Coding Projects

*💻 Real-World Coding Projects to Boost Your Resume [Part-1]* 🚀 1. *Personal Portfolio Website* – Showcase your skills, projects, and contact details using HTML, CSS, JS (or React). 2. *Weather App* – Build an app that fetches real-time weather data using APIs like OpenWeatherMap. 3. *Expense Tracker* – Track and visualize personal finances with local storage or backend integration. 4. *To-Do List with Authentication* – CRUD app with login/signup using Firebase or Node.js backend. 5. *Blog Platform* – Users can create, edit, and comment on posts. Use a CMS or build with MERN/MEAN. 6. *Chat Application* – Real-time messaging using WebSockets or Firebase Realtime DB. 7. *URL Shortener* – Shorten links with a simple backend in Python/Node and MongoDB/PostgreSQL. 8. *Quiz App* – Timed questions, scoring, and result tracking. Add a leaderboard for extra flair. 9. *E-commerce Storefront* – Product pages, cart, and checkout flow with Stripe or Razorpay integration. 10. *API for Task Management* – RESTful API with CRUD operations using Flask/Django/Express. *React ❤️ for more!*

*📚 RAM 💾 vs ROM 📀 – What’s the Difference?* *RAM (Random Access Memory) 💾:* - Purpose: Temporary memory used for processing tasks. - Volatility: *Volatile* – data is lost when power is off. ⚡ - Speed: Very fast; helps your apps and OS run smoothly. 🚀 - Usage: Stores app data, open files, OS tasks while working. 🖥️ - Upgrade: Can be increased in most systems. ⬆️ - Examples: Running a game, editing a file, multitasking. 🎮📂 - Control: Read/Write – both operations are allowed. ✍️ - Dependency: Crucial for speed and performance. 🧠 *ROM (Read Only Memory) 📀:* - Purpose: Permanent memory used to store firmware. - Volatility: *Non-volatile* – data stays even without power. 🔋 - Speed: Slower than RAM. 🐢 - Usage: Stores boot instructions, BIOS, system firmware. 🛠️ - Upgrade: Not usually upgradable. 🔒 - Examples: Power-on start instructions, embedded system code. ⚙️ - Control: Mostly *read-only*, not meant for writing. 📖 - Dependency: Essential for system startup. 🧩 💡 *Pro Tip:* RAM = Working memory 🛠️, ROM = Startup guide 📘 React with 👍❤️ if this clarified it for you!

*Here are the curated GitHub links for the Coding Projects:* (You can decide the best one for yourself) 1• *To-Do List App* ◦ Explore many open-source to-do list apps: https://github.com/topics/todo-list-app 2• *Weather App* ◦ Real-time weather app projects: https://github.com/topics/weather-app 3• *Portfolio Website* ◦ Portfolio website templates and projects: https://github.com/topics/portfolio-website 4• *Calculator* ◦ Calculator app projects: https://github.com/topics/calculator 5• *Blog Platform* ◦ Node.js & Django blog projects: https://github.com/topics/blog-website ◦ Curated list (Node.js, Django, etc.): https://github.com/practical-tutorials/project-based-learning 6• *Chat App* ◦ Real-time chat apps (WebSockets, Firebase): https://github.com/topics/real-time-chat-app ◦ Firebase chat app example: https://firebase.google.com/codelabs/firebase-web 7• *Expense Tracker* ◦ Expense tracker app projects: https://github.com/topics/expense-tracker You can find many beginner-friendly repositories under each topic. Just pick one, fork it, and start learning! 🚀 *React ❤️ for more*

*JAVASCRIPT PROJECT IDEAS*💡 Basic ➡️ Advanced BASIC PROJECTS👇 ⭐ To-do list app ⭐ Weather app ⭐ Calculator ⭐ Form validation INTERMEDIATE PROJECTS 👇 ⭐ Chat application ⭐ Interactive map ⭐ Quiz/ music app ⭐ Image Gallery ADVANCED PROJECTS 👇 ⭐ E-commerce platform ⭐ Social media dashboard ⭐ Chat bot ⭐ Code editor *React ❤️ for more*

