SOLID Principles Guide for Cleaner Code

Solving hundreds of LeetCode questions isn’t the goal. Mastering a focused set is. Most coding interviews aren’t about solving something completely new - they’re about recognizing familiar patterns quickly. In reality, a large chunk of questions come from a limited set of concepts 👇 ✓ Two Pointers ✓ Sliding Window ✓ Binary Search ✓ DFS / BFS ✓ Dynamic Programming ✓ Backtracking ✓ Fast & Slow Pointers ✓ Merge Intervals ✓ Top K Elements ✓ Tree Traversals 🎯 A more effective way to prepare For each concept: • First, understand the intuition behind it (~30 mins) • Solve a few easy problems to spot repetition • Move to medium-level questions to build confidence • Try one hard problem to challenge your thinking • Note down patterns/templates for revision → Then repeat for the next concept Why this approach works 👇 When you see a question in an interview, you won’t feel stuck - you’ll recognize the pattern and know how to approach it. 📌 What most candidates realize too late: Strong fundamentals and pattern recognition carry most of the weight. Complex tricks only add a small edge. Be intentional with your prep. Random practice won’t get you far 🚀 👉 Follow Ritik Jain for simple, practical DSA strategies and interview prep tips #DSA #LeetCode #CodingInterview #SoftwareEngineering #TechCareers #InterviewPrep #CareerGrowth

🚀 Day 40 of #100DaysOfCode 💡 Solved: Generate Parentheses Today’s problem focused on Backtracking, one of the most important concepts for coding interviews. 🔍 Problem Summary: Given n pairs of parentheses, generate all combinations of well-formed parentheses. 🧠 Key Learning: Instead of generating all combinations and filtering, we build only valid ones step by step. ⚙️ Approach: Add "(" when we still have openings left Add ")" only when it keeps the sequence valid Use recursion (backtracking) to explore all possibilities ✨ Why this matters: This problem strengthens: Recursion thinking Decision making at each step Writing optimized solutions without brute force 📈 Complexity: Time → Catalan Number (~ O(4ⁿ / √n)) Space → O(n) 🔥 Example (n = 3): ((())) (()()) (())() ()(()) ()()() 💬 Every day I’m getting more comfortable with problem-solving and patterns! #Java #LeetCode #Backtracking #CodingJourney #SoftwareDevelopment #PlacementPreparation #100DaysOfCode

Cracking tech interviews isn’t just about solving random questions, it’s about mastering patterns. Platforms like LeetCode focus on problem-solving approaches that repeat across questions, making preparation smarter and more efficient🧑💻 From sliding window to dynamic programming, understanding these core patterns can significantly boost your confidence and performance. Instead of memorizing solutions, focus on building logic and recognizing patterns—it’s the real game changer💻 Consistency, practice, and the right strategy can turn your preparation into results. Start small, stay disciplined, and level up step by step🚀 #LeetCode #CodingInterview #TechCareers #ProblemSolving #DSA #SoftwareEngineering #CareerGrowth #LearnToCode #Tutortacademy

OOPs Notes for Interview Prep Recently revised Object-Oriented Programming concepts and compiled them into structured handwritten notes for quick revision. Focused on: • Core principles (Encapsulation, Abstraction, Inheritance, Polymorphism) • Interview-oriented questions • Clear understanding over memorization Also referred to: https://lnkd.in/gNV8XtJq https://lnkd.in/g8mYSNHR https://lnkd.in/gfVPgfBm Simple approach: build your own notes, revise consistently, and focus on clarity. #OOPs #InterviewPreparation #SoftwareEngineering #Placements

I built CodePrep to make coding interview prep feel more like a real interview and less like grinding random problems and allow everyone to ace interviews without paying money for platforms like leetcode premium. Most prep platforms tell you whether your code passes. I wanted something that also helps with the parts that actually matter in interviews: thinking clearly, handling pressure, explaining tradeoffs, and improving from session to session. CodePrep includes: - classic coding problems across easy, medium, and hard - progressive hints and editorials - a built-in coding workspace with run, submit, notes, saved drafts and even debugging - streaks, XP, badges, leaderboard, and activity tracking - CodePair-style interview simulations for frontend, backend, and full-stack practice - Post-Interview Debrief feedback on problem framing, edge cases, code clarity, tradeoff explanation, and speed vs correctness If you want to try it, here’s the link: https://codeprep.net I’d really appreciate any feedback, especially from people who’ve done technical interviews recently. What’s one feature you wish interview prep tools had? We take feedback in the feedback link of the website so feel free to submit anything there and I will try to implement it as well #buildinpublic #webdevelopment #softwareengineering #reactjs #aws #codinginterview #interviewprep #fullstack #programming #devtools

