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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 13 436 subscribers, ranking 14 785 in the Education category and 29 988 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 13 436 subscribers.

According to the latest data from 26 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 446 over the last 30 days and by 11 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 16.34%. 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 2 194 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 8.
  • 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 27 August, 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.

13 436
Subscribers
+1124 hours
+917 days
+44630 days
Posts Archive
Repost from Coding Courses
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10 - LLMs Implementation - Part 03

10 - LLMs Implementation - Part 02

10 - LLMs Implementation - Part 01

09 - LLMs Intuition

08 - A3C Implementation - Part 04

08 - A3C Implementation - Part 03

08 - A3C Implementation - Part 02

08 - A3C Implementation - Part 01

07 - A3C Intuition

06 - Deep Convolutional QLearning Implementation - Part 02

06 - Deep Convolutional QLearning Implementation - Part 01

05 - Deep Convolutional QLearning Intuition

04 - Deep QLearning Implementation - Part 03

04 - Deep QLearning Implementation - Part 02

04 - Deep QLearning Implementation - Part 01

03 - Deep QLearning Intuition

02 - QLearning Intuition

01 - Welcome to the course