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Computer Science and Programming

Computer Science and Programming

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Channel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ads: @Source_Ads, https://telega.io/c/computer_science

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πŸ“ˆ Analytical overview of Telegram channel Computer Science and Programming

Channel Computer Science and Programming (@computer_science_and_programming) in the English language segment is an active participant. Currently, the community unites 142 525 subscribers, ranking 814 in the Technologies & Applications category and 87 in the Italy 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 142 525 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 -1 227 over the last 30 days and by -56 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 5.75%. Within the first 24 hours after publication, content typically collects 1.99% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 8 193 views. Within the first day, a publication typically gains 2 838 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 15.
  • Thematic interests: Content is focused on key topics such as sellerflash, github, developer, pricing, waybienad.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œChannel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ads: @Source_Ads, https://telega.io/c/computer_sc...”

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.

142 525
Subscribers
-5624 hours
-3197 days
-1 22730 days
Posts Archive
Python Machine Learning (en).pdf10.79 MB

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Convolutional Neural Network – In a Nut Shell

Python for Computer Vision - Revision 2nd Edition

YOLO Vs. SSD: Choice of a Precise Object Detection Method

Deep Learning based Object Detection using YOLOv3 with OpenCV ( Python / C++ )

25 Open Datasets for Deep Learning Every Data Scientist Must Work With

Deep Learning with Matlab (free course)

Use Artificial Intelligence to Detect Messy/Clean Rooms!

Deep Learning with TensorFlow Playground

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