Automorphic Numbers: Efficient Modulo Operations

🔍 Concept Practiced: Harshad Number (Niven Number) Explored the concept of Harshad Numbers, where a number is divisible by the sum of its digits. 📌 Key Insight: Efficient digit extraction and modular arithmetic are key to solving this problem. 🧠 Why this matters: Builds strong foundation in number manipulation Enhances understanding of divisibility rules Useful in many coding and mathematical problems 📈 While not a direct LeetCode problem, it is a frequently used concept in interviews and competitive programming. #Algorithms #DataStructures #ProblemSolving #Coding #Math #InterviewPreparation #SoftwareEngineering #SavecodeS

🔍 Concept Practiced: Armstrong Number (Narcissistic Number) Worked on the Armstrong Number problem, a classic example of number manipulation and mathematical logic. 📌 Problem Summary: A number is Armstrong if the sum of its digits raised to the power of the total number of digits equals the number itself. 💡 Key Learning: Breaking down digits, applying exponentiation, and reconstructing values efficiently are key to solving this problem. 🧠 Why this matters: Strengthens understanding of loops and digit extraction Builds logic for mathematical transformations Frequently asked in beginner-level coding interviews 📈 Practicing such problems helps in developing strong fundamentals in programming and problem-solving. #Algorithms #DataStructures #ProblemSolving #Coding #Math #InterviewPreparation #SoftwareEngineering #SavecodeS

Refining the Craft: Graph Theory AlgoUniversity 🏁 Wrapped up a 5-day Graph Theory Programming Camp intense, but worth it. It pushed me to think beyond syntax and focus on how problems are actually structured. By the numbers: 40,000+ applicants → 4,000 shortlisted → 1,000 completed What stood out: • Logic > syntax — breaking down problems and combining Graphs with DP • Pattern recognition — spotting graph structures in real scenarios • Pressure testing — solving under interview-like constraints Personal highlight: cracked two “Chocolate Problems” in a tough debugging stretch good reminder that persistence pays off 🍫 Thanks to Manas Kumar Verma for the guidance. Time to apply these ideas to harder problems. #GraphTheory #CompetitiveProgramming #Algorithms #ProblemSolving #CareerBuild

🚀 Struggling to pick the right approach for DSA problems? This DSA Pattern Map is a game-changer! Instead of getting lost in hundreds of LeetCode problems, master these core patterns and you'll be able to recognize the right technique within minutes. Whether it's Two Pointers, Sliding Window, Binary Search on Answer, Monotonic Stack, or DP states — this map beautifully organizes the most important patterns across: ✅ Arrays & Strings ✅ Linked Lists ✅ Binary Search ✅ Stacks & Queues ✅ Heaps ✅ Trees ✅ Dynamic Programming ✅ Graphs Save this image. Refer to it every time you feel stuck. The secret to solving DSA problems fast isn't solving more problems — it's recognizing the pattern quickly. Which pattern do you find the hardest to spot? Drop it in the comments 👇 Tag a friend who's grinding LeetCode right now! #DSA #LeetCode #DataStructures #Algorithms #InterviewPreparation #Coding #TechJobs #SoftwareEngineering

Hii ✨ 🚀 Day 4 / 150 — Top Interview Questions Journey Solved Remove Duplicates from Sorted Array II on LeetCode today. This problem looked simple… but the logic twist was powerful. 🧩 Problem Summary Given a sorted array, allow each element to appear at most twice. Do it in-place with O(1) extra space and keep the order. 💡 Key Insight (The Trick) The magic line: if k < 2 or nums[i] != nums[k-2]: k < 2 → First two elements can always be kept nums[i] != nums[k-2] → Check if this number is already kept twice This k-2 idea was the real brain exercise today . 🧠 I Learned DSA is not about coding fast It’s about dry run + pattern thinking Understanding why we use k-2 instead of k-1 Two pointers pattern becomes clearer with practice. 📌 Takeaway Struggled a lot to understand the logic… but once it clicked, it felt amazing. Consistency is more important than speed in DSA learning. #Leetcode #DSAPython

🚀 Day 34 of My DSA Journey 🔍 LeetCode Problem #74 – Search a 2D Matrix Today’s problem looked like a typical 2D matrix question, but the real trick was hidden in its structure. At first glance, it seems like we need to search row by row. But on closer observation, the matrix actually behaves like a fully sorted 1D array. 💡 Key Learning: By treating the matrix as a flattened sorted array, we can apply Binary Search directly and achieve optimal efficiency. ⚡ Insight: The important part is mapping a single index to row and column, which allows us to navigate the matrix without extra space. 📌 Takeaway: Sometimes, solving a problem efficiently is all about changing perspective rather than increasing complexity. Consistency continues — Day 34 💪 #Day34 #LeetCode #DSA #BinarySearch #ProblemSolving #CodingJourney #Consistency

Hmm… this got me thinking about junior engineers. If you have not spent enough time understanding/seeing why/how things break, it seems hard to evaluate whether intent-generated code really fits the architecture, handles edge cases, or follows solid design principles. So Dennis Pilarinos how should juniors approach that learning curve in practice?

Hi , #problemsolvers #leetcoder 👋🏻 While grinding dsa and doing leetcode helps a lot in understanding what problem solving really is. We explore a ton of ways to solve a problem which seems impossible sometimes ! I have two Basic DSA Questions for you ! While solving a problem on leetcode , I have been through both these concepts I was able to solve one but one really tested my patience 😔. Q-> 1 Can you find an LCM of 6,8 ? Q-> 2 Can you Traverse an array twice using a single for loop ? I asked these same questions with most of my mates , they all find it challenging and worth thinking about these questions. if you never ever been through these questions, then Give it a try , are you able to solve it ? let's connect if you are also on the journey of learning problem solving for discussing these kind of concepts. #dsa #leetcode #array #lcm #maths #problem #computerscience #basics #engineering #problem #solving #gcd #cse #datastructure #algorithm #functions

Still memorizing sorting algorithms blindly? Stop. Understand them like this 👇 This is your complete DSA sorting cheat sheet — everything in one place But what actually matters? ⚡ Time complexity (Best / Avg / Worst) ⚡ Space complexity ⚡ Stable vs Unstable ⚡ In-place vs Not 💡 Real game-changer: Interviews don’t just ask “what is Quick Sort?” They ask “when should you use it?” 👉 Example: Use Merge Sort when stability matters Use Quick Sort for fast average performance Use Counting/Radix when range is limited Don’t mug up. Build intuition. That’s how you crack DSA 🚀 #DSA #Algorithms #SortingAlgorithms #CodingInterview #LearnCoding #Programming #ComputerScience #TechCareer #SoftwareEngineer #100DaysOfCode