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Computer Science and Programming

Computer Science and Programming

前往频道在 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

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📈 Telegram 频道 Computer Science and Programming 的分析概览

频道 Computer Science and Programming (@computer_science_and_programming) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 142 827 名订阅者,在 技术与应用 类别中位列第 814,并在 意大利 地区排名第 86

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 142 827 名订阅者。

根据 11 六月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 -1 293,过去 24 小时变化为 -44,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 5.75%。内容发布后 24 小时内通常能获得 1.81% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 8 214 次浏览,首日通常累积 2 581 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 15
  • 主题关注点: 内容集中在 sellerflash, github, developer, pricing, waybienad 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
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...

凭借高频更新(最新数据采集于 12 六月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 技术与应用 类别中的关键影响点。

142 827
订阅者
-4424 小时
-1897
-1 29330
帖子存档
url.town url.town is a community-curated web directory organized by the omg.lol community, featuring categorized links across
url.town
url.town is a community-curated web directory organized by the omg.lol community, featuring categorized links across diverse topics including computers, arts, games, internet culture, and more. The directory includes sections for educational resources, open source projects, blogging tools, and various specialized interests, with recent additions like MIT OpenCourseWare highlighting its focus on quality resource curation.

ImperialCollegeLondon/FLT: Ongoing Lean formalisation of the proof of Fermat's Last Theorem Imperial College London is leadin
ImperialCollegeLondon/FLT: Ongoing Lean formalisation of the proof of Fermat's Last Theorem
Imperial College London is leading an open-source project to formalize the proof of Fermat's Last Theorem using the Lean theorem prover. The multi-author effort, funded by EPSRC until 2029 and led by Kevin Buzzard, follows a modern variant of the original Wiles/Taylor-Wiles proof approach planned by Richard Taylor.

My Engineering Craft Regressed The author shares their journey of investing significant time in open source projects post-uni
My Engineering Craft Regressed
The author shares their journey of investing significant time in open source projects post-university, only to find job recruiters did not value it. Despite a strong skill set, they struggled to secure lucrative roles, and eventually shifted focus to Leetcode, which resulted in a significant salary increase but caused a regression in their technical skills. Now, they receive high-paying job offers without the same fulfillment they had from their open source work

Wave UI Wave UI is a flexible and customizable framework that offers improved control over CSS, especially when using Sass. I
Wave UI
Wave UI is a flexible and customizable framework that offers improved control over CSS, especially when using Sass. It provides modern design features, is fully responsive, and ensures accessibility.

Tools I Use Every Day A comprehensive overview of daily development tools used by a professional developer, covering code edi
Tools I Use Every Day A comprehensive overview of daily development tools used by a professional developer, covering code editors (JetBrains Rider, VS Code), collaboration platforms (GitHub, Teams, Slack, Discord), productivity apps (Notion, ChatGPT, Feedly), AI tools (LM Studio, Azure Local AI Foundry), and utilities (Windows Terminal, Postman, NordPass). Includes cost breakdown showing monthly expenses ranging from $50-100+ depending on licensing tiers, with many tools offering free alternatives

Event Loop Visualized community Understand the JavaScript Event Loop with visual explanations, including how the Call Stack,
Event Loop Visualized community
Understand the JavaScript Event Loop with visual explanations, including how the Call Stack, Web API, microtasks, and macrotasks interact to handle asynchronous operations. The guide uses an Event Loop model to break down these concepts step by step, providing a clear understanding of execution order in JavaScript.

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⚠ Message was hidden by channel owner

Vite 7.0 is out! ​ Vite 7.0 introduces significant updates including Node.js 20.19+ requirement, new 'baseline-widely-availab
Vite 7.0 is out! ​
Vite 7.0 introduces significant updates including Node.js 20.19+ requirement, new 'baseline-widely-available' browser target replacing 'modules', and experimental Environment API improvements. The release features Rolldown bundler integration for better performance, ViteConf going in-person in Amsterdam, and VoidZero's continued development of unified JavaScript toolchain. Migration from Vite 6 should be smooth with deprecated features removed.

Build A Search UI A step-by-step guide to building a basic search UI using TypeSense and Laravel. Covers creating a simple Bl
Build A Search UI
A step-by-step guide to building a basic search UI using TypeSense and Laravel. Covers creating a simple Blade view with a search form, integrating TypeSense client to query a books collection, and displaying results in a styled list. The tutorial demonstrates setting up routes, handling query parameters, performing searches on the title field, and using Tailwind CSS for styling. This foundation prepares for more advanced features like instant search, result highlighting, and faceted filtering.

Which LLM writes the best analytical SQL? Tinybird's LLM SQL Generation Benchmark evaluates how 19 popular language models pe
Which LLM writes the best analytical SQL?
Tinybird's LLM SQL Generation Benchmark evaluates how 19 popular language models perform in generating SQL queries to filter and aggregate large datasets. Comparing models like OpenAI's GPT-4 Turbo and Anthropic's Claude, the benchmark measures accuracy, efficiency, and query latency, highlighting the challenges LLMs face in writing semantically correct SQL efficiently. The analysis shows humans leading in efficiency, while LLMs often struggle with contextual understanding and optimization opportunities.

