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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 142 492 subscribers, ranking 815 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 142 492 subscribers.

According to the latest data from 19 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -1 189 over the last 30 days and by -41 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 5.38%. Within the first 24 hours after publication, content typically collects 1.86% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 7 661 views. Within the first day, a publication typically gains 2 648 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 14.
  • 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 20 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.

142 492
Subscribers
-4124 hours
-3357 days
-1 18930 days
Posts Archive
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End-to-end deep learning. Technical strategy for AI Engineers, In the Era of Deep Learning

Deploying PyTorch and Keras Models to Android with TensorFlow Mobile

OpenAI cofounder Greg Brockman on the transformative potential of artificial general intelligence

Β open source artificial intelligence programming challenge