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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 12 404 subscribers, ranking 16 358 in the Education category and 34 020 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 12 404 subscribers.

According to the latest data from 17 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 377 over the last 30 days and by 9 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 21.45%. 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 18 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.

12 404
Subscribers
+924 hours
+887 days
+37730 days
Posts Archive
19 - Deep Dive on DALL-E 3

18 - Deep Dive on Stable Diffusion XL

17 - Deep Dive on Anthropic Claude

16 - Deep Dive on Midjourney v6

15 - Deep Dive on GPT-4

+1
14 - Deep Dive on ChatGPT - Part 01

+2
13 - AI Image Model Projects - Part 01

+7
12 - Advanced Image Model Techniques - Part 01

+1
11 - Standard Image Model Practices - Part 01

+8
10 - AI Text Model Projects - Part 01

+4
09 - Prompt Optimization & Evals - Part 02

+1
08 - Proven Prompting Techniques - Part 01

+2
07 - Deep Dive On LangGraph - Coding - Part 01

+2
06 - Deep Dive on LangChain - Coding - Part 01

+5
05 - Advanced Text Model Techniques - Part 01

04 - Standard Text Model Practices

03 - How does AI work

02 - Five Principles of Prompting

01 - Introduction

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