🚀 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
Mastering OOPs in 15 Days with AlgoTutor
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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
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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
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Stack and Queue are basic topics, but they build the foundation of how systems actually work behind the scenes. Stack follows LIFO — the last thing you add is the first thing you remove. Queue follows FIFO — the first thing you add is the first thing processed. Once you understand these properly, a lot of real-world concepts like task scheduling, memory management, and request handling start making sense. Still learning by breaking concepts into real understanding instead of just memorizing them. Abdul Samad Khan @samad-developer #DataStructures #Stack #Queue #Programming #DSA #WebDevelopment #SoftwareEngineering #LearningInPublic
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Day 76 on LeetCode Arranging Coins 🪙✅ Keeping the streak alive during mid exams — focusing on clarity and consistency over complexity 💯 🔹 Approach Used in My Solution The goal was to find how many complete rows of coins can be formed. Key idea: • Start placing coins row by row • For each row i, subtract i coins from n • Continue until n is no longer enough to fill the next row • Return the number of fully completed rows This is a simple simulation approach that directly models the problem. ⚡ Complexity: • Time Complexity: O(√n) (since rows grow incrementally) • Space Complexity: O(1) 💡 Key Takeaways: • Sometimes simulation is the most intuitive solution • Practiced handling problems involving incremental patterns • Reinforced staying consistent even during busy schedules 🔥 Progress may be small, but consistency builds momentum. #LeetCode #DSA #Algorithms #DataStructures #Math #Simulation #ProblemSolving #Coding #Programming #Cpp #STL #SoftwareEngineering #ComputerScience #CodingPractice #DeveloperLife #TechJourney #CodingDaily #Consistency #100DaysOfCode #BuildInPublic #AlgorithmPractice #CodingSkills #Developers #TechCommunity #SoftwareDeveloper #EngineeringJourney
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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
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Nobody tells beginners these 5 things. 1. Readable code > clever code. 2. Asking questions is a skill, not a weakness. 3. Bugs are normal. Everyone gets them. 4. Done is better than perfect. 5. Be kind to your future self add comments. You don't need to know everything to start. #STOORAYxDEMON #LearnToCode #BeginnerDeveloper #CodingTips #TechCommunity #Coding #Programming #Technology #AI #Tech #LearnToCode #100DaysOfCode #CodeNewbie #BeginnerDeveloper #SelfTaughtDev #WebDevelopment #DevTips #CleanCode #OpenSource #CodingLife #SoftwareEngineering #JuniorDeveloper #TechCommunity #CareerGrowth #WomenInTech
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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
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We’ve moved fast: ➝ From code completion ➝ To copilots ➝ 𝗧𝗼 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝘁𝗵𝗮𝘁 𝗽𝗹𝗮𝗻𝘀, 𝗿𝗲𝗮𝘀𝗼𝗻𝘀, 𝗮𝗻𝗱 𝗲𝘅𝗲𝗰𝘂𝘁𝗲𝘀 But underneath, the developer’s role hasn’t disappeared—it has shifted. From: • Writing every line To: • Designing intent • Reviewing behavior • Governing outcomes That transition is exactly what this earlier video tried to prepare developers for. 🎥 https://lnkd.in/d-bmjSue #AgenticAI #GenAI #FutureOfWork #Programming
Artificial Intelligence For Programming | Dr. Chan Naseeb #ai #aiforprorammers #programming
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Visual Learning: Sync vs Async Made Simple Recently, I’ve been exploring the concept of Sync vs Async programming — and instead of a long explanation, I thought: why not keep it visual? Sometimes, a simple diagram can explain what paragraphs cannot. 📌 Here’s the core difference: 🔹 Synchronous (Sync) ➡️ Tasks run one by one ➡️ Each step waits for the previous one to complete (blocking) 🔹 Asynchronous (Async) ➡️ Tasks run in the background ➡️ No waiting — non-blocking & more efficient #Programming #SyncVsAsync #CodingSimplified #SoftwareDevelopment #TechLearning #DotNetCore
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Great to see really