Two Sum Problem: Efficient Approach and Key Considerations

I've mass-solved LeetCode. I've binge-read system design blogs. But nothing made LLD click until I stumbled onto this platform. You pick a problem (Parking Lot, BookMyShow, Splitwise - real interview stuff), and instead of reading a 40-page article, you actually design it. The wild part? → It simulates an actual interview. Chat-based, with hints when you're stuck. → There's a visual mode where you drag entities, draw relationships, and AI generates your class skeletons. In Java, Python, or TypeScript. → It's gamified. You unlock schema design only after nailing the requirements. Honestly felt like cheating. Free to try, premium unlocks the full 100+ problems . Link in comments 👇 #LowLevelDesign #CodingInterviews #MachineCoding #SystemDesign #InterviewPrep

🚀 LeetCode Problem Solved – Reverse String Solved the Reverse String problem on LeetCode using JavaScript with an optimized in-place approach. ✅ Key Idea: Reverse the string by swapping characters from the start and end of the same array, modifying it directly without creating any extra array. 🔹 Time Complexity: O(n) 🔹 Space Complexity: O(1) – No extra space used (in-place modification) 💡 Approach: • Use a two-pointer technique • One pointer starts from the beginning of the array • Another pointer starts from the end • Swap characters and move both pointers toward the center until they meet 📊 Result ✔️ All test cases passed ⚡ Runtime: 0 ms 📦 Space Complexity: O(1) Consistently practicing problems like this helps strengthen Data Structures & Algorithms fundamentals and improves problem-solving skills for coding interviews. #leetcode #javascript #dsa #twopointers #programming #codingpractice #softwareengineering

 Shortest Path Algorithm — Explained Mathematically We often learn shortest path algorithms from a coding perspective. But what if we step back and understand them from a mathematical point of view? In today’s post, I’ve explained the shortest path algorithm in a slightly different way — through mathematical reasoning and structure. It’s a deeper, more conceptual approach that helps you truly understand *why* the algorithm works, not just how to implement it. If you enjoy digging beneath the surface and building strong theoretical foundations behind practical coding problems, this one is for you. 👇 Do you prefer understanding algorithms conceptually first, or jumping straight into code? Follow Muhammad Nouman for more useful content #learningoftheday #1000daysofcodingchallenge #FrontendDevelopment #WebDevelopment #JavaScript #React #Next #CodingCommunity #Algorithms #DataStructures #SystemDesign #ProblemSolving

🚀 Cracked the 3Sum Problem on LeetCode! Today I solved the classic 3Sum problem on LeetCode — a great test of optimization and pattern recognition. 🧠 Problem: Find all unique triplets in an array that sum to 0. ❌ Brute Force Approach: 3 nested loops Time Complexity: O(n³) Fails for large inputs (TLE) ✅ Optimized Approach (Sorting + Two Pointers): Sort the array Fix one element Use two pointers to find the remaining pair Skip duplicates smartly ⏱ Time Complexity: O(n²) 📦 Space Complexity: O(1) (excluding output) 💡 Key Learning: Sometimes the real challenge isn’t solving the problem — it’s reducing time complexity. Switching from O(n³) ➝ O(n²) makes all the difference in large-scale inputs. 🔥 What I Improved: ✔ Handling duplicates efficiently ✔ Mastering two-pointer technique ✔ Debugging Time Limit Exceeded errors ✔ Writing clean, interview-ready code Problems like 3Sum strengthen core DSA concepts that are frequently asked in technical interviews. What’s your favorite array optimization problem? 👇 #DataStructures #Algorithms #JavaScript #LeetCode #CodingInterview #ProblemSolving #100DaysOfCode

Internship Recap: 🚀 January & February Learning Recap – Building Strong Foundations in Tech The first two months of 2026 have been a dedicated sprint toward strengthening my core technical skills. From front-end design to back-end logic, it's been about bridging the gap between how the web looks and how it thinks. 🔹 Web Development & Interactivity HTML & HTML5: Mastering semantic structure and modern web elements. CSS: Building layouts and styling for a clean user experience. JavaScript Foundations: Logic building, variables, operators, and conditional statements. Functionality: Implementing loops and even/odd logic to make pages interactive. 🔹 Java & Object-Oriented Programming Core Java: Deep dive into the language syntax and execution. OOPS Fundamentals: Focusing on the pillars of Object-Oriented Programming (Inheritance, Polymorphism, Abstraction, and Encapsulation). Code Quality: Learning to write modular, reusable, and efficient code. 🔹 Python Revision & Logic Core Python: A comprehensive review of Python syntax and data structures. Problem Solving: Sharpening scripting skills to ensure a versatile toolkit. Logic Refinement: Re-strengthening the "programmer's mindset" through consistent practice. These two months helped me improve my logical thinking, code clarity, and overall problem-solving confidence. Step by step. Concept by concept. Stronger fundamentals. Greater confidence. 💪 Excited to transition these skills into real-world projects throughout March! #Java #JavaScript #HTML #CSS #Python #WebDevelopment #OOPS #LearningJourney #Consistency #SoftwareDevelopment

