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Coding Learning

Coding Learning

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πŸ“ˆ Analytical overview of Telegram channel Coding Learning

Channel Coding Learning (@codingdrive) in the English language segment is an active participant. Currently, the community unites 12 317 subscribers, ranking 16 495 in the Education category and 34 600 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 12 317 subscribers.

According to the latest data from 10 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 368 over the last 30 days and by 26 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 19.54%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 405 views. Within the first day, a publication typically gains 0 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 13.
  • Thematic interests: Content is focused on key topics such as implementation, llm, dive, autogen, structure.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œBackup”

Thanks to the high frequency of updates (latest data received on 11 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 Education category.

12 317
Subscribers
+2624 hours
+927 days
+36830 days
Posts Archive
+7
Python framework Django πŸ‘©β€πŸ’» #python #django

πŸ‘©β€πŸ’» Python framework Django πŸŽ“ What will you learn? You will learn how to layout web pages, write and optimize web applicat
πŸ‘©β€πŸ’» Python framework Django πŸŽ“ What will you learn? You will learn how to layout web pages, write and optimize web applications on Django, continue to develop in the IT industry and become a more sought-after developer. πŸ—£οΈ Fully re-recorded lessons in FullHD Language: English with subtitles

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08 - [Optional] Flask Crash Course

07 - Appendix - Python Crash Course

06 - Deploying in another open-course cloud

05 - Deploy Web App in Heroku Cloud

04 - Face Recognition Project (Integrating HTML Model to Flask App)

03 - Develop Face Recognition Model with Machine Learning from Scratch - Part 04

03 - Develop Face Recognition Model with Machine Learning from Scratch - Part 03

03 - Develop Face Recognition Model with Machine Learning from Scratch - Part 02

03 - Develop Face Recognition Model with Machine Learning from Scratch - Part 01

02 - Image Processing with OpenCV

01 - Introduction - Part 02

01 - Introduction - Part 01

🧠 Face Recognition with Machine Learning + Deploy Flask App 🌟 4.4 - 459 votes πŸ’° Original Price: $69.99 πŸ“– Create an Face R
🧠 Face Recognition with Machine Learning + Deploy Flask App 🌟 4.4 - 459 votes πŸ’° Original Price: $69.99
πŸ“– Create an Face Recognition project from scratch with Python, OpenCV , Machine Learning Algorithms, Flask, Heroku Deploy
πŸ”Š Taught By: datascience Anywhere, G Sudheer πŸ“€ Download Full Course πŸ“€ Download All Courses