Coding Interview Resources

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Top 9 websites for practicing algorithms and Data structure. ⛓ https://www.hackerrank.com/ ⛓ https://leetcode.com/ ⛓ https://www.codewars.com/ ⛓ https://www.hackerearth.com/for-developers ⛓ https://coderbyte.com/ ⛓ https://www.coursera.org/browse/computer-science/algorithms ⛓ https://www.codechef.com/ ⛓ https://codeforces.com/ ⛓ https://www.geeksforgeeks.org/

𝟰 𝗠𝘂𝘀𝘁-𝗞𝗻𝗼𝘄 𝗙𝗿𝗲𝗲 𝗦𝗤𝗟 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗳𝗼𝗿 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁𝘀😍 Struggling to learn SQL as a beginner data analyst? You’re not alone — and you don’t have to stay stuck👋 Here are 4 top-notch, beginner-friendly SQL courses that are 100% free🎯 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/44lQvmw Enroll For FREE & Get Certified 🎓️

Your biggest enemy 𝐅𝐄𝐀𝐑 𝐨𝐟 𝐑𝐞𝐣𝐞𝐜𝐭𝐢𝐨𝐧 People hesitate to apply for many opportunities just because of fear of rejection. However, not applying means you are automatically rejecting yourself. They usually think I will start applying after 6-8 months with full preparation. Do you really think it will work ??? Interview calls usually take months 😅 My suggestion would be to start applying after 10 days to 1 month of preparation . Try to give as many interviews as you can. In this way, you will learn 👇🏻 🌴 Frequently asked questions 🌴 Interview pattern 🌴 How to tweak your answers? Give a try ,even in the worst scenario, you will get some interview experience. That experience will eventually help you in the future All the best 👍👍

Git Commands 🛠 git init – Initialize a new Git repository 📥 git clone – Clone a repository 📊 git status – Check the status of your repository ➕ git add – Add a file to the staging area 📝 git commit -m "message" – Commit changes with a message 🚀 git push – Push changes to a remote repository ⬇️ git pull – Fetch and merge changes from a remote repository Branching 📌 git branch – List all branches 🌱 git branch – Create a new branch 🔄 git checkout – Switch to a branch 🔗 git merge – Merge a branch into the current branch ⚡️ git rebase – Apply commits on top of another branch Undo & Fix Mistakes ⏪ git reset --soft HEAD~1 – Undo the last commit but keep changes ❌ git reset --hard HEAD~1 – Undo the last commit and discard changes 🔄 git revert – Create a new commit that undoes a specific commit Logs & History 📖 git log – Show commit history 🌐 git log --oneline --graph --all – View commit history in a simple graph Stashing 📥 git stash – Save changes without committing 🎭 git stash pop – Apply stashed changes and remove them from stash Remote & Collaboration 🌍 git remote -v – View remote repositories 📡 git fetch – Fetch changes without merging 🕵️ git diff – Compare changes Don’t forget to react ❤️ if you’d like to see more content like this!

