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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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πŸ“ˆ Analytical overview of Telegram channel Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

Channel Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) in the English language segment is an active participant. Currently, the community unites 56 111 subscribers, ranking 2 297 in the Technologies & Applications category and 6 109 in the India region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 56 111 subscribers.

According to the latest data from 02 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -97 over the last 30 days and by -23 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 1.82%. Within the first 24 hours after publication, content typically collects 0.70% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 022 views. Within the first day, a publication typically gains 391 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
  • Thematic interests: Content is focused on key topics such as algorithm, structure, stack, javascript, programming.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œEverything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data”

Thanks to the high frequency of updates (latest data received on 03 September, 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.

56 111
Subscribers
-2324 hours
-117 days
-9730 days
Posts Archive
πŸ”΄ How to MASTER a programming language using ChatGPT: πŸ“Œ 1. Can you provide some tips and best practices for writing clean and efficient code in [lang]? 2. What are some commonly asked interview questions about [lang]? 3. What are the advanced topics to learn in [lang]? Explain them to me with code examples. 4. Give me some practice questions along with solutions for [concept] in [lang]. 5. What are some common mistakes that people make in [lang]? 6. Can you provide some tips and best practices for writing clean and efficient code in [lang]? 7. How can I optimize the performance of my code in [lang]? 8. What are some coding exercises or mini-projects I can do regularly to reinforce my understanding and application of [lang] concepts? 9. Are there any specific tools or frameworks that are commonly used in [lang]? How can I learn and utilize them effectively? 10. What are the debugging techniques and tools available in [lang] to help troubleshoot and fix code issues? 11. Are there any coding conventions or style guidelines that I should follow when writing code in [lang]? 12. How can I effectively collaborate with other developers in [lang] on a project? 13. What are some common data structures and algorithms that I should be familiar with in [lang]? How to Create Resume using ChatGPT πŸ‘‡πŸ‘‡ https://t.me/free4unow_backup/687

Famous programming languages and their frameworks 1. Python: Frameworks: Django Flask Pyramid Tornado 2. JavaScript: Frameworks (Front-End): React Angular Vue.js Ember.js Frameworks (Back-End): Node.js (Runtime) Express.js Nest.js Meteor 3. Java: Frameworks: Spring Framework Hibernate Apache Struts Play Framework 4. Ruby: Frameworks: Ruby on Rails (Rails) Sinatra Hanami 5. PHP: Frameworks: Laravel Symfony CodeIgniter Yii Zend Framework 6. C#: Frameworks: .NET Framework ASP.NET ASP.NET Core 7. Go (Golang): Frameworks: Gin Echo Revel 8. Rust: Frameworks: Rocket Actix Warp 9. Swift: Frameworks (iOS/macOS): SwiftUI UIKit Cocoa Touch 10. Kotlin: - Frameworks (Android): - Android Jetpack - Ktor 11. TypeScript: - Frameworks (Front-End): - Angular - Vue.js (with TypeScript) - React (with TypeScript) 12. Scala: - Frameworks: - Play Framework - Akka 13. Perl: - Frameworks: - Dancer - Catalyst 14. Lua: - Frameworks: - OpenResty (for web development) 15. Dart: - Frameworks: - Flutter (for mobile app development) 16. R: - Frameworks (for data science and statistics): - Shiny - ggplot2 17. Julia: - Frameworks (for scientific computing): - Pluto.jl - Genie.jl 18. MATLAB: - Frameworks (for scientific and engineering applications): - Simulink 19. COBOL: - Frameworks: - COBOL-IT 20. Erlang: - Frameworks: - Phoenix (for web applications) 21. Groovy: - Frameworks: - Grails (for web applications)

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Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch Автор: Maxime Labonne