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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 140 412 subscribers, ranking 804 in the Technologies & Applications category and 88 in the Italy region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 140 412 subscribers.

According to the latest data from 04 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -757 over the last 30 days and by 27 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 7.38%. Within the first 24 hours after publication, content typically collects 2.12% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 10 367 views. Within the first day, a publication typically gains 2 977 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.

📝 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 05 September, 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.

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140 412
Subscribers
+2724 hours
-1767 days
-75730 days
Posts Archive
Python for Secret Agents (en).pdf1.41 MB

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Computer Vision, the OpenCV library has 8 (yes, eight!) different algorithms used for robust Object Tracking. After applying Object Detection (typically via YOLO, Faster R-CNN, SSD, etc.), you can then utilize an Object Tracker to uniquely label and track an object in a video stream.

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China's AI focus will leave US in the dust, says top university professor

Genetic Algorithm Implementation in Python

AI for everyone! Neural networks, tools and a library

Python Recipes Handbook.pdf4.61 MB

Python recipes handbook. A problem-solution approach by Joey Bernard 2018(en)

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