🚀 One Habit That Improved My Problem Solving: DRY RUN + PATTERN FINDING While solving DSA problems on LeetCode, I realized something simple but powerful 👇 👉 Don’t jump straight to code. 👉 First, dry run the problem manually. 🔍 Step 1: Dry Run Take a small example and simulate it step-by-step. What is happening at each step? What values are changing? Where is the decision being made? This builds clarity. 💡 Step 2: Find the Pattern Once you dry run 2–3 examples, patterns start appearing: Repeating calculations Overlapping subproblems Greedy choices or sequences 👉 That’s where optimization begins. 🔥 Real Learning Most of the time, the solution is not in writing more code… It’s in understanding the pattern behind the problem. 🎯 My Rule Now: “If I can’t dry run it, I don’t understand it.” 💬 Try this approach in your next problem and see the difference. Clarity → Pattern → Optimization 🚀 #DSA #Coding #ProblemSolving #LeetCode #Programming #Tech #Learning #InterviewPrep
Problem Solving Hack: Dry Run & Pattern Finding
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“Hard” doesn’t always mean complex logic. Today I solved the Text Justification problem on LeetCode. And it taught me something unexpected. At first glance, it looks like one of those problems where you need some crazy algorithm. But that wasn’t the real challenge. The logic? Pretty straightforward. The real difficulty was something else entirely: → Structuring the output → Handling edge cases → Distributing spaces correctly → Staying patient when everything almost works It wasn’t about intelligence. It was about discipline. Line by line. Case by case. That’s when it hit me: Some “hard” problems aren’t hard because of logic… They’re hard because they test your patience and precision. And honestly, that’s a different kind of skill. If you’re stuck on a problem like this, don’t just think harder. Think calmer. Break it down. Control the structure. And keep going. Have you faced a problem that wasn’t logically hard, but mentally exhausting? Drop it below 👇 #leetcode #dsa #programming #coding #softwareengineering #problemsolving #algorithms #codingjourney #growthmindset #patience #consistency #developers #csstudents
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🚀 Day 23 of 100 Days LeetCode Challenge Problem: Maximum Non-Negative Product in a Matrix Today’s problem was a deep dive into Dynamic Programming with edge cases (negative values) 🔥 💡 Key Insight: Since the grid contains negative numbers, the product can flip sign. 👉 So at each cell, we must track: Maximum product so far Minimum product so far Because: Negative × Negative = Positive 💥 🔍 Core Approach (DP): 1️⃣ DP State: For each cell (i, j) maintain: maxProduct[i][j] minProduct[i][j] 2️⃣ Transition: From top (i-1, j) and left (i, j-1): Multiply current value with both max & min Take: max → for maxProduct min → for minProduct 3️⃣ Final Answer: If final max ≥ 0 → return max % (10⁹ + 7) Else → return -1 🔥 What I Learned Today: Negative values require tracking both extremes DP is not always just “max”—sometimes it’s min + max together Edge cases define the real difficulty of a problem 📈 Challenge Progress: Day 23/100 ✅ Getting stronger with DP! LeetCode, Dynamic Programming, Matrix, Optimization, Negative Numbers, Algorithms, DSA Practice, Coding Challenge, Problem Solving #100DaysOfCode #LeetCode #DSA #CodingChallenge #DynamicProgramming #Matrix #ProblemSolving #TechJourney #ProgrammerLife #SoftwareDeveloper #CodingLife #LearnToCode #Developers #Consistency #GrowthMindset #InterviewPrep
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🚀 Day 19 of 100 Days LeetCode Challenge Problem: Count Submatrices With Equal Frequency of X and Y Today’s problem was a solid combination of 2D Prefix Sum + Hashing concept 🔥 💡 Key Insight: We need submatrices that: Include the top-left cell (0,0) Have equal number of 'X' and 'Y' Contain at least one 'X' 👉 Trick: Convert the grid into values: 'X' → +1 'Y' → -1 '.' → 0 🔍 Core Approach: 1️⃣ 2D Prefix Sum Transformation Build prefix sum based on above conversion 2️⃣ Check Each Submatrix (0,0 → i,j) If sum == 0 → equal number of X and Y ✅ 3️⃣ Extra Condition: Ensure at least one 'X' exists 👉 Track X count separately using another prefix matrix 🔥 What I Learned Today: Transforming problems into numbers simplifies logic Prefix sums + condition checks = powerful combo Always handle extra constraints carefully 📈 Challenge Progress: Day 19/100 ✅ Almost hitting Day 20! LeetCode, Prefix Sum, Matrix, Hashing, Problem Transformation, Algorithms, DSA Practice, Coding Challenge, Problem Solving #100DaysOfCode #LeetCode #DSA #CodingChallenge #PrefixSum #Matrix #Hashing #ProblemSolving #TechJourney #ProgrammerLife #SoftwareDeveloper #CodingLife #LearnToCode #Developers #Consistency #GrowthMindset #InterviewPrep
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🚀 Day 29 of 100 Days LeetCode Challenge Problem: Check if Strings Can be Made Equal With Operations I Day 29 is a short but pattern + constraint observation problem 🔥 💡 Key Insight: We can only swap characters where: 👉 j - i = 2 For a string of length 4, possible swaps: Index 0 ↔ 2 Index 1 ↔ 3 👉 That means: Positions (0,2) form one group Positions (1,3) form another group 🔍 Core Approach: 1️⃣ Group Characters Extract characters from: Even indices → [0, 2] Odd indices → [1, 3] 2️⃣ Compare Groups Sort both groups for s1 and s2 If both corresponding groups match → ✅ true Else → ❌ false 💡 Why This Works: You can rearrange freely within each group But cannot mix between groups 🔥 What I Learned Today: Limited operations define independent groups Think in terms of index grouping Small problems still test logical clarity 📈 Challenge Progress: Day 29/100 ✅ One day to 30! LeetCode, Strings, Swapping, Greedy, Pattern Recognition, Arrays, DSA Practice, Coding Challenge, Problem Solving #100DaysOfCode #LeetCode #DSA #CodingChallenge #Strings #ProblemSolving #TechJourney #ProgrammerLife #SoftwareDeveloper #CodingLife #LearnToCode #Developers #Consistency #GrowthMindset #InterviewPrep
