🗓 Day 56 / 100 – #100DaysOfLeetCode 📌 Problem 840: Magic Squares In Grid Today’s problem was about identifying 3×3 magic squares inside a grid. A magic square must contain the numbers 1 to 9 exactly once, and the sum of each row, column, and both diagonals must be the same. 🧠 My Approach: Iterated over every possible 3×3 subgrid in the matrix. For each subgrid: Verified that all numbers are in the range 1–9 and are distinct. Checked whether the sums of: all rows all columns both diagonals are equal. Counted the subgrid if it satisfied all magic square conditions. Since the grid size is small, this direct validation approach works efficiently. 💡 Key Learning: This problem reinforced: ✔ careful constraint validation before deeper checks ✔ breaking a complex condition into smaller, verifiable rules ✔ systematic scanning of submatrices in a grid It’s a great example of how attention to detail is crucial in grid-based problems. Another satisfying problem wrapped up 🚀 #100DaysOfLeetCode #LeetCodeChallenge #Python #ProblemSolving #Matrix #GridProblems #Simulation #Algorithms #DSA #CompetitiveProgramming #SoftwareEngineering #CodingJourney #DeveloperJourney #LearningInPublic #TechStudent #CareerGrowth #Programming #KeepLearning
Magic Squares in Grid: 3x3 Subgrid Validation
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🗓 Day 58 / 100 – #100DaysOfLeetCode 📌 Problem 66: Plus One Today’s problem was a simple but important exercise in array manipulation and edge-case handling. Given an integer represented as an array of digits, the task was to add one to the number and return the resulting digits. 🧠 My Approach: Started from the last digit and simulated the addition of 1. If the digit was less than 9, incremented it and finished. If the digit was 9, set it to 0 and carried over to the next digit. Continued this process until the carry was resolved. Handled the special case where all digits were 9 (e.g., [9,9,9]) by adding a leading 1. This approach closely mirrors how addition works in real life. 💡 Key Learning: This problem reinforced: ✔ how to simulate arithmetic operations using arrays ✔ careful handling of carry propagation ✔ the importance of edge cases, even in easy problems A good reminder that mastering fundamentals is key to solving harder problems efficiently 🚀 #100DaysOfLeetCode #LeetCodeChallenge #Python #ProblemSolving #Arrays #Simulation #Algorithms #DSA #CompetitiveProgramming #SoftwareEngineering #CodingJourney #DeveloperJourney #LearningInPublic #TechStudent #CareerGrowth #Programming #KeepLearning
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✅ Day 27 of 100 Days LeetCode Challenge Problem: 🔹 #695 – Max Area of Island 🔗 https://lnkd.in/gUCues5K Learning Journey: 🔹 Today’s problem focused on finding the largest connected group of land cells in a 2D grid. 🔹 I used Breadth-First Search (BFS) to explore each island and calculate its area. 🔹 Starting from an unvisited land cell, BFS traverses all connected land cells while counting the size of the island. 🔹 A visited set ensures each cell is processed only once, avoiding duplicate work. Concepts Used: 🔹 Breadth-First Search (BFS) 🔹 Graph Traversal 🔹 Matrix Traversal 🔹 Connected Components Key Insight: 🔹 Grid problems can be treated as graph traversal problems. 🔹 BFS allows efficient exploration of all connected cells in an island. 🔹 Tracking visited nodes is crucial for correctness and performance. #LeetCode #DataStructures #Algorithms #CodingInterview #SoftwareEngineering #SoftwareDeveloper #ProblemSolving #Programming #ComputerScience #TechCareers #100DaysOfCode #DailyCoding #Consistency #LearningInPublic #Python #BackendDevelopment #InterviewPreparation #TechCommunity
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Ever wondered how "Undo" and "Redo" work under the hood? I just solved a classic system design challenge using the Two-Stack Method. Here is how it works: 🔹 The Main Stack stores the current state of the document. 🔹 The Redo Stack holds actions that were reversed, waiting to be reapplied. 🔹 Efficiency is key: Every operation runs in O(1) time. It is a great reminder that simple data structures are often the most elegant solutions for complex user interactions. Implementation: https://htmlify.me/r/mt8w #Coding #DataStructures #SoftwareDevelopment #Python #Programming #TechTips
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🚀 LeetCode Daily Challenge – Day 3 Problem #1411: Number of Ways to Paint N × 3 Grid (Hard) Today’s problem was a good example of how dynamic programming + pattern recognition can turn a complex-looking problem into an efficient solution. 💡 Approach & Thought Process: Instead of thinking about the entire grid at once, I focused on how one row affects the next row. For a single row of 3 cells: There are two valid coloring patterns: Type A: All three colors are different Type B: The first and third cells have the same color By counting how many ways each pattern can transition to the next row: We can track just two values instead of the full grid Each new row updates these values using fixed transition formulas This avoids brute force and keeps the solution efficient even for large n This reduces the problem to a simple iterative DP update. ⏱ Time Complexity: O(n) 📦 Space Complexity: O(1) This problem reinforced an important lesson: 👉 When constraints are large, look for repeating patterns instead of brute force. 📌 Stay tuned for more daily problem-solving insights and DSA practice updates! #LeetCode #DailyCoding #DataStructures #Algorithms #DynamicProgramming #ProblemSolving #Python #DSA #LearningInPublic #SoftwareEngineering
