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Coding Projects

Coding Projects

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Channel specialized for advanced concepts and projects to master: * Python programming * Web development * Java programming * Artificial Intelligence * Machine Learning Managed by: @love_data

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๐Ÿ“ˆ Analytical overview of Telegram channel Coding Projects

Channel Coding Projects (@programming_experts) in the English language segment is an active participant. Currently, the community unites 66 072 subscribers, ranking 1 981 in the Technologies & Applications category and 5 203 in the India region.

๐Ÿ“Š Audience metrics and dynamics

Since its creation on ะฝะตะฒั–ะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 66 072 subscribers.

According to the latest data from 13 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 783 over the last 30 days and by 43 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 3.54%. Within the first 24 hours after publication, content typically collects 1.30% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 336 views. Within the first day, a publication typically gains 857 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 8.
  • Thematic interests: Content is focused on key topics such as |--, algorithm, array, framework, javascript.

๐Ÿ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
โ€œChannel specialized for advanced concepts and projects to master: * Python programming * Web development * Java programming * Artificial Intelligence * Machine Learning Managed by: @love_dataโ€

Thanks to the high frequency of updates (latest data received on 14 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

66 072
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+1637 days
+78330 days
Posts Archive
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๐Ÿ”ฐ Frontend Web Development Roadmap 2025 (With Mini Projects) โ”œโ”€โ”€ ๐Ÿง  Basics of How the Web Works (HTTP, DNS, Hosting) โ”œโ”€โ”€ ๐Ÿ“„ HTML5 (Structure, Forms, Media) โ”œโ”€โ”€ ๐ŸŽจ CSS3 (Box Model, Flexbox, Grid, Animations) โ”œโ”€โ”€ ๐Ÿ–ฑ Mini Project: Personal Portfolio Website โ”œโ”€โ”€ โšก๏ธ JavaScript Fundamentals (Events, DOM, Arrays, Functions) โ”œโ”€โ”€ ๐Ÿงช Mini Project: Interactive Quiz App โ”œโ”€โ”€ โš™๏ธ Version Control with Git & GitHub โ”œโ”€โ”€ ๐Ÿ“ฑ Responsive Design with Media Queries โ”œโ”€โ”€ ๐Ÿงช Mini Project: Responsive Blog Homepage โ”œโ”€โ”€ ๐Ÿ“ฆ Introduction to NPM, VS Code Shortcuts, Emmet โ”œโ”€โ”€ โš› Intro to Frontend Frameworks: React/Vue Frontend Development Resources: https://whatsapp.com/channel/0029VaxfCpv2v1IqQjv6Ke0r ENJOY LEARNING ๐Ÿ‘๐Ÿ‘

๐—ฃ๐—ฟ๐—ฒ๐—ฝ๐—ฎ๐—ฟ๐—ถ๐—ป๐—ด ๐—ณ๐—ผ๐—ฟ ๐—ฎ๐—ป ๐—”๐—บ๐—ฎ๐˜‡๐—ผ๐—ป ๐——๐—ฎ๐˜๐—ฎ ๐—ฅ๐—ผ๐—น๐—ฒ? ๐—ฆ๐˜๐—ฎ๐—ฟ๐˜ ๐˜„๐—ถ๐˜๐—ต ๐—ง๐—ต๐—ฒ๐˜€๐—ฒ ๐—ง๐—ผ๐—ฝ ๐—ฆ๐—ค๐—Ÿ ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๏ฟฝ
๐—ฃ๐—ฟ๐—ฒ๐—ฝ๐—ฎ๐—ฟ๐—ถ๐—ป๐—ด ๐—ณ๐—ผ๐—ฟ ๐—ฎ๐—ป ๐—”๐—บ๐—ฎ๐˜‡๐—ผ๐—ป ๐——๐—ฎ๐˜๐—ฎ ๐—ฅ๐—ผ๐—น๐—ฒ? ๐—ฆ๐˜๐—ฎ๐—ฟ๐˜ ๐˜„๐—ถ๐˜๐—ต ๐—ง๐—ต๐—ฒ๐˜€๐—ฒ ๐—ง๐—ผ๐—ฝ ๐—ฆ๐—ค๐—Ÿ ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐—ค๐˜‚๐—ฒ๐˜€๐˜๐—ถ๐—ผ๐—ป๐˜€๐Ÿ˜ ๐Ÿ’ผ Why SQL Is Crucial for Amazon Interviews๐Ÿ—ฃ If youโ€™re applying for a data analyst, data engineer, or business analyst role at Amazon, expect SQL to be a major part of the interview process๐Ÿ‘จโ€๐Ÿ’ป๐Ÿ“Œ ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/4jrLrRy Practicing real Amazon SQL interview questions is the key to successโœ…๏ธ

