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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Network:π 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 140 524 subscribers, ranking 804 in the Technologies & Applications category and 88 in the Italy region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 140 524 subscribers.
According to the latest data from 29 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -741 over the last 30 days and by -33 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 7.84%. Within the first 24 hours after publication, content typically collects 1.89% reactions from the total number of subscribers.
- Post reach: On average, each post receives 11 021 views. Within the first day, a publication typically gains 2 656 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.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βChannel 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...β
Thanks to the high frequency of updates (latest data received on 30 August, 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.
140 524
Subscribers
-3324 hours
-2907 days
-74130 days
Posts Archive
Nvidia adds native Python support to CUDA
π https://thenewstack.io/nvidia-finally-adds-native-python-support-to-cuda/
bytedance/MegaTTS3
TLDR MegaTTS3 by Bytedance is a lightweight and efficient text-to-speech (TTS) model with only 0.45B parameters. It supports high-quality voice cloning, bilingual (Chinese and English) speech synthesis, and accent intensity control. Users can download pre-trained models, use command-line tools for inference, and access a web UI. The project aims for academic use, with stringent security measures and is licensed under Apache-2.0.π» https://github.com/bytedance/MegaTTS3
Why Everyone* Should Learn About Cloud Computing and AI
TLDR The post highlights the growing importance of cloud computing and AI across various industries such as film, marketing, healthcare, education, and agriculture. It emphasizes that understanding these technologies is becoming essential for making informed decisions, collaborating with technical teams, and staying competitive. The post encourages everyone to start learning about cloud and AI tools, even if they are not coders, to thrive in the modern, technology-driven world.π https://dev.to/aws-builders/why-everyone-should-learn-about-cloud-computing-and-ai-37ch
GitHubTree - Visualize repo structures in tree view
GitHubTree is a tool that allows users to easily visualize and explore the folder/directory structure of any public GitHub repository. It also enables users to copy file paths with a single click.π https://www.producthunt.com/posts/githubtree
Does AI really make you more productive?
TLDR The post discusses the impact of AI on software development productivity, based on findings from the 2024 Accelerate State of DevOps Report. While AI tools are widely used for various coding tasks, there are concerns about their negative effects on software delivery metrics like throughput and stability. Large AI-generated code batches can slow down reviews and increase the risk of bugs, potentially making developers less productive despite the perceived speed gains from AI.π https://toddle.dev/blog/does-ai-really-make-you-more-productive
fleet
Open-source platform for IT and security teams with thousands of computers. Designed for APIs, GitOps, webhooks, YAML, and humans.π» https://github.com/fleetdm/fleet
mcpt - Managed registry for MCP servers
TLDR mcpt by Mintlify is a managed registry for Model Context Protocol (MCP) servers. These servers enable AI tools to interact with external data sources, ensuring reliable and up-to-date access. mcpt simplifies the exploration and utilization of the fragmented MCP ecosystem by providing a curated list of official servers.π https://www.producthunt.com/posts/mcpt
Geocities.live - Turn any website into 90s dot-com era
Geocities.live is a tool that lets users transform any modern webpage into a 90s GeoCities-style page using AI. It's a creative way to counter the monotony of modern templates like tailwind and shadcn.π https://www.producthunt.com/posts/geocities-live
Prepare now: Docker Hub rate limits will impact GitLab CI/CD
TLDR Starting April 1, 2025, Docker Hub will enforce pull rate limits, significantly impacting CI/CD pipelines that pull images without authentication. GitLab users are recommended to configure Docker Hub authentication to increase rate limits, use GitLab Container Registry, or leverage GitLab Dependency Proxy with proper authentication. Implementing these changes before the deadline can avoid pipeline failures. GitLab is updating its infrastructure and providing documentation to help users transition smoothly.π https://about.gitlab.com/blog/2025/03/24/prepare-now-docker-hub-rate-limits-will-impact-gitlab-ci-cd
How To Become A Hacker: A Step-By-Step Guide
TLDR A hacker details their mission to dismantle the Domain Name System (DNS) and return the web to a free state. The story involves compromising keyholders across the globe using skills in hacking, cryptography, and social engineering while clashing with corporate interests. The hacker ultimately triggers a fail-safe implemented by a keyholder that disrupts the existing DNS structure, challenging the centralized control of the internet's key security protocol.π https://medium.com/@sebastiancarlos/how-to-become-a-hacker-a-step-by-step-guide-94902dc425b0
Everyone knows all the apps on your phone
Until recently, any app on an Android device could access a list of all other installed apps without permission. Although Google's package visibility policy in Android 11 (2022) restricted this access, some apps still find ways around the policy. Notable examples include Indian apps like Swiggy and Zepto, which list hundreds of apps in their manifest files for user profiling. The policy loophole and its exploitation raise significant privacy concerns, highlighting the need for stricter enforcement.π https://peabee.substack.com/p/everyone-knows-what-apps-you-use
Tech, code, and endless laughs! π
Join for the best programming memes and dev humor. Because coding should be fun!
@memes_programming
The hidden costs of production issues: Insights from 280 companies
TLDR Software teams constantly juggle speed and quality, but production issues significantly drain resources. A study of 280 developers reveals that while 62% of teams use automated testing, 30% lack performance testing, leading to bottlenecks. Engineering teams spend 10-35% of their capacity on production issues, with diagnostics consuming 70% of that time. Despite high cloud costs, only 25.7% of teams optimize code-level inefficiencies. Shifting issue detection left can reduce cloud waste, cut troubleshooting time, and improve software reliability.π https://digma.ai/the-hidden-costs-of-production-issues-insights-from-280-companies