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Want to get started with System design interview preparation, start with these 👇 1. Learn to understand requirements 2. Learn the difference between horizontal and vertical scaling. 3. Study latency and throughput trade-offs and optimization techniques. 4. Understand the CAP Theorem (Consistency, Availability, Partition Tolerance). 5. Learn HTTP/HTTPS protocols, request-response lifecycle, and headers. 6. Understand DNS and how domain resolution works. 7. Study load balancers, their types (Layer 4 and Layer 7), and algorithms. 8. Learn about CDNs, their use cases, and caching strategies. 9. Understand SQL databases (ACID properties, normalization) and NoSQL types (key–value, document, graph). 10. Study caching tools (Redis, Memcached) and strategies (write-through, write-back, eviction policies). 11. Learn about blob storage systems like S3 or Google Cloud Storage. 12. Study sharding and horizontal partitioning of databases. 13. Understand replication (leader–follower, multi-leader) and consistency models. 14. Learn failover mechanisms like active-passive and active-active setups. 15. Study message queues like RabbitMQ, Kafka, and SQS. 16. Understand consensus algorithms such as Paxos and Raft. 17. Learn event-driven architectures, Pub/Sub models, and event sourcing. 18. Study distributed transactions (two-phase commit, sagas). 19. Learn rate-limiting techniques (token bucket, leaky bucket algorithms). 20. Study API design principles for REST, GraphQL, and gRPC. 21. Understand microservices architecture, communication, and trade-offs with monoliths. 22. Learn authentication and authorization methods (OAuth, JWT, SSO). 23. Study metrics collection tools like Prometheus or Datadog. 24. Understand logging systems (e.g., ELK stack) and tracing tools (OpenTelemetry, Jaeger). 25.Learn about encryption (data at rest and in transit) and rate-limiting for security. 26. And then practise the most commonly asked questions like URL shorteners, chat systems, ride-sharing apps, search engines, video streaming, and e-commerce websites Coding Interview Resources: https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X

9 advanced coding project ideas to level up your skills: 🛒 E-commerce Website — manage products, cart, payments 🧠 AI Chatbot — integrate NLP and machine learning 🗃️ File Organizer — automate file sorting using scripts 📊 Data Dashboard — build interactive charts with real-time data 📚 Blog Platform — full-stack project with user authentication 📍 Location Tracker App — use maps and geolocation APIs 🏦 Budgeting App — analyze income/expenses and generate reports 📝 Markdown Editor — real-time preview and formatting 🔍 Job Tracker — store, filter, and search job applications Coding Projects: https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502 ENJOY LEARNING 👍👍

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Programmers 💪😂

𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗣𝗿𝗲𝗺𝗶𝘂𝗺 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍 Learn from top faculty & experts - Become a skilled professional  - Learn from the best - Learn by doing - Learn with AI Get FREE Course Review & Start Learning  𝐋𝐢𝐧𝐤 👇:- https://pdlink.in/41VIuSA Enroll Now & Get a Course Completion Certification🎓

Important Sorting Algorithms- Bubble Sort: Bubble Sort is the most basic sorting algorithm, and it works by repeatedly swapping adjacent elements if they are out of order. Merge Sort: Merge sort is a sorting technique that uses the divide and conquer strategy. Quicksort: Quicksort is a popular sorting algorithm that performs n log n comparisons on average when sorting an array of n elements. It is a more efficient and faster sorting algorithm. Heap Sort: Heap sort works by visualizing the array elements as a special type of complete binary tree known as a heap. Important Searching Algorithms- Binary Search: Binary search employs the divide and conquer strategy, in which a sorted list is divided into two halves and the item is compared to the list’s middle element. If a match is found, the middle element’s location is returned. Breadth-First Search(BFS): Breadth-first search is a graph traversal algorithm that begins at the root node and explores all neighboring nodes. Depth-First Search(DFS): The depth-first search (DFS) algorithm begins with the first node of the graph and proceeds to go deeper and deeper until we find the goal node or node with no children.

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What's Flutter ? 🐦👇 1. Flutter is an open-source UI toolkit from Google for building natively compiled applications. 2. It enables cross-platform development for mobile, web, and desktop from a single codebase. 3. Uses Dart programming language, focusing on a fast and fluid user experience. 4. Features a rich set of pre-designed widgets and tools for rapid and easy UI creation. 5. Offers high performance close to native app speed, with a hot reload feature for quick development iterations. #techinfo

Top Programming Languages for Beginners 👆

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Top 5 Websites Every Developer Should Bookmark 🔖💡 1. DevDocs – All-in-one fast documentation ⚡ 2. CanIUse – Check browser support like a pro 🌍 3. Roadmap .sh – Visual guides to grow your dev career 🗺️ 4. JSONLint – Instantly validate & format JSON 🧹 5. DataSimplifier – Free Data Analytics Resources 🎯 React ❤️ for more like this #tech

Roadmap to learn Devops 👆

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