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Artificial Intelligence isn't easy! Itโ€™s the cutting-edge field that enables machines to think, learn, and act like humans. To truly master Artificial Intelligence, focus on these key areas: 0. Understanding AI Fundamentals: Learn the basic concepts of AI, including search algorithms, knowledge representation, and decision trees. 1. Mastering Machine Learning: Since ML is a core part of AI, dive into supervised, unsupervised, and reinforcement learning techniques. 2. Exploring Deep Learning: Learn neural networks, CNNs, RNNs, and GANs to handle tasks like image recognition, NLP, and generative models. 3. Working with Natural Language Processing (NLP): Understand how machines process human language for tasks like sentiment analysis, translation, and chatbots. 4. Learning Reinforcement Learning: Study how agents learn by interacting with environments to maximize rewards (e.g., in gaming or robotics). 5. Building AI Models: Use popular frameworks like TensorFlow, PyTorch, and Keras to build, train, and evaluate your AI models. 6. Ethics and Bias in AI: Understand the ethical considerations and challenges of implementing AI responsibly, including fairness, transparency, and bias. 7. Computer Vision: Master image processing techniques, object detection, and recognition algorithms for AI-powered visual applications. 8. AI for Robotics: Learn how AI helps robots navigate, sense, and interact with the physical world. 9. Staying Updated with AI Research: AI is an ever-evolving fieldโ€”stay on top of cutting-edge advancements, papers, and new algorithms. Artificial Intelligence is a multidisciplinary field that blends computer science, mathematics, and creativity. ๐Ÿ’ก Embrace the journey of learning and building systems that can reason, understand, and adapt. โณ With dedication, hands-on practice, and continuous learning, youโ€™ll contribute to shaping the future of intelligent systems! Data Science & Machine Learning Resources: https://topmate.io/coding/914624 Credits: https://t.me/datasciencefun Like if you need similar content ๐Ÿ˜„๐Ÿ‘ Hope this helps you ๐Ÿ˜Š #ai #datascience

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GitHub isn't easy! Itโ€™s the platform that brings version control and collaboration together in one seamless experience. To truly master GitHub, focus on these key areas: 0. Understanding GitHub Basics: Learn about repositories, branches, commits, and pull requests. 1. Creating and Managing Repositories: Know how to create public and private repos, and organize your projects effectively. 2. Forking and Cloning Repos: Collaborate by forking other projects and cloning them to your local machine for development. 3. Working with Branches and Pull Requests: Manage feature branches and contribute to open-source projects using PRs. 4. Collaborating with Teams: Learn to work on shared repositories with multiple contributors using GitHubโ€™s features. 5. Understanding GitHub Issues: Track bugs, feature requests, and tasks using GitHub Issues for project management. 6. Leveraging GitHub Actions: Automate workflows, continuous integration, and deployment with GitHub Actions. 7. Writing Effective Commit Messages: Follow best practices for writing clear, readable commit messages that reflect your changes. 8. Documenting with README: Create an impactful README file to explain your project and its usage to others. 9. Staying Updated with GitHub Features: GitHub is constantly evolvingโ€”stay informed about new tools, integrations, and best practices. GitHub is not just for version controlโ€”itโ€™s the hub for collaboration, continuous learning, and project management. ๐Ÿ’ก Dive in, experiment, and share your code with the world! โณ With consistent use and collaboration, GitHub will become a vital part of your developer toolkit! ๐Ÿ“‚ Web Development Resources ENJOY LEARNING ๐Ÿ‘๐Ÿ‘

