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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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📈 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.

📊 Audience metrics and dynamics

Since its creation on невідомо, 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.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
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_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
Youtube video

simple image processing to detect cars in videos using open cv

Google introduces “Learn with Google AI” website to educate people about machine learning and AI for free

Google launches new search engine to help scientists find the datasets they need

computervisionnews-september2018with4videos.pdf2.96 MB

Computer Vision news - September 2018 (RSIP Vision)

Israel's Artificial Intelligence Landscape 2018

High Performance Python Data driven programming framework for Web Crawler,ETL,Data pipeline work - http://databot.readthedocs.io

OPENAI’S DOTA 2 DEFEAT IS STILL A WIN FOR ARTIFICIAL INTELLIGENCE

We have a more than 1k subscribers. We started this channel for providing contemporary information in computer science. For serving you all the greatest AI, Deep and Machine Learning, Computer Vision, Data Science, FinTech related links, books and challenges based on Python programming language without advertising. We believe that is what our members would appreciate, so we will try continue this way! If you find this channel information’s are useful, please share through your social media environment and your any suggestions are would appreciated. Thanks for all subscribers

An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch. https://github.com/L0SG/relational-rnn-pytorch

AI for everyone! Neural networks, tools and a library