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I recently revisited a teaching example and realized how well it highlights a workflow I strongly believe in: combining #Simba with Python notebooks for control design. Analytical tuning, visualization, and high-fidelity switching simulations all live in the same loop — fast, transparent, and highly reusable. Full example here: https://lnkd.in/euUDGmEw
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In this episode, we opened up #CyberBricks and looked at what’s actually inside them — not as a kit, but as a programmable system. We moved past snapping blocks together and focused on writing Python code to control behavior: how inputs are read, how logic is written, and how the brick responds. This is where learners stop “using” technology and start thinking like programmers — one instruction at a time. cc ChipuRobo Center #bambulabs #esp32 #learninghowtocode
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I built a terminal-based maze solver using Python and the curses library. The program visually explores a maze step by step using a Breadth-First Search (BFS) approach and highlights the shortest path once the destination is reached. Instead of just printing the final result, the focus was on visual feedback and clear logic, so you can actually see how the algorithm explores the maze. What I worked on: Implementing BFS for guaranteed shortest-path traversal Real-time visualization directly in the terminal Clean state handling (visited nodes and path tracking) Building this helped me understand how algorithms behave internally, rather than treating them like black boxes. #Python #DataStructures #Algorithms #BreadthFirstSearch #ProblemSolving #LearningByDoing #Programming #DeveloperJourney #ComputerScience #PythonProjects #BuildInPublic #CodingLife #SoftwareDevelopment #TerminalApps #TechLearning
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🚗 Python Project: Car Recommendation System Built a Python-based console application that recommends cars based on user inputs like budget, car type (SUV/Sedan), engine capacity (CC), seating capacity, transmission, and features like sunroof. This project helped me practice: Conditional logic (if-elif) User input handling Real-world problem modeling in Python Still learning, still building. Feedback is welcome! 🙌 YouExcel Training Muhammad Rafay Shaikh #Python #Programming #LearningByDoing #BeginnerProjects #SoftwareDevelopment
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Just dropped a free quick start guide for TensorFlow robot perception. Goes from zero to real-time object detection in 9 pages. Environment setup, working Python code, model selection, and ROS integration. No fluff. If you're building robots that need to see, this saves you a week of Googling. Attached below 👇 Try it yourself!!
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🗓 Day 65 / 100 – #100DaysOfLeetCode 📌 Problem 3799: Word Squares Today’s problem was an interesting mix of string indexing, permutations, and pattern validation. The task was to identify valid 4×4 word squares, where characters align correctly across rows and columns. 🧠 My Approach: Sorted the list of words for consistent ordering. Generated all possible permutations of 4 distinct words. Treated each permutation as: top, left, right, bottom Verified the word-square constraints by checking character alignment: First characters must match across corresponding positions. Last characters must align correctly to complete the square. If all conditions were satisfied, added the group of words to the result list. This direct validation approach works well given the fixed word length and limited input size. 💡 Key Learning: This problem reinforced: ✔ how careful index-based comparisons can enforce structural constraints ✔ using permutations to explore all valid combinations ✔ translating a visual pattern (word square) into precise logical checks It’s a good reminder that many pattern problems are about mapping geometry or structure into indices. Another satisfying problem solved 🚀 #100DaysOfLeetCode #LeetCodeChallenge #Python #ProblemSolving #Strings #Backtracking #Permutations #Algorithms #DSA #CompetitiveProgramming #SoftwareEngineering #CodingJourney #DeveloperJourney #LearningInPublic #TechStudent #CareerGrowth #Programming #KeepLearning
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