I solved 400+ LeetCode problems. Here’s the truth no one tells you 👇 It’s not about how many problems you solve. It’s about how many patterns you master. What actually worked for me: → Sliding Window for substring problems→ Two Pointers for array optimization→ DP for breaking complex problems→ Graphs for real interview-level questions Biggest mistake I made? Solving randomly without revision. What I changed: ✔ Focused on patterns✔ Revisited problems multiple times✔ Understood “why” instead of memorizing If you're preparing for coding interviews: Don’t chase numbers. Chase understanding. #LeetCode #DSA #CodingInterview #SDE

𝗝𝘂𝘀𝘁 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝗽𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻. Most people do LeetCode like this: Solve random questions Forget patterns Repeat same mistakes 𝗧𝗵𝗮𝘁’𝘀 𝘄𝗵𝘆 𝗽𝗿𝗼𝗴𝗿𝗲𝘀𝘀 𝗶𝘀 𝘀𝗹𝗼𝘄. Because interviews don’t test how many problems you solved. 𝗧𝗵𝗲𝘆 𝘁𝗲𝘀𝘁 𝗵𝗼𝘄 𝘆𝗼𝘂 𝘁𝗵𝗶𝗻𝗸. 𝗧𝗵𝗶𝘀 𝗗𝗼𝗰 𝗵𝗲𝗹𝗽𝘀 𝘆𝗼𝘂 𝗳𝗶𝘅 𝘁𝗵𝗮𝘁: Arrays Linked Lists Trees Graphs Heaps Dynamic Programming All in one structured place #LeetCode #DSA #CodingInterview #SoftwareEngineering #Programming #TechCareers

🚀 My Interview Preparation Journey Most people *memorize* star patterns. Today, I tried to **understand the logic behind them.** Here’s what I learned 👇 ✨ Golden Rules: • Rows decide the height (i controls lines) • Columns depend on pattern type → Fixed: j ≤ n → Increasing: j ≤ i → Decreasing: j ≤ n - i ✨ Pyramid Pattern Logic: • Spaces = n - i • Stars = 2*i - 1 ✨ Real Skill (Important 🔥) Whenever you see a pattern, ask: 1. How many rows? 2. What changes per row? 3. How many spaces? 4. Are stars increasing or decreasing? This completely changed how I approach problems. 📌 Sharing my handwritten notes for better understanding. Consistency > Perfection. Let’s grow step by step. 🚀 #learninginpublic #dsa #javascript #python #coding #programming #interviewpreparation #100daysofcode

🚀 Capstone Project Update – Phase 1 Completed The first phase of the capstone project “Automated Technical Interview API (Interview Lab)” has been successfully completed. 🔧 Phase 1 Overview: API Development This phase focused on building the foundation of an online coding interview system, where users can submit code and receive structured outputs. Key accomplishments: Development of a backend API using FastAPI and Uvicorn Implementation of request routing and validation Design of structured JSON responses Creation of core endpoints: GET / → Health check POST /submit → Code submission The API is fully functional and testable through Swagger UI, providing a solid base for further system development. 🧠 Key Focus Areas: Clean API design and architecture Input validation and error handling Structured and consistent response formats 🔜 Upcoming Phases: Integration with PostgreSQL for storing submissions Secure code execution using Docker containers Development of a test case evaluation engine End-to-end system integration This marks an important step toward building a scalable and secure technical interview platform. #DataScience #BackendDevelopment #FastAPI #Python #SoftwareEngineering #Projects

Cracking programming interviews isn’t about luck it’s about preparation. I came across these Top 50 C Programming Interview Questions, and honestly, they cover almost everything you need: 💡 From fundamentals to advanced concepts: • Data types, pointers, and memory management • malloc() vs calloc(), recursion, and structures • Static vs dynamic memory allocation 🎯 Whether you're: • A beginner building core concepts • A student revising before exams • Preparing for technical interviews This kind of structured practice can make a real difference. 🚀 Strong fundamentals = Strong interview performance. 📌 Save this post for revision 🔁 Share it with someone preparing for coding interviews Follow Rohit Kushwaha for more valuable content #Programming #CProgramming #CodingInterview #DSA #InterviewPrep #Developers #TechCareers #LearnToCode