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Commonly asked System Design CONCEPT BASED interview topics - 1. Horizontal vs Vertical Partitioning: Vertical partitioning splits tables by columns, often separating different features. Horizontal partitioning splits tables by rows, distributing data across multiple servers. Vertical organizes data logically, while horizontal improves scalability + performance. 2. Apache Kafka: Kafka is a distributed streaming platform using a publish-subscribe model. It's fast due to the sequential disk I/O, zero-copy principle, and efficient batching of messages. 3. Rate Limiter: A rate limiter controls the rate of requests a client can make to a service. It prevents overload and ensures fair resource usage. 4. JWT vs OAuth vs SAML: JWT is a compact, self-contained token for secure information transmission. OAuth is an authorization framework for delegated access. SAML is an XML-based standard for exchanging authentication and authorization data. 5. Single Sign-On (SSO): SSO allows users to access multiple applications with one set of credentials. It typically uses a central authentication server and protocols like SAML/OAuth. 6. Microservices vs Monolithic Architecture: Microservices architecture breaks an application into small, independent services. Monolithic architecture is a single, tightly-coupled unit. Microservices offer scalability while monoliths are simpler to develop + deploy. 7. Reverse Proxy vs Forward Proxy: A reverse proxy sits in front of web servers, forwarding client requests to backend servers. A forward proxy sits in front of clients, forwarding their requests to the internet. Reverse proxies are used for load balancing and security, while forward proxies are used for anonymity and filtering. 8. CAP Theorem: The CAP theorem states that a distributed system can only provide two of three guarantees: Consistency, Availability, and Partition tolerance. In practice, partition tolerance is necessary, so systems must choose between consistency and availability during network partitions. 10. Efficient Caching Strategy: Implement multi-level caching (browser, CDN, application server, database). Use appropriate cache invalidation strategies (TTL, event-based). Consider cache coherence for distributed systems. Best DSA RESOURCES: https://topmate.io/coding/886874 All the best ๐Ÿ‘๐Ÿ‘

๐—ช๐—ผ๐—ฟ๐—ธ ๐—™๐—ฟ๐—ผ๐—บ ๐—›๐—ผ๐—บ๐—ฒ ๐—๐—ผ๐—ฏ ๐—ข๐—ฝ๐—ฝ๐—ผ๐—ฟ๐˜๐˜‚๐—ป๐—ถ๐˜๐˜† ๐˜„๐—ถ๐˜๐—ต ๐—ฎ๐—ป ๐—˜-๐—ฐ๐—ผ๐—บ๐—บ๐—ฒ๐—ฟ๐—ฐ๐—ฒ ๐—•๐—ฟ๐—ฎ๐—ป๐—ฑ!๐Ÿ˜ Role: SEPO - Transac
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What for what? ๐Ÿ–ผ๏ธ Frontend HTML + CSS Javascript React VueJs Angular Svelte ๐Ÿ”™ Backend: Nodejs/Express Python/Django PHP/Laravel Java C# ๐Ÿ’ฝ Database MongoDB MySQL Postgres Redis ๐Ÿ–ฅ๏ธ Desktop Electron Tairi PyQt ๐Ÿ“ฑPhones: React Native Flutter Swift Kotlin ๐Ÿ–ฅ๏ธ System Go C++ Rust

๐Ÿฑ ๐— ๐˜‚๐˜€๐˜-๐—™๐—ผ๐—น๐—น๐—ผ๐˜„ ๐—ฌ๐—ผ๐˜‚๐—ง๐˜‚๐—ฏ๐—ฒ ๐—–๐—ต๐—ฎ๐—ป๐—ป๐—ฒ๐—น๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—”๐˜€๐—ฝ๐—ถ๐—ฟ๐—ถ๐—ป๐—ด ๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐˜๐—ถ๐˜€๐˜๐˜€ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ๏ฟฝ
๐Ÿฑ ๐— ๐˜‚๐˜€๐˜-๐—™๐—ผ๐—น๐—น๐—ผ๐˜„ ๐—ฌ๐—ผ๐˜‚๐—ง๐˜‚๐—ฏ๐—ฒ ๐—–๐—ต๐—ฎ๐—ป๐—ป๐—ฒ๐—น๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—”๐˜€๐—ฝ๐—ถ๐—ฟ๐—ถ๐—ป๐—ด ๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐˜๐—ถ๐˜€๐˜๐˜€ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ๐Ÿ˜ Want to Become a Data Scientist in 2025? Start Here!๐ŸŽฏ If youโ€™re serious about becoming a Data Scientist in 2025, the learning doesnโ€™t have to be expensive โ€” or boring!๐Ÿš€ ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/4kfBR5q Perfect for beginners and aspiring prosโœ…๏ธ

