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Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

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Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data

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📈 تحلیل کانال تلگرام Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

کانال Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 56 109 مشترک است و جایگاه 2 288 را در دسته فناوری و برنامه‌ها و رتبه 6 119 را در منطقه الهند دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 56 109 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 28 اوت, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر -81 و در ۲۴ ساعت گذشته برابر 1 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 1.81% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 0.71% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 1 013 بازدید دریافت می‌کند. در اولین روز معمولاً 400 بازدید جمع‌آوری می‌شود.
  • واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 2 است.
  • علایق موضوعی: محتوا بر موضوعات کلیدی مانند algorithm, structure, stack, javascript, programming تمرکز دارد.

📝 توضیح و سیاست محتوایی

نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data

به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 29 اوت, 2026)، کانال همواره به‌روز و دارای دسترسی بالاست. تحلیل‌ها نشان می‌دهد مخاطبان به‌طور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامه‌ها تبدیل کرده‌اند.

56 109
مشترکین
+124 ساعت
-597 روز
-8130 روز
آرشیو پست ها
Web Development Beginner Roadmap 🌐💻 📂 Start Here ∟📂 Understand How the Web Works (Client-Server, HTTP) ∟📂 Set Up Code Editor (VS Code) & Browser DevTools 📂 Front-End Basics ∟📂 HTML: Structure of Webpages ∟📂 CSS: Styling & Layouts ∟📂 JavaScript: Interactivity 📂 Advanced Front-End ∟📂 Responsive Design (Media Queries, Flexbox, Grid) ∟📂 CSS Frameworks (Bootstrap, Tailwind CSS) ∟📂 JavaScript Libraries (jQuery basics) 📂 Version Control ∟📂 Git & GitHub Basics 📂 Back-End Basics ∟📂 Understanding Servers & Databases ∟📂 Learn a Back-End Language (Node.js/Express, Python/Django, PHP) ∟📂 RESTful APIs & CRUD Operations 📂 Databases ∟📂 SQL Basics (MySQL, PostgreSQL) ∟📂 NoSQL Basics (MongoDB) 📂 Full-Stack Development ∟📂 Connect Front-End & Back-End ∟📂 Authentication & Authorization Basics 📂 Deployment & Hosting ∟📂 Hosting Websites (Netlify, Vercel, Heroku) ∟📂 Domain & SSL Basics 📂 Practice Projects ∟📌 Personal Portfolio Website ∟📌 Blog Platform ∟📌 Simple E-commerce Site 📂 ✅ Next Steps ∟📂 Learn Frameworks (React, Angular, Vue) ∟📂 Explore DevOps Basics ∟📂 Build Real-World Projects React "❤️" for more!

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30-day Roadmap plan for SQL covers beginner, intermediate, and advanced topics 👇 Week 1: Beginner Level Day 1-3: Introduction and Setup 1. Day 1: Introduction to SQL, its importance, and various database systems. 2. Day 2: Installing a SQL database (e.g., MySQL, PostgreSQL). 3. Day 3: Setting up a sample database and practicing basic commands. Day 4-7: Basic SQL Queries 4. Day 4: SELECT statement, retrieving data from a single table. 5. Day 5: WHERE clause and filtering data. 6. Day 6: Sorting data with ORDER BY. 7. Day 7: Aggregating data with GROUP BY and using aggregate functions (COUNT, SUM, AVG). Week 2-3: Intermediate Level Day 8-14: Working with Multiple Tables 8. Day 8: Introduction to JOIN operations. 9. Day 9: INNER JOIN and LEFT JOIN. 10. Day 10: RIGHT JOIN and FULL JOIN. 11. Day 11: Subqueries and correlated subqueries. 12. Day 12: Creating and modifying tables with CREATE, ALTER, and DROP. 13. Day 13: INSERT, UPDATE, and DELETE statements. 14. Day 14: Understanding indexes and optimizing queries. Day 15-21: Data Manipulation 15. Day 15: CASE statements for conditional logic. 16. Day 16: Using UNION and UNION ALL. 17. Day 17: Data type conversions (CAST and CONVERT). 18. Day 18: Working with date and time functions. 19. Day 19: String manipulation functions. 20. Day 20: Error handling with TRY...CATCH. 21. Day 21: Practice complex queries and data manipulation tasks. Week 4: Advanced Level Day 22-28: Advanced Topics 22. Day 22: Working with Views. 23. Day 23: Stored Procedures and Functions. 24. Day 24: Triggers and transactions. 25. Day 25: Windows Function Day 26-30: Real-World Projects 26. Day 26: SQL Project-1 27. Day 27: SQL Project-2 28. Day 28: SQL Project-3 29. Day 29: Practice questions set 30. Day 30: Final review and practice, explore advanced topics in depth, or work on a personal project. Like for more Hope it helps :)

