Mastering Variables in Programming

Variables are the backbone of every program They store data, bring flexibility, and power problem-solving in coding. Mastering variables is the first step toward becoming a great developer #Programming #CodingBasics #Variables #LearnToCode #SoftwareDevelopment #CodingLife #TechSkills #DeveloperJourney #ComputerScience #ProgrammingConcepts #augusitsolutions

Debugging is where real learning happens. Every error teaches you something new and helps you become a better programmer. Don’t avoid bugs—understand them, fix them, and grow your coding skills. #CSEPathshala #Debugging #CodingSkills #LearnProgramming #DeveloperLife #EngineeringStudents #TechLearning #ProblemSolving 

🚀 𝐌𝐚𝐬𝐭𝐞𝐫 𝐎𝐛𝐣𝐞𝐜𝐭-𝐎𝐫𝐢𝐞𝐧𝐭𝐞𝐝 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 (𝐎𝐎𝐏𝐬) 𝐢𝐧 𝐣𝐮𝐬𝐭 𝟏𝟓 𝐝𝐚𝐲𝐬! Whether you're preparing for tech interviews or strengthening your programming foundation, understanding OOPs concepts — Encapsulation, Abstraction, Inheritance, and Polymorphism — is a must. With AlgoTutor’s structured notes & practice plan, you can go from basics to mastery — one concept at a time 💪 📘 𝐋𝐞𝐚𝐫𝐧 | 💡 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞 | 🚀 𝐌𝐚𝐬𝐭𝐞𝐫 hashtag #AlgoTutor #Programming #OOPs #DSA #Coding #TechSkills #Learning #SystemDesign #EdTech

In LeetCode 867 – Transpose Matrix Today I worked on a basic but important matrix problem: transposing a matrix. The idea is simple — convert rows into columns. Understanding matrix traversal helps build a strong foundation for more complex problems. #LeetCode #DSA #Coding #Programming #ProblemSolving #100DaysOfCode #DeveloperJourney #CodeNewbie #Tech #Learning #CodingLife #ComputerScience #Algorithms #Matrix #Consistency

If you are starting with Rust, a common question is: How do I practice Rust effectively? Reading alone is not enough. You need a combination of quick concept exposure and consistent hands-on coding. A simple approach that works: 1. Start with Rust By Example - Go through it quickly to understand syntax, ownership, borrowing, and basic constructs. Do not aim for deep mastery at this stage. 2. Move to Exercism Rust Track - Solve problems regularly. Focus on writing code, understanding compiler errors, and improving your solutions. 3. Use Rust By Example as a reference - When you get stuck in Exercism, go back and check examples to clarify concepts. This approach helps you: 1) Build familiarity with Rust concepts 2) Practice writing real code 3) Learn idiomatic Rust through repetition Keep the loop simple: Read → Code → Get stuck → Refer → Continue #rust #rustlang #learningrust #programming #softwareengineering #systemsprogramming #developers #coding #learningjourney

🚀 Day 93 of #100DaysOfCode Challenge Today’s problem was all about identifying “Beautiful Strings” 🔢✨ A numeric string is called beautiful if: ✔️ It can be split into a sequence of increasing numbers ✔️ Each number is exactly +1 from the previous ✔️ No leading zeros allowed 💡 What I Learned Today: How to break strings into valid sequences Handling large numbers using long long Importance of string comparison vs integer operations Edge cases like: Leading zeros ❌ Single digit strings ❌ Invalid increments ❌ 🧠 Approach: Try all possible starting numbers Generate the sequence dynamically (x, x+1, x+2…) Match the built string with the original If matched → ✅ YES x Else → ❌ NO 💻 Example: 👉 Input: 91011 👉 Output: YES 9 ⚡ Key Takeaway: Sometimes brute force with smart validation is the best approach! 📅 Consistency is the real game changer. On to Day 94 💪 #Coding #Programming #CProgramming #DataStructures #ProblemSolving #100DaysOfCode #DeveloperJourney #LearningEveryday

What's the most basic question you need to ask when you learn to code? Answer - How is that working? 🫪 Get your foundation right by knowing what a Codeblock is. It is the essence of every programming language. #software #fundamentals #programming #IT

🚀 Introducing CodeFindr A dedicated space to discover, organize, and truly understand code. We will be sharing: - Clean and practical code solutions - Problem-solving approaches - Key concepts from algorithms, data structures, and beyond This is more than a code dump — it’s a structured journey of learning and building. If you're into coding, learning, or improving your problem-solving skills, 👉 Follow the page and be part of the journey. #CodeFindr #Programming #Python

Mastering Time Complexity is the first step toward writing scalable code. Here’s a quick cheat sheet for common algorithm patterns every developer should knowledge . Lovely Professional University #dsa #algorithm #problemsolving #programming #softwareengineering #linkedin #optimize #developer #codequality #tech #computerscience

Daily Dose of Surviving in a Programming Contest - sometimes the real optimisation isn’t in the process, it’s in redefining what you track. In competitive programming contests especially on CodeForces, linear combination equations across multiple variables can quickly explode in complexity. But instead of tracking full values, a smarter approach is to manage remainders using modulo—shrinking the problem into something far more controllable. This matters in contests because time isn’t just about coding—it’s about how efficiently you think. This technique is itself called as Frobenius technique or problem. Here’s the thinking flow: • Problem Reading → Identify it as a linear combination / sum constraint problem • Pattern Recognition → Full values aren’t required, only divisibility or remainder matters • Constraints Analysis → Direct DP or brute force grows too large • Approach Selection → Track states using remainders modulo k • Implementation → Transition between states using (current + value) % k • Debugging → Handle cycles, duplicate states, and unreachable remainders What most people miss is this: • They try to compute exact values • When the problem only cares about equivalence classes (remainders) That shift reduces both time complexity and cognitive load under pressure. This maps directly to real systems: • Hashing, partitioning, load balancing → all rely on grouping by equivalence Efficient systems don’t track everything—they track what matters. If you’re plateauing in CP, it’s rarely about syntax—it’s about abstraction. Where I learned this trick? Try solving this question - https://lnkd.in/gpnmPQN4 Are you solving the exact problem—or the minimal version required to get the answer? Let's discuss in comments below. Follow Vishu Kalier for more such Competitive Programming insights. #CompetitiveProgramming #DSA #Algorithms #Modulo #ProblemSolving #Optimization #Coding #SystemDesign #dailydose #cfbr #datastructures #java #math #codeforces #eternal #zomato #VIT