🚀 Today’s LeetCode Problem — Sort Integers by Number of 1 Bits Let’s solve today’s LC in story mode 🎭 Imagine numbers are contestants in a Binary Costume Contest. Today’s contestants: 👉 [5, 3, 7] But this contest has a twist 👇 👨⚖️ The judge doesn’t care about the number itself first. He cares about… 🎈 How many 1s are in their binary costume 🎭 What Are They Wearing? 🔹 5 → 101 → 🎈🎈 (2 ones) 🔹 3 → 011 → 🎈🎈 (2 ones) 🔹 7 → 111 → 🎈🎈🎈 (3 ones) 🏆 Judge’s Rules 1️⃣ Fewer 1s → Higher priority 2️⃣ Same number of 1s → Smaller number wins 👉 Step 1: 3 & 5 → 2 ones 7 → 3 ones So 7 goes last. 👉 Step 2: Tie between 3 and 5 Smaller number first → 3 before 5 ✅ Final Answer: [3, 5, 7] 💡 How I Solved It I implemented this using: 🔹 Brian Kernighan’s Algorithm for efficient bit counting 🔹 TreeMap to maintain sorted order by bit count + value 🔹 Also compared with built-in bitCount() + custom comparator sorting This ensures: ✔ Efficient bit counting ✔ Clean tie-breaking ✔ Optimal sorting logic If you’re interested, I’ve pushed the complete solution (Kernighan + TreeMap + built-in approach) : https://lnkd.in/gV9HZ9w4 👨💻 Would love feedback from fellow developers 🙌 #LeetCode #DSA #Java #ProblemSolving #CodingJourney #100DaysOfCode #Tech #SoftwareEngineering

𝗟𝗲𝗲𝘁𝗖𝗼𝗱𝗲 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝗳𝗼𝗿 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 – 𝗠𝗮𝘀𝘁𝗲𝗿 𝗖𝗼𝗱𝗶𝗻𝗴 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀 𝘄𝗶𝘁𝗵 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲 𝗣𝗿𝗼𝗯𝗹𝗲𝗺𝘀 Boost your problem-solving skills with essential LeetCode questions every developer should practice. This guide covers popular coding problems from arrays, strings, linked lists, stacks, queues, trees, graphs, recursion, and dynamic programming. Perfect for developers preparing for technical interviews at top tech companies. Improve your logic, coding speed, and confidence by practicing real interview-level problems with structured learning. #LeetCode #CodingInterview #DSA #ProblemSolving #SoftwareEngineering #ProgrammingPractice #TechInterviews #Developers #Algorithms #DataStructures #InterviewPreparation #CodeWithGandhi

Writing unit tests can be boring and time-consuming 😩 So I stopped writing them manually. Here’s how I use AI inside VS Code to generate mine in seconds ⚡ AI is not replacing you — it’s upgrading you. Would you try this? 👇 #JavaScript #WebDevelopment #SoftwareEngineer #CodingLife #VSCode #AIDeveloper #TechContent #100DaysOfCode #DevTools #ProgrammingTips

Binary Search is NOT just “𝗳𝗶𝗻𝗱 𝗺𝗶𝗱 𝗮𝗻𝗱 𝗰𝗼𝗺𝗽𝗮𝗿𝗲.” It’s a mindset shift most coders miss. I used to think I had mastered Binary Search… until LeetCode started throwing “weird” problems at me. Lower bound. Upper bound. First true. Last true. Suddenly, 𝘄𝗵𝗶𝗹𝗲 (𝗹𝗼𝘄 <= 𝗵𝗶𝗴𝗵) wasn’t enough. I kept getting off-by-one errors. Infinite loops. Wrong indices. The problem wasn’t coding, it was clarity. Then I realized: 𝗕𝗶𝗻𝗮𝗿𝘆 𝗦𝗲𝗮𝗿𝗰𝗵 𝗶𝘀𝗻’𝘁 𝗮𝗯𝗼𝘂𝘁 𝘀𝗲𝗮𝗿𝗰𝗵𝗶𝗻𝗴. It’s about shrinking the answer space. Lower bound → first position ≥ target. Upper bound → first position > target. First/Last true → binary search on a condition. On answer → search the minimum valid value. Peak element → exploit monotonic behavior. Once I stopped thinking in terms of arrays and started thinking in terms of invariants, everything changed. 𝗕𝗶𝗻𝗮𝗿𝘆 𝗦𝗲𝗮𝗿𝗰𝗵 𝘁𝗮𝘂𝗴𝗵𝘁 𝗺𝗲 𝘁𝗵𝗶𝘀: Great problem solvers don’t search data. They search possibilities. Which variation challenged you the most, and how did you finally “get it”? #Java #LeetCode #ProblemSolving #CodingJourney #DeveloperCommunity #BinarySearch #AlgorithmDesign

🚀 Day 915 of #1000DaysOfCode ✨ Shortest Path Algorithm — Explained Mathematically We often learn shortest path algorithms from a coding perspective. But what if we step back and understand them from a mathematical point of view? In today’s post, I’ve explained the shortest path algorithm in a slightly different way — through mathematical reasoning and structure. It’s a deeper, more conceptual approach that helps you truly understand *why* the algorithm works, not just how to implement it. If you enjoy digging beneath the surface and building strong theoretical foundations behind practical coding problems, this one is for you. 👇 Do you prefer understanding algorithms conceptually first, or jumping straight into code? #Day915 #learningoftheday #1000daysofcodingchallenge #FrontendDevelopment #WebDevelopment #JavaScript #React #Next #CodingCommunity #Algorithms #DataStructures #SystemDesign #ProblemSolving