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When preparing for an SQL project-based interview, the focus typically shifts from theoretical knowledge to practical application. Here are some SQL project-based interview questions that could help assess your problem-solving skills and experience: 1. Database Design and Schema - Question: Describe a database schema you have designed in a past project. What were the key entities, and how did you establish relationships between them? - Follow-Up: How did you handle normalization? Did you denormalize any tables for performance reasons? 2. Data Modeling - Question: How would you model a database for an e-commerce application? What tables would you include, and how would they relate to each other? - Follow-Up: How would you design the schema to handle scenarios like discount codes, product reviews, and inventory management? 3. Query Optimization - Question: Can you discuss a time when you optimized an SQL query? What was the original query, and what changes did you make to improve its performance? - Follow-Up: What tools or techniques did you use to identify and resolve the performance issues? 4. ETL Processes - Question: Describe an ETL (Extract, Transform, Load) process you have implemented. How did you handle data extraction, transformation, and loading? - Follow-Up: How did you ensure data quality and consistency during the ETL process? 5. Handling Large Datasets - Question: In a project where you dealt with large datasets, how did you manage performance and storage issues? - Follow-Up: What indexing strategies or partitioning techniques did you use? 6. Joins and Subqueries - Question: Provide an example of a complex query you wrote involving multiple joins and subqueries. What was the business problem you were solving? - Follow-Up: How did you ensure that the query performed efficiently? 7. Stored Procedures and Functions - Question: Have you created stored procedures or functions in any of your projects? Can you describe one and explain why you chose to encapsulate the logic in a stored procedure? - Follow-Up: How did you handle error handling and logging within the stored procedure? 8. Data Integrity and Constraints - Question: How did you enforce data integrity in your SQL projects? Can you give examples of constraints (e.g., primary keys, foreign keys, unique constraints) you implemented? - Follow-Up: How did you handle situations where constraints needed to be temporarily disabled or modified? 9. Version Control and Collaboration - Question: How did you manage database version control in your projects? What tools or practices did you use to ensure collaboration with other developers? - Follow-Up: How did you handle conflicts or issues arising from multiple developers working on the same database? 10. Data Migration - Question: Describe a data migration project you worked on. How did you ensure that the migration was successful, and what steps did you take to handle data inconsistencies or errors? - Follow-Up: How did you test the migration process before moving to the production environment? 11. Security and Permissions - Question: In your SQL projects, how did you manage database security? - Follow-Up: How did you handle encryption or sensitive data within the database? 12. Handling Unstructured Data - Question: Have you worked with unstructured or semi-structured data in an SQL environment? - Follow-Up: What challenges did you face, and how did you overcome them? 13. Real-Time Data Processing    - Question: Can you describe a project where you handled real-time data processing using SQL? What were the key challenges, and how did you address them?    - Follow-Up: How did you ensure the performance and reliability of the real-time data processing system? Be prepared to discuss specific examples from your past work and explain your thought process in detail. Here you can find SQL Interview Resources👇 https://t.me/DataSimplifier Share with credits: https://t.me/sqlspecialist Hope it helps :)

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Web Development Roadmap | |-- Fundamentals | |-- Web Basics | | |-- Internet and HTTP/HTTPS Protocols | | |-- Domain Names and Hosting | | |-- Client-Server Architecture | | | |-- HTML (HyperText Markup Language) | | |-- Structure of a Web Page | | |-- Semantic HTML | | |-- Forms and Validations | | | |-- CSS (Cascading Style Sheets) | | |-- Selectors and Properties | | |-- Box Model | | |-- Responsive Design (Media Queries, Flexbox, Grid) | | |-- CSS Frameworks (Bootstrap, Tailwind CSS) | | | |-- JavaScript (JS) | | |-- ES6+ Features | | |-- DOM Manipulation | | |-- Fetch API and Promises | | |-- Event Handling | | |-- Version Control Systems | |-- Git Basics | |-- GitHub/GitLab | |-- Branching and Merging | |-- Front-End Development | |-- Advanced JavaScript | | |-- Modules and Classes | | |-- Error Handling | | |-- Asynchronous Programming (Async/Await) | | | |-- Frameworks and Libraries | | |-- React (Hooks, Context API) | | |-- Angular (Components, Services) | | |-- Vue.js (Directives, Vue Router) | | | |-- State Management | | |-- Redux | | |-- MobX | | |-- Back-End Development | |-- Server-Side Languages | | |-- Node.js (Express.js) | | |-- Python (Django, Flask) | | |-- PHP (Laravel) | | |-- Ruby (Ruby on Rails) | | | |-- Database Management | | |-- SQL Databases (MySQL, PostgreSQL) | | |-- NoSQL Databases (MongoDB, Firebase) | | | |-- Authentication and Authorization | | |-- JWT (JSON Web Tokens) | | |-- OAuth 2.0 | | |-- APIs and Microservices | |-- RESTful APIs | |-- GraphQL | |-- API Security (Rate Limiting, CORS) | |-- Full-Stack Development | |-- Integrating Front-End and Back-End | |-- MERN Stack (MongoDB, Express.js, React, Node.js) | |-- MEAN Stack (MongoDB, Express.js, Angular, Node.js) | |-- JAMstack (JavaScript, APIs, Markup) | |-- DevOps and Deployment | |-- Build Tools (Webpack, Vite) | |-- Containerization (Docker, Kubernetes) | |-- CI/CD Pipelines (Jenkins, GitHub Actions) | |-- Cloud Platforms (AWS, Azure, Google Cloud) | |-- Hosting (Netlify, Vercel, Heroku) | |-- Web Performance Optimization | |-- Minification and Compression | |-- Lazy Loading | |-- Code Splitting | |-- Caching (Service Workers) | |-- Web Security | |-- HTTPS and SSL | |-- Cross-Site Scripting (XSS) | |-- SQL Injection Prevention | |-- Content Security Policy (CSP) | |-- Specializations | |-- Progressive Web Apps (PWAs) | |-- Single-Page Applications (SPAs) | |-- Server-Side Rendering (Next.js, Nuxt.js) | |-- WebAssembly | |-- Trends and Advanced Topics | |-- Web 3.0 and Decentralized Apps (dApps) | |-- Motion UI and Animations | |-- AI Integration in Web Apps | |-- Real-Time Applications Web Development Resources 👇👇 Intro to HTML and CSS Intro to Backend Intro to JavaScript Web Development for Beginners Object-Oriented JavaScript Best Web Development Resources Join @free4unow_backup for more free resources. ENJOY LEARNING 👍👍

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