React Design Patterns and Best Practices for 2025 Comprehensive guide covering modern React development patterns for 2025, in
React Design Patterns and Best Practices for 2025
Comprehensive guide covering modern React development patterns for 2025, including function components, custom hooks, Context API, TypeScript integration, and React 19 features like useOptimistic and Server Components. Explores ecosystem tools like Next.js, Remix, Vite, and Tailwind CSS, plus enterprise UI solutions like KendoReact for building scalable, maintainable applications. 

Boosting Development Workflows with git-spice Git-spice enhances development workflows by addressing challenges with large pu
Boosting Development Workflows with git-spice
Git-spice enhances development workflows by addressing challenges with large pull requests and the drawbacks of atomic PRs. It helps manage stacked pull requests effectively, boosting speed and maintaining code quality. Built by Abhinav Gupta to fit specific needs, it simplifies PR management, facilitating efficient collaboration and enabling better code reviews.

✅ Hi everyone, from now on Computer Science is on WhatsApp too. Subscribe if you prefer reading news there 👇🏻👇🏻 ‎https://whatsapp.com/channel/0029Vb6WuS94yltPj2RZuP11

Design patterns for agentic AI The era of agentic AI has begun, with intelligent agents increasingly handling tasks and makin
Design patterns for agentic AI
The era of agentic AI has begun, with intelligent agents increasingly handling tasks and making decisions autonomously, boosting productivity. This webinar explores how these AI systems, differing from traditional SaaS tools, are built using agentic design patterns. It covers why legacy architectures are inadequate and demonstrates how platforms like Akka enable building scalable, event-driven AI agents.

kepano/defuddle: Extract the main content from web pages. Defuddle is a tool designed to extract the main content from web pa
kepano/defuddle: Extract the main content from web pages.
Defuddle is a tool designed to extract the main content from web pages by removing unnecessary elements like comments, sidebars, and headers. It creates clean HTML documents suitable for HTML-to-Markdown conversion and was intended for use with the Obsidian Web Clipper. Defuddle can serve as a replacement for Mozilla Readability, provides consistent outputs for various elements, and extracts metadata using schema.org. Installation requires npm and for Node.js, JSDOM. The tool is available in core, full, and Node.js bundles and offers configurable options for parsing and content manipulation.

How WhatsApp Handles 40 Billion Messages Per Day WhatsApp manages to handle nearly 40 billion daily messages by utilizing a r
How WhatsApp Handles 40 Billion Messages Per Day
WhatsApp manages to handle nearly 40 billion daily messages by utilizing a robust backend architecture with simplicity, asynchronicity, and isolation at its core. Erlang is pivotal, offering lightweight concurrency, fault isolation, and efficient message routing. The architecture benefits from smart partitioning, resiliency under failures, seamless upgrades, and focused quality control, all managed by a small engineering team. Database design favors speed with in-memory key-value stores and async writes, while backend systems are structurally isolated to ensure reliability. 

How AI Vibe Coding Is Destroying Junior Developers' Careers Vibe coding, where developers use AI to build entire applications
How AI Vibe Coding Is Destroying Junior Developers' Careers
Vibe coding, where developers use AI to build entire applications without writing code themselves, is creating a generation of pseudo-developers who lack fundamental programming skills. Research shows AI tools actually decrease productivity by 19% for experienced developers, while security vulnerabilities plague AI-generated code. Junior developers using this approach become dependent on AI for debugging and maintenance, making them less competitive in an already brutal job market where 94,000 tech workers have been laid off. The practice creates massive technical debt and prevents skill development, ultimately harming career prospects rather than helping them.

Bye bye schema coupling, hello semantic coupling The post introduces the concept of semantic coupling as an innovative method
Bye bye schema coupling, hello semantic coupling
The post introduces the concept of semantic coupling as an innovative method to manage schema evolution in event-driven architectures, replacing traditional schema coupling. By using semantic tags instead of versioning or altering event schemas, it allows consumers to focus on the meaning of data rather than its representation. This approach prevents breaking changes and eliminates the need for event versioning, encouraging smoother schema transitions. Tools like Orbital and Taxi can facilitate these transformations by decoupling the data representation from consumers

System broke. I led. Now it scales to millions users… A technical lead shares their experience rebuilding a failing e-commerc
System broke. I led. Now it scales to millions users…
A technical lead shares their experience rebuilding a failing e-commerce system in 30 days, transforming it from a single-server monolith to a scalable microservices architecture. The rebuild involved migrating to Google Cloud Platform with Kubernetes, breaking down the Node.js monolith into Java and Go microservices, implementing Redis caching and Kafka for background jobs, rebuilding the frontend with Next.js, and adding comprehensive monitoring. The result was a system that could handle 50K concurrent users with 3x faster response times and reduced page load times from 3.7s to 1.2s.