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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 12 339 subscribers, ranking 16 455 in the Education category and 34 482 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 12 339 subscribers.

According to the latest data from 12 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 365 over the last 30 days and by 15 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 20.77%. 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 0 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 0.
  • 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 13 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.

12 339
Subscribers
+1524 hours
+807 days
+36530 days
Posts Archive
Day 82 - Professional Portfolio Project - [Python Web Development]

Day 81 - Professional Portfolio Project - [Python Scripting]

Day 80 - Capstone Project - Predict House Prices

Day 79 - The Tragic Discovery of Handwashing_ t-Tests & Distributions

Day 78 - Analysing the Nobel Prize with Plotly, Matplotlib & Seaborn

Day 77 - Linear Regression and Data Visualisation with Seaborn

Day 76 - Computation with NumPy and N-Dimensional Arrays

Day 75 - Beautiful Plotly Charts & Analysing the Android App Store

Day 74 - Google Trends Data_ Resampling and Visualising Time Series

Day 73 - Aggregate & Merge Data with Pandas_ Analyse the LEGO Dataset

Day 72 - Data Visualisation with Matplotlib_ Programming Languages

Day 71 - Data Exploration with Pandas_ College Major v.s. Your Salary

Day 70 - Deploying Your Web Application with Heroku

Day 69 - Blog Capstone Project Part 4 - Adding Users

Day 68 - Authentication with Flask

Day 67 - Blog Capstone Project Part 3 - RESTful Routing

Day 66 - Building Your Own API with RESTful Routing

Day 65 - Web Design School - How to Create a Website that People will Love - Part 03

Day 65 - Web Design School - How to Create a Website that People will Love - Part 02

Day 65 - Web Design School - How to Create a Website that People will Love - Part 01