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Artificial Intelligence & ChatGPT Prompts

Artificial Intelligence & ChatGPT Prompts

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๐Ÿ”“Unlock Your Coding Potential with ChatGPT ๐Ÿš€ Your Ultimate Guide to Ace Coding Interviews! ๐Ÿ’ป Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_data

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๐Ÿ“ˆ Analytical overview of Telegram channel Artificial Intelligence & ChatGPT Prompts

Channel Artificial Intelligence & ChatGPT Prompts (@curiousprogrammer) in the English language segment is an active participant. Currently, the community unites 42 142 subscribers, ranking 3 217 in the Technologies & Applications category and 9 432 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 42 142 subscribers.

According to the latest data from 18 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 181 over the last 30 days and by 1 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 2.16%. Within the first 24 hours after publication, content typically collects 0.72% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 912 views. Within the first day, a publication typically gains 304 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 learning, algorithm, detection, llm, pattern.

๐Ÿ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
โ€œ๐Ÿ”“Unlock Your Coding Potential with ChatGPT ๐Ÿš€ Your Ultimate Guide to Ace Coding Interviews! ๐Ÿ’ป Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_dataโ€

Thanks to the high frequency of updates (latest data received on 19 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.

42 142
Subscribers
+124 hours
+307 days
+18130 days
Posts Archive
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Real-World.Svelte.pdf6.75 MB

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Complete Python Roadmap ๐Ÿ๐Ÿ‘‡ 1. Introduction to Python - Definition - Purpose - Python Installation - Interpreter vs Compiler 2. Basic Python Syntax - Print Statement - Variables and Data Types - Input and Output - Operators 3. Control Flow - Conditional Statements (if, elif, else) - Loops (for, while) - Break and Continue Statements 4. Data Structures - Lists - Tuples - Sets - Dictionaries 5. Functions - Function Definition - Parameters and Return Values - Lambda Functions 6. File Handling - Reading from and Writing to Files - Handling Exceptions 7. Modules and Packages - Importing Modules - Creating Packages 8. Object-Oriented Programming (OOP) - Classes and Objects - Inheritance - Polymorphism - Encapsulation - Abstraction 9. Error Handling - Try, Except Blocks - Custom Exceptions 10. Advanced Data Structures - List Comprehensions - Generators - Collections Module 11. Decorators and Generators - Function Decorators - Generator Functions 12. Working with APIs - Making HTTP Requests - JSON Handling 13. Database Interaction with Python - Connecting to Databases - CRUD Operations 14. Web Development with Flask/Django - Flask/Django Setup - Routing and Templates 15. Asynchronous Programming - Async/Await - Asyncio Library 16. Testing in Python - Unit Testing - Testing Frameworks (e.g., pytest) 17. Pythonic Code - PEP 8 Style Guide - Code Readability 18. Version Control (Git) - Basic Commands - Collaborative Development 19. Data Science Libraries - NumPy - Pandas - Matplotlib 20. Machine Learning Basics - Scikit-Learn - Model Training and Evaluation 21. Web Scraping - BeautifulSoup - Scrapy 22. RESTful API Development - Flask/Django Rest Framework 23. CI/CD Basics - Continuous Integration - Continuous Deployment 24. Deployment - Deploying Python Applications - Hosting Platforms (e.g., Heroku) 25. Security Best Practices - Input Validation - Handling Sensitive Data 26. Code Documentation - Docstrings - Generating Documentation 27. Community and Collaboration - Open Source Contributions - Forums and Conferences Resources to Learn Python: 1. Free Course - https://www.freecodecamp.org/learn/data-analysis-with-python/ 2. Projects - t.me/pythonfreebootcamp/177 - t.me/pythonspecialist/90 3. Books & Notes - https://t.me/dsabooks/99 - https://t.me/dsabooks/101 4. Python Interview Preparation - https://t.me/PythonInterviews - t.me/DataAnalystInterview/63 Join @free4unow_backup for more Python resources. Like this post if you want more content like this ๐Ÿ˜„โค๏ธ ENJOY LEARNING ๐Ÿ‘๐Ÿ‘

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Top 9 Http Methods- GET ๐Ÿง - Retrieve data from a resource. HEAD ๐ŸŽง - Retrieve the headers of a resource. POST ๐Ÿ“ฎ - Submit data to a resource. PUT ๐Ÿ“ฅ - Update an existing resource or create a new resource. DELETE ๐Ÿ—‘๏ธ - Remove a resource. CONNECT ๐Ÿ”— - Establish a network connection for a resource. OPTIONS โš™๏ธ - Describe communication options for the target resource. TRACE ๐Ÿ•ต๏ธโ€โ™‚๏ธ - Retrieve a diagnostic trace of the request. PATCH ๐Ÿฉน - Apply a partial update to a resource.

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