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🚀 VS Code Shortcuts you must know to code faster & smarter 💻⚡ If you're still clicking for everything… you're slowing yourself down ⏳ I’ve put together a clean cheat sheet of all shortcuts: ✔️ General Shortcuts ✔️ File Management ✔️ Editing (Lines & Code) ✔️ Navigation ✔️ Search & Replace ✔️ Multi-cursor & Selection ✔️ Code Folding ✔️ Editor Management ✔️ Debugging Shortcuts 💡 These are not just shortcuts — they are productivity boosters every developer should master to save hours daily. Whether you're a beginner, student, or developer, mastering these will make your coding faster, smoother, and more efficient 🚀 👉 Save this for later 👉 Share with your coding friends 👉 Comment your favorite VS Code shortcut 👇 #VSCode #Programming #Coding #Developers #Productivity #LearnToCode #TechSkills #SoftwareDevelopment #CodingLife
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🚀 Day 6 of 100 Days LeetCode Challenge Problem: Check if Binary String Has at Most One Segment of Ones Today’s problem is all about pattern observation in strings—simple, but easy to overthink. 💡 Key Insight: The string should contain only one continuous block of '1's. 👉 That means: Once a 0 appears after a 1, There should be no more '1's later 🔍 Simplest Trick: Just check if the pattern "01" appears more than once OR even better → check if "10" appears followed by another "1" 💡 Cleaner approach: Traverse the string Count transitions from 1 → 0 If you ever see 1 again after that → ❌ Invalid 🔥 What I Learned Today: Many problems are just pattern validation Clean logic beats complex conditions Always try to reduce the problem to a simple rule 📈 Challenge Progress: Day 6/100 ✅ Consistency building strong! LeetCode, Strings, Pattern Recognition, Greedy, DSA Practice, Coding Challenge, Problem Solving, Algorithm Thinking, Programming #100DaysOfCode #LeetCode #DSA #CodingChallenge #Strings #ProblemSolving #TechJourney #ProgrammerLife #SoftwareDeveloper #CodingLife #LearnToCode #Developers #Consistency #GrowthMindset #InterviewPrep
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Day 77 on LeetCode Find Smallest Letter Greater Than Target 🔤🔍✅ Continuing the streak with a clean Binary Search application — keeping things simple and consistent during mids 💯 🔹 Approach Used in My Solution The goal was to find the smallest character strictly greater than the target in a sorted array, with wrap-around behavior. Key idea: • Apply binary search on the sorted array • Whenever letters[mid] > target, store it as a potential answer • Move left to find an even smaller valid character • If no such character exists, return letters[0] (wrap-around case) This ensures we always get the next greatest letter efficiently. ⚡ Complexity: • Time Complexity: O(log n) • Space Complexity: O(1) 💡 Key Takeaways: • Practiced binary search for “next greater element” problems • Learned how to handle wrap-around edge cases • Reinforced writing clean and optimized search logic 🔥 Small wins every day consistency is the real progress. #LeetCode #DSA #Algorithms #DataStructures #BinarySearch #Arrays #ProblemSolving #Coding #Programming #Cpp #STL #SoftwareEngineering #ComputerScience #CodingPractice #DeveloperLife #TechJourney #CodingDaily #Consistency #100DaysOfCode #BuildInPublic #AlgorithmPractice #CodingSkills #Developers #TechCommunity #SoftwareDeveloper #EngineeringJourney
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So, for developers like ourselves, coding is only half the battle. What sets us apart is our ability to solve problems. Solving algorithm problems, debugging problems, and developing solutions only helps improve our logical and coding skills. 🎯 Tips to practice effectively: Spend 30-60 minutes every day on coding challenges Spend time understanding problems in-depth before diving into solutions There is always more than one way to do things Review and optimize your solutions Remember, the more problems we face, the better opportunities we create for ourselves to improve and become better developers. Let’s face problems and become better developers every day! #DeveloperLife #CodingChallenges #ProblemSolving #Programming #TechGrowth #ContinuousLearning
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✍️ Nobody writes clean code on the first try. And that's completely fine. Writing code is like writing an essay — you get your thoughts down first. Messy, disorganised, nested loops, names that mean nothing. That's okay. As long as you have tests covering all of it, you can refactor with full confidence. Then iteration by iteration you: 🔴 Split big functions into small ones 🟣 Find names that actually say what they mean 🟢 Eliminate duplication Until the code follows every rule — not because you planned it that way, but because you kept improving it. Clean code isn't written. It's rewritten. #CleanCode #Flutter #Dart #CodeQuality #SoftwareEngineering #Programming #DevTips #100DaysOfCode
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What are functions and why are they important? Functions are reusable blocks of code designed to perform a specific task. Instead of writing the same code multiple times, you can create a function once and call it whenever needed. This makes your code more organized, easier to read, and simpler to maintain. Functions also help break complex problems into smaller, manageable parts. Each function handles one responsibility, which makes debugging and testing easier. They can accept inputs, process them, and return results, allowing your program to be more flexible. Overall, functions improve efficiency, reduce repetition, and make your code cleaner and more structured. #webdeveloper #tech #coding #programming
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