Learn Node.js Easily ๐Ÿคฉ Here's all you need to get started ๐Ÿ™Œ 1. Introduction to Node.js    - What is Node.js?    - Setting up the Development Environment 2. Node.js Basics - Node.js Modules - File System Module - HTTP Module 3. Asynchronous Programming - Callbacks - Promises - Async/Await 4. Node Package Manager (NPM) - Installing Packages - Creating a package.json File - Managing Dependencies 5. Express.js Framework - Setting up Express.js - Middleware - Routing - Handling Requests and Responses 6. Template Engines - Pug - EJS - Handlebars 7. Database Integration - MongoDB and Mongoose - SQL Databases - Sequelize ORM 8. Authentication and Authorization - JWT (JSON Web Tokens) - OAuth - Passport.js 9. RESTful API Development - Creating RESTful Endpoints - CRUD Operations - API Documentation with Swagger 10. Error Handling - Error Middleware - Logging Errors 11. Testing - Unit Testing with Mocha and Chai - Integration Testing - End-to-End Testing 12. Real-Time Communication - WebSockets - Socket.io 13. File Uploads and Downloads - Handling File Uploads - Streaming Files 14. Security - Securing Node.js Applications - Helmet.js - Rate Limiting 15. Performance Optimization - Caching - Clustering - Load Balancing 16. DevOps and Deployment - Continuous Integration (CI) - Continuous Deployment (CD) - Docker and Kubernetes 17. Best Practices - Code Structure - Error Handling - Logging and Monitoring Web Development Best Resources: https://topmate.io/coding/930165 ENJOY LEARNING ๐Ÿ‘๐Ÿ‘

๐Ÿฒ ๐—•๐—ฒ๐˜€๐˜ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—ฌ๐—ผ๐˜‚๐—ง๐˜‚๐—ฏ๐—ฒ ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ๐—บ๐—ถ๐—ป๐—ด ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—•๐—ฒ๐—ด๐—ถ๐—ป๐—ป๐—ฒ๐—ฟ๐˜€ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ๐Ÿ˜ Master Pr
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Here is an A-Z list of essential programming terms: 1. Array: A data structure that stores a collection of elements of the same type in contiguous memory locations. 2. Boolean: A data type that represents true or false values. 3. Conditional Statement: A statement that executes different code based on a condition. 4. Debugging: The process of identifying and fixing errors or bugs in a program. 5. Exception: An event that occurs during the execution of a program that disrupts the normal flow of instructions. 6. Function: A block of code that performs a specific task and can be called multiple times in a program. 7. GUI (Graphical User Interface): A visual way for users to interact with a computer program using graphical elements like windows, buttons, and menus. 8. HTML (Hypertext Markup Language): The standard markup language used to create web pages. 9. Integer: A data type that represents whole numbers without any fractional part. 10. JSON (JavaScript Object Notation): A lightweight data interchange format commonly used for transmitting data between a server and a web application. 11. Loop: A programming construct that allows repeating a block of code multiple times. 12. Method: A function that is associated with an object in object-oriented programming. 13. Null: A special value that represents the absence of a value. 14. Object-Oriented Programming (OOP): A programming paradigm based on the concept of "objects" that encapsulate data and behavior. 15. Pointer: A variable that stores the memory address of another variable. 16. Queue: A data structure that follows the First-In-First-Out (FIFO) principle. 17. Recursion: A programming technique where a function calls itself to solve a problem. 18. String: A data type that represents a sequence of characters. 19. Tuple: An ordered collection of elements, similar to an array but immutable. 20. Variable: A named storage location in memory that holds a value. 21. While Loop: A loop that repeatedly executes a block of code as long as a specified condition is true. Best Programming Resources: https://topmate.io/coding/898340 Join for more: https://t.me/programming_guide ENJOY LEARNING ๐Ÿ‘๐Ÿ‘

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