Computer Science and Programming

Open in Telegram

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

Network:Computer Science and Programming Italy87 Technologies & Applications815...

📈 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 142 775 subscribers, ranking 815 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 142 775 subscribers.

According to the latest data from 13 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -1 316 over the last 30 days and by -26 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 6.13%. Within the first 24 hours after publication, content typically collects 1.79% reactions from the total number of subscribers.
Post reach: On average, each post receives 8 753 views. Within the first day, a publication typically gains 2 559 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 17.
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 14 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.

142 775

Subscribers

-2624 hours

-1847 days

-1 31630 days

8 753

Post views

~ 2 55924 hours

~ 3 64348 hours

6.13%

Engagement rate

~ 1

Posts per day

Ads index

beta

Posts Archive

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SQL at 50: What’s next for the structured query language? 🔗 https://www.infoworld.com/article/3715453/sql-at-50-whats-next-for-the-structured-query-language.html

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New Regular expression (Regex) functions in Excel 🔗 https://insider.microsoft365.com/en-us/blog/new-regular-expression-regex-functions-in-excel

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Uber Migrates 1 Trillion Records from DynamoDB to LedgerStore to Save $6 Million Annually 🔗 https://www.infoq.com/news/2024/05/uber-dynamodb-ledgerstore/

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What's New in Kotlin 2.0.0 🔗 https://kotlinlang.org/docs/whatsnew20.html

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Amber - the programming language compiled to Bash https://amber-lang.com/ https://amber-lang.com/

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Harvard CS50 – Free Computer Science Course (2023 Edition) Here are the lectures included in this course: Lecture 0 - Scratch Lecture 1 - C Lecture 2 - Arrays Lecture 3 - Algorithms Lecture 4 - Memory Lecture 5 - Data Structures Lecture 6 - Python Lecture 7 - SQL Lecture 8 - HTML, CSS, JavaScript Lecture 9 - Flask Lecture 10 - Emoji Cybersecurity https://www.freecodecamp.org/news/harvard-university-cs50-computer-science-course-2023/

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🖥 Searchable table in Python using Flet This tutorial will show you how to create an interactive table using Flet. Moreover, with search and filtering functions, which is very cool 🔥 🔜 Step by step tutorial

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Direct-a-Video: driving Video Generation Direct-a-Video is a text-to-video generation framework that allows users to individually or jointly control the camera movement and/or object motion. Authors: City University of HK, Kuaishou Tech & Tianjin. 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬: ✅ Decoupling camera/object motion in gen-AI ✅ Allowing users to independently/jointly control ✅ Novel temporal cross-attention for cam motion ✅ Training-free spatial cross-attention for objects ✅ Driving object generation via bounding boxes Paper: https://arxiv.org/pdf/2402.03162.pdf Project: https://direct-a-video.github.io/

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A library for building fast, reliable and evolvable network services 💻 https://github.com/cloudflare/pingora/tree/main

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Repost from SECRET ROOM

x10

Prizes of the draw

10 Telegram Premium subscriptions for 3 months

Completion date

142 778

Use KeePassXC to sign your git commits 🔗 https://code.mendhak.com/keepassxc-sign-git-commit-with-ssh/