Except Self” problem on LeetCode, which initially looks simple but pushes you to think beyond brute force. 🔍 What makes this problem interesting? * You cannot use division * You must achieve O(n) time complexity * You need to optimize space usage 💡 My Approach & Learnings: Instead of calculating the product repeatedly, I broke the problem into two smart passes: 1. Prefix pass → storing product of all elements to the left 2. Suffix pass → multiplying with product of elements to the right This helped me: ✔ Avoid redundant calculations ✔ Improve efficiency ✔ Write clean and optimized code ⚙️ Skills Strengthened: * Problem decomposition * Optimized array traversal techniques * Space-time tradeoff understanding * Writing production-level clean C++ code 📈 Why this matters? Problems like these build the foundation for tackling real-world scenarios where performance and scalability are critical. It’s not just about solving — it’s about solving efficiently and elegantly. Every day of this journey is improving how I think, not just how I code. Looking forward to pushing further #Day44 #100DaysOfCode #LeetCode #DSA #CodingJourney #SoftwareEngineering #ProblemSolving #Algorithms #Cplusplus #TechSkills #DeveloperJourney #PlacementPreparation #CodeDaily #LearnToCode #GrowthMindset #FutureEngineer #Consistency #CodingLife

🚀 Making consistent progress in my LeetCode journey, one problem at a time. LeetCode Progress 6/50 — Plus One Today I worked on a problem involving array manipulation and handling carry-over logic 🧩 💡 The challenge was to increment a large integer represented as an array of digits, while properly managing cases where carry propagates across multiple digits. 🧠 Approach: Traversed the array from the end, adding one to the last digit and handling carry as needed. If a digit becomes 10, it is set to 0 and the carry is passed to the previous digit. If all digits are processed and carry still remains, a new digit is added at the beginning. ⏱ Time Complexity: O(n) 💡 What I learned: This problem highlights the importance of handling edge cases like carry propagation and reinforces understanding of array traversal from right to left. 📈 Strengthening fundamentals in array operations and improving attention to edge cases. #LeetCode #DSA #ProblemSolving #Cpp #CodingJourney #Consistency 🚀

🚀 340+ LeetCode Problems Solved What started as random problem solving has now become a consistent habit. I’ve crossed 340+ problems on LeetCode, and more importantly, improved how I approach problems. Breakdown: • Easy: 144 • Medium: 182 • Hard: 14 Key lessons from this journey: • Consistency beats intensity — even 2–3 problems daily compounds over time • Struggling is part of the process — the real learning happens when you don’t get it immediately • Patterns matter more than problems — recognizing approaches (DP, Graphs, Sliding Window) is key • Revisiting problems is underrated — solving once is not enough • Clean thinking > fast coding — clarity leads to optimal solutions This journey has helped me build: • Strong problem-solving skills • Better debugging and analytical thinking • Confidence in tackling interview-level questions Next target: 500+ problems 💯 Let’s keep building 🚀 #LeetCode #DSA #CodingJourney #SoftwareEngineering #Placements2026

🚀 Staying consistent and sharpening problem-solving skills in my LeetCode journey. LeetCode Progress 12/50 — Minimum Absolute Difference I worked on a problem focused on sorting and identifying optimal pairs 🧩 💡 The challenge was to find all pairs of elements with the minimum absolute difference in a given array. 🧠 Approach: Sorted the array first, then traversed it to compute the difference between adjacent elements. Tracked the minimum difference and collected all pairs that matched this value. ⏱ Time Complexity: O(n log n) 💡 What I learned: This problem reinforced how sorting simplifies comparison-based problems and helps in efficiently identifying optimal results. 📈 Strengthening fundamentals in array manipulation and improving efficiency in handling comparisons. #LeetCode #DSA #ProblemSolving #Cpp #CodingJourney #Consistency 🚀

In the beginning, I used to jump between multiple DSA concepts and often felt confused. I was solving problems, but my thinking wasn’t structured. Now, after solving 100+ DSA problems on LeetCode, I’ve realized something: This isn’t a “big win” — it’s just the baseline. What actually matters is: • Remembering the core concepts • Recognizing patterns when a similar problem appears • Knowing how to approach a problem, not just solving it once Now my focus is on: → Understanding patterns deeply → Improving my problem-solving approach → Building consistency Because in the end, it’s not about the count — it’s about how you think. #DSA #LeetCode #ProblemSolving #CodingJourney #Consistency #SoftwareEngineering

400 down, many more to go. 📈 Reaching 400 problems on LeetCode has taught me that software engineering isn't just about writing code—it’s about how you approach a problem when you don't initially know the answer. The stats: ✅ 400 Total Solved ✅ 60.2% Acceptance Rate ✅ Beating 98.5% in consistency/speed The biggest takeaway? Discipline beats motivation every single time. #SoftwareDeveloper #TechMilestones #LeetCode #CodingCommunity #GrowthMindset

I spent 30 minutes overthinking a problem that had a 2-minute solution. Problem: Construct Uniform Parity Array I At first, it feels like a construction + constraints problem. You start thinking about cases, patterns, edge conditions… But then I stepped back and looked at the operations: nums2[i] = nums1[i] nums2[i] = nums1[i] - nums1[j] (j ≠ i) Now ask a better question: 👉 What happens to parity under these operations? Same value => parity unchanged Difference of two numbers => can be even or odd depending on choice That’s the key. You can control parity freely. Just to make the entire array all even or all odd And that’s always possible. So the answer would be always TRUE . #FirstPrinciples #ProblemSolving #CodingJourney #LeetCode #DSA #Algorithms #SoftwareEngineering #Developers #CodeNewbie #LearnToCode #ProgrammingLife #TechThinking #LogicalThinking #BuildInPublic #DeveloperMindset #CleanThinking #CodingLife #TechCareers #GrowthMindset #ThinkDifferent