Google Interview Experience Role: L4 Software Engineer Compensation: 45 L + 10 Application Mode: Direct Application 𝗥𝗼𝘂𝗻𝗱 𝟭: 𝗦𝗰𝗿𝗲𝗲𝗻𝗶𝗻𝗴 𝗥𝗼𝘂𝗻𝗱 𝟭 (𝗗𝗦𝗔 + 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗙𝗼𝗰𝘂𝘀) - Problem: Given a list of points forming overlapping rectangles on an XY plane, determine a vertical line that divides the total area into two equal halves. - Edge conditions: - Rectangles may overlap. - The vertical line can pass through rectangles. - Similar: Rectangle Area II (https://lnkd.in/d-QQCup2) 𝗥𝗼𝘂𝗻𝗱 𝟮: 𝗦𝗰𝗿𝗲𝗲𝗻𝗶𝗻𝗴 𝗥𝗼𝘂𝗻𝗱 𝟮 (𝗗𝗦𝗔) - Problem: Design a function to return all subarrays from an integer array that form strict arithmetic sequences with a common difference of ±1. - Additional task: Write unit test cases for boundary and edge conditions. - Similar: Arithmetic Subarrays (https://lnkd.in/d2h87T_Q) 𝗥𝗼𝘂𝗻𝗱 𝟯: 𝗢𝗻𝘀𝗶𝘁𝗲 𝗥𝗼𝘂𝗻𝗱 𝟭 (𝗖𝗼𝗻𝗰𝘂𝗿𝗿𝗲𝗻𝗰𝘆 + 𝗦𝗰𝗵𝗲𝗱𝘂𝗹𝗶𝗻𝗴) - Problem modeled around a job scheduler system with access to 2 blocking APIs: - countWords() → blocking call, doesn't imply task is done - isTaskCompleted() → confirms completion - Goal: Efficiently schedule tasks on N machines such that: - Jobs are evenly distributed - Minimal use of blocking APIs - Job completion status is monitored accurately 𝗥𝗼𝘂𝗻𝗱 𝟰: 𝗢𝗻𝘀𝗶𝘁𝗲 𝗥𝗼𝘂𝗻𝗱 𝟮 (𝗗𝗲𝘀𝗶𝗴𝗻 + 𝗔𝗣𝗜 𝗧𝗵𝗶𝗻𝗸𝗶𝗻𝗴) - Design a Library to evaluate Boolean expressions with multiple variables. - Expressions can include AND, OR, NOT, and parentheses. - Expectation: - Design user-facing API - Handle expressions like ((a || b) && c) and a && ~a - Evaluate whether the expression can be true in any configuration - Discuss space/time complexity (Brute-force: O(2^n)) - Also asked to define: - Public APIs - Expression parsing approach - Internal classes and method signatures - Similar: Remove Invalid Parentheses (https://lnkd.in/du59E4MS) 𝗥𝗼𝘂𝗻𝗱 𝟱: 𝗢𝗻𝘀𝗶𝘁𝗲 𝗥𝗼𝘂𝗻𝗱 𝟯 (𝗗𝗲𝘀𝗶𝗴𝗻 + 𝗥𝗮𝗻𝗱𝗼𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻) - Problem: Design a music playlist shuffler that returns songs randomly, with the constraint: - No song should repeat within last K plays - Expectation: - Randomness close to rand() in C++ - O(1) time complexity - O(K) space - Additional task: Write test cases and explain tradeoffs - Similar: Shuffle an Array (https://lnkd.in/dpKA-JZ2) 𝗥𝗼𝘂𝗻𝗱 𝟲: 𝗚𝗼𝗼𝗴𝗹𝗶𝗻𝗲𝘀𝘀 (𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝗿𝗮𝗹 𝗥𝗼𝘂𝗻𝗱) - Questions asked: - How would you handle an underperforming team? - What strategies would you use to resolve team conflicts? - How do you help a teammate grow technically? *React ❤️ for more*

*👨‍💻 Top 7 Coding Projects for Freshers (with GitHub Links)* 1. *To-Do List App* Learn CRUD operations, UI handling, and local storage. GitHub: [To-Do List App](https://github.com/ameya-kawade/Blog-platform) 2. *Weather App* Use real-time APIs to fetch and display weather data. GitHub: [Weather App](https://github.com/basicrhovic/Weather-App) 3. *Portfolio Website* Showcase your skills and projects using HTML, CSS & JS. GitHub: [Portfolio Website](https://github.com/akashyap2013/PortFolio_Website) 4. *Calculator* Great for mastering logic and UI basics. GitHub: [Calculator](https://github.com/ameya-kawade/Blog-platform) 5. *Blog Platform* Build a simple blog with login, posts & comments (Node.js or Django). GitHub: [Blog Platform](https://github.com/ameya-kawade/Blog-platform) 6. *Chat App* Use WebSockets or Firebase for real-time messaging. GitHub: [Chat App](https://github.com/vasanthsai14/Chat-App-Using-WebSockets) 7. *Expense Tracker* Track and visualize income/spending with charts and local storage. GitHub: [Expense Tracker](https://github.com/princid/Expense-Tracker) *Double Tap ❤️ if you found this helpful!*

