Solved a basic but interesting problem: Robot Return to Origin 🤖 In this problem, a robot moves based on given directions (Up, Down, Left, Right). The goal is to check whether the robot comes back to the starting point (0,0) after completing all moves. 👉 Approach: I tracked the movement using x and y coordinates. Left/Right affects x Up/Down affects y If both x and y become 0 at the end, it means the robot returned to origin. Simple logic, but a good reminder that strong basics are very important 💡 #LeetCode #DSA #ProblemSolving #CodingJourney #Java #Stack #Algorithms #Consistency #Learning #Tech
Robot Returns to Origin: Java Solution
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#Day358 of #1001DaysOfCode 📘 LeetCode Daily Challenge Problem: Robot Return to Origin (LeetCode 657) 💡 Approach: Simulated the robot’s movement on a 2D plane by tracking vertical and horizontal positions. Each move updates the position, and if the robot returns to (0,0), it means all movements are balanced. ⏱ Time Complexity: O(n) 🧠 Space Complexity: O(1) Consistency is key — one problem every day 🚀 #DSA #Java #LeetCode #ProblemSolving #Coding
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#Day359 of #1001DaysOfCode 📘 LeetCode Daily Challenge Problem: Walking Robot Simulation (LeetCode 874) 💡 Approach: Simulated the robot’s movement step-by-step while tracking direction changes. Used a HashSet to store obstacle positions for O(1) lookup, ensuring the robot stops correctly when encountering obstacles. Updated the maximum distance from origin after each move. ⏱ Time Complexity: O(n + k) 🧠 Space Complexity: O(m) Staying consistent and improving problem-solving skills every day 🚀 #DSA #Java #LeetCode #ProblemSolving #Coding
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🚀 Day 48 #greekstreak Solved the Target Sum Problem using Dynamic Programming! Given an array, the challenge was to assign '+' and '-' signs to reach a target value — sounds simple, but the optimization is where the magic happens ✨ 💡 Key Insight: Transform the problem into a subset sum problem → reduces complexity significantly! 🔹 Efficient DP approach 🔹 Optimized space usage 🔹 Handles constraints up to 1000 sum Example: arr = [1,1,1,1,1], target = 3 → ✅ 5 ways GeeksforGeeks National Payments Corporation Of India (NPCI) #DataStructures #Algorithms #DynamicProgramming #Coding #Learning
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🚀 Day 553 of #750DaysOfCode 🚀 🤖 LeetCode 657: Robot Return to Origin Today’s problem was simple yet a great reminder of how powerful basic logic can be. 📌 Problem Summary: A robot starts at (0,0) and follows a sequence of moves: 'U' → Up 'D' → Down 'L' → Left 'R' → Right 👉 Goal: Check whether the robot returns back to the origin after all moves. 💡 Approach: Instead of overthinking, I focused on tracking movement on axes: Vertical → U cancels D Horizontal → L cancels R If both balances are zero → back to origin ✅ 🧠 Key Insight: This problem is not about simulation, but about balance. ⚡ Complexity: Time → O(n) Space → O(1) 🎯 Takeaway: Even easy problems strengthen your fundamentals. Consistency > Complexity 💯 🔥 553 days down, 197 to go! Let’s keep building 🚀 #LeetCode #Java #DSA #CodingJourney #Consistency #ProblemSolving #Developers #100DaysOfCode #Tech
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🚀 Day 5 of Daily LeetCode Challenge (06 April 2026) Staying consistent and pushing forward 💪 Today’s problem: “Robot Return to Origin” (Easy) 📌 Problem Insight: A robot moves on a 2D plane using steps (U, D, L, R). The goal is to determine whether it returns back to the origin after completing all moves. 🧠 My Approach: Used (x, y) coordinates to track movement Increment/decrement based on direction Final check: (x == 0 && y == 0) → back to origin ✅ ✨ Key Takeaway: Even easy problems strengthen logic and help build consistency — the real game is discipline, not difficulty. 💻 Time Complexity: O(n) 💾 Space Complexity: O(1) 🔥 5 days in — building momentum, one problem at a time! #LeetCode #Day5 #DSA #CodingJourney #Java #ProblemSolving #Consistency #100DaysOfCode
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Solved the Reverse Integer problem without using any built-in functions 💻 Implemented a digit-by-digit reversal approach while carefully handling overflow using boundary checks. This ensures the solution is both safe and efficient. 🔹 Time Complexity: O(log n) 🔹 Space Complexity: O(1) Glad to see it pass all test cases with optimal performance 🚀 Sometimes, sticking to fundamentals is the best way to strengthen problem-solving skills. #Coding #DataStructures #Algorithms #ProblemSolving #CProgramming #LeetCode
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Everyone is chasing AI and automation in 2026… but the smartest developers are still mastering what actually makes systems fast. C++ isn’t outdated. It’s the silent engine behind everything we rely on. Performance is not a feature. It’s a foundation. #cpp #programming #automation #softwareengineering #performance #developers #coding #technology #backend #systemsprogramming
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🚀 Day 555 of #750DaysOfCode 🚀 🧠 Today’s Problem: Walking Robot Simulation II (LeetCode - Medium) This problem was all about simulation + optimization. At first glance, it looks like a simple movement problem, but the tricky part is handling direction changes at boundaries efficiently. 💡 Key Insights: The robot moves along the perimeter of the grid. Instead of simulating every step (which could be up to 10⁵), we optimize using: 👉 perimeter = 2*(width - 1) + 2*(height - 1) We reduce steps using modulo: 👉 num %= perimeter Then simulate movement in chunks based on current direction. ⚙️ What I implemented: Maintained (x, y) position and current direction Handled boundary collisions → turn 90° counterclockwise Efficient movement without iterating step-by-step 🔥 Learning Takeaways: Simulation problems often hide optimization opportunities Always look for patterns (like cycles/perimeters) Clean direction handling makes logic much easier 💻 Tech Used: Java, OOP, Simulation Logic Consistency > Motivation. Showing up every day 💪 #LeetCode #Java #ProblemSolving #DataStructures #Algorithms #CodingJourney #Consistency
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Day: 98/365 📌 LeetCode POTD: Minimum Total Distance Traveled Hard Key takeaways/Learnings from this problem: 1. Sorting both robots and factories is key—it helps you assign in order and avoid messy cross-assignments. 2. DP fits perfectly here since each decision (which factory to assign) affects future choices. 3. Handling factory capacity is the tricky part, so tracking how many slots are used makes the transitions clear. 4. Big takeaway: when greedy feels tempting but fails, it’s usually a sign that DP with proper state design is the way to go. #POTD #365DaysOfCode #DSA #Java #ProblemSolving #LearningInPublic #Consistency 🥷
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📚 New article just published on SYUTHD! 🔖 AI-Powered API Development: Automating Design, Testing, and Optimization in 2026 🏷️ Category: API Development 📖 Full article → https://lnkd.in/ggr3uUx5 👉 Follow our page for more tech tutorials: https://lnkd.in/gsJDptPM 💬 Telegram: https://t.me/nisethtechno 👍 Facebook: https://lnkd.in/gsKv3Dyn #APIDevelopment #Tech #Tutorial #Programming #TechBlog #2026
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