*9 OOP Design Patterns You Must Know* These patterns can be divided into 3 categories: A - Creational Patterns Deal with object creation mechanism to decouple the client code from concrete classes. 1 - Factory Pattern: Centralizes object creation logic and returns different subclasses based on input 2 - Singleton Pattern: Ensures only one instance of a class exists and provides global access to it. 3 - Builder Pattern: Constructs complex objects step-by-step, allowing optional configuration. B - Structural Patterns Help compose classes and objects into larger structures. 1 - Adapter Pattern: Allows incompatible interfaces to work together by translating one interface into another. 2 - Decorator Pattern: Adds new behavior to objects dynamically without altering their original structure. 3 - Proxy Pattern: Acts as a placeholder for accessing another object. C - Behavioral Patterns Focus on communication and interaction between objects. 1 - Strategy Pattern: Allows selecting an algorithm or behavior from a family of interchangeable strategies at runtime. 2 - Observer Pattern: Enables a one-to-many dependency so that when one object changes state, all its dependents are notified. 3 - Command Pattern: An object encapsulates all information needed to perform an action or trigger an event. *React ❤️ for more*

Design Zomato? Design Netflix? No, start with these 3 underrated problems. Everyone jumps to building complicated systems on day one of system design prep. But no one talks about the real learning in the underrated ones. Here are 3 simple but most-asked problems to start with: 1. Design a Rate Limiter - Almost every system needs it. - https://lnkd.in/dkhJ4eH7 - Teaches you: API Gateway, Token Bucket, Redis, and sliding window logic. 2. Design a Logging System - Helps with monitoring, debugging, and observability. - https://lnkd.in/dr72ppZi - Teaches you: Log aggregators, file systems, consumers, Kafka, and ElasticSearch. 3. Design a Pastebin / Code Sharing App - Simple but powerful use-case. - https://lnkd.in/dVXi-meV - Teaches you: TTL, DB storage, scaling reads/writes, and short link generation. *React ❤️ for more*

*👨‍💻 Top 7 Coding Projects for Freshers* 1. *To-Do List App* Learn CRUD operations, UI handling, and local storage. 2. *Weather App* Use real-time APIs to fetch and display weather data. 3. *Portfolio Website* Showcase your skills and projects using HTML, CSS & JS. 4. *Calculator* Great for mastering logic and UI basics. 5. *Blog Platform* Build a simple blog with login, posts & comments (Node.js or Django). 6. *Chat App* Use WebSockets or Firebase for real-time messaging. 7. *Expense Tracker* Track and visualize income/spending with charts and local storage. *React ❤️ if you want GitHub links or tutorials!*

Here are 40 most asked DSA questions to ace your next interview - 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 (𝗗𝗣): 1. How do you find the nth Fibonacci number using dynamic programming? 2. Write a dynamic programming solution for the 0/1 knapsack problem. 3. Memoization to optimize recursive solutions in dynamic programming? 4. Implement a dynamic programming algorithm to find the longest common subsequence of two strings. 5. The coin change problem. 6. Tabulation approach in dynamic programming. 𝗕𝗮𝗰𝗸𝘁𝗿𝗮𝗰𝗸𝗶𝗻𝗴: 7. Backtracking algorithm to solve the N-Queens problem. 8. Generate all permutations of a given set using backtracking? 9. Implement backtracking to solve the Sudoku puzzle. 10. Subset sum problem. 11. Graph coloring problem using backtracking. 12. Write a backtracking algorithm to find the Hamiltonian cycle in a graph. 𝗛𝗮𝘀𝗵𝗶𝗻𝗴: 13. Implement a hash table using separate chaining. 14. First non-repeating character in a string using hashing. 15. Collision resolution techniques in hashing. 16. Write a function to solve the two-sum problem using hashing. 17. How can you implement a hash set data structure? 18. Count the frequency of elements in an array using hashing. 𝗛𝗲𝗮𝗽: 19. Implement a priority queue using a min-heap. 20. How do you merge K sorted arrays using a min-heap? 21. Write a function to perform heap sort algorithm. 22. Find the kth largest element in an array using a min-heap. 23. Implement a priority queue using a min-heap. 24. How do you build a max heap from an array? 𝗧𝗿𝗶𝗲𝘀: 25. Implement a trie data structure. 26. Write a function to search for a word in a trie. 27. How can you implement autocomplete feature using a trie? 28. Deleting a word from a trie. 30. Write a function to find all words matching a pattern in a trie. 𝗚𝗿𝗲𝗲𝗱𝘆 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀: 31. Solve the activity selection problem using a greedy algorithm. 32. Implement Huffman coding using a greedy algorithm. 33. Write a function to find the minimum spanning tree using Prim's algorithm. 34. Coin change problem. 35. Dijkstra's algorithm using a greedy approach. 36. Implement the job sequencing problem using a greedy algorithm. 37. Stack Vs queue. 38. breadth-first search (BFS) and depth-first search (DFS) traversal 39. Concept of big O notation. 40. What is an AVL tree? Explain its properties and how it maintains balance during insertion and deletion operations. *React ❤️ for more*