Computer Science and Programming
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
Mostrar más📈 Análisis del canal de Telegram Computer Science and Programming
El canal Computer Science and Programming (@computer_science_and_programming) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 140 509 suscriptores, ocupando la posición 802 en la categoría Tecnologías y Aplicaciones y el puesto 88 en la región Italia.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 140 509 suscriptores.
Según los últimos datos del 30 agosto, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -752, y en las últimas 24 horas de -56, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 7.74%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.89% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 10 875 visualizaciones. En el primer día suele acumular 2 656 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 14.
- Intereses temáticos: El contenido se centra en temas clave como sellerflash, github, developer, pricing, waybienad.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“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...”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 31 agosto, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.
TLDR Creating copies of objects and arrays in JavaScript can be challenging, as developers need to choose between shallow copies and deep copies. Shallow copies duplicate only top-level properties and share references for nested objects, whereas deep copies create entirely independent duplicates of all properties. Shallow copies are faster and suitable for flat structures, while deep copies are necessary for complex or nested objects. Understanding these differences is key to avoiding unintended side effects and performance issues in your code.🔗 https://dev.to/hkp22/javascript-shallow-copy-vs-deep-copy-examples-and-best-practices-3k0a
TLDR This guide provides a comprehensive roadmap for aspiring frontend developers in 2025, covering essential skills such as understanding web basics, setting up a coding workspace, HTML, CSS, JavaScript, version control with Git and GitHub, and learning popular frameworks like React. It also includes bonus skills like advanced JavaScript techniques, TypeScript, automated testing, and hosting options, all designed to help developers stand out.🔗 https://levelup.gitconnected.com/frontend-developer-roadmap-2025-the-complete-guide-b209a9c3a22b
Oumi is a fully open-source platform that streamlines the entire lifecycle of foundation models - from data preparation and training to evaluation and deployment. Whether you're developing on a laptop, launching large scale experiments on a cluster, or deploying models in production, Oumi provides the tools and workflows you need.💻 https://github.com/oumi-ai/oumi
Why the obsession with being a coding Swiss Army knife is sabotaging careers — and how to reclaim your superpower🔗 https://medium.com/mr-plan-publication/the-full-stack-lie-how-chasing-everything-made-developers-worse-at-their-jobs-8b41331a4861
TLDR Highlighting 11 essential websites and tools for developers, this post covers resources like Omatsuri for frontend development, HTMLRev for templates, Unicornicons for icons, UiVerse for UI elements, Undraw for illustrations, PatternPad for custom patterns, Shape Divider for stylish transitions, Photopea as a Photoshop alternative, QuickRef for cheat sheets, DevDocs for API documentation, and DevHints as a quick-reference assistant.🔗 https://dev.to/kafeel_ahmad/11-free-must-know-websites-for-every-developer-22g6
TLDR face-api.js is a JavaScript API built on the tensorflow.js core for face detection and recognition in browsers. It supports multiple models like SSD MobileNetV1, Tiny Face Detector, and MTCNN, each optimized for different needs. The library also provides lightweight and fast 68-point face landmark detection, face recognition using a ResNet-34 model, and face expression recognition. It can be used both in browsers and Node.js environments and includes comprehensive examples for setup and usage.🔗 https://justadudewhohacks.github.io/face-api.js/docs/index.html
Self-hosted AI Starter Kit is an open-source Docker Compose template designed to swiftly initialize a comprehensive local AI and low-code development environment.💻 https://github.com/n8n-io/self-hosted-ai-starter-kit
TLDR Rust 1.84.1 has been released, addressing several regressions from version 1.84.0, including fixes for duplicate-crate diagnostics, overlapping impls in incremental rebuilds, and slow compilation issues. Additionally, it provides several fixes for those building Rust from source. Existing users can update via rustup.🔗 https://blog.rust-lang.org/2025/01/30/Rust-1.84.1.html
TLDR Go 1.24 introduces a Swiss Table-based map implementation, enhancing performance for map operations. Swiss Tables, known for their compactness and efficiency, reduce cache misses and improve memory usage. Despite slightly slower deletion times, lookups, insertions, and handling densely populated maps are significantly faster. This upgrade requires no code changes, benefiting applications like database indexing, caching systems, and data analytics.🔗 https://www.bytesizego.com/blog/go-124-swiss-table-maps
TLDR TypeScript 5.8 Beta introduces several new features, including support for conditional and indexed access types, improved interoperability between ECMAScript modules and CommonJS with the `--module nodenext` flag, the `--erasableSyntaxOnly` option to ensure compatibility with Node.js' experimental TypeScript support, and optimizations for program loads and updates. Additionally, it incorporates new flags like `--module node18` and `--libReplacement` for better fine-tuning of module behaviors and library replacement lookups.🔗 https://devblogs.microsoft.com/typescript/announcing-typescript-5-8-beta
This project won the first prize at Telegram Lightweight Client Contest and now is an official Telegram client. According to the original contest rules, it has nearly zero dependencies and is fully based on its own Teact framework (which re-implements React paradigm). It also uses a custom version of GramJS as an MTProto implementation. The project incorporates lots of technologically advanced features, modern Web APIs and techniques: WebSockets, Web Workers and WebAssembly, multi-level caching and PWA, voice recording and media streaming, cryptography and raw binary data operations, optimistic and progressive interfaces, complicated CSS/Canvas/SVG animations, reactive data streams, and so much more.💻 https://github.com/Ajaxy/telegram-tt 💬 https://web.telegram.org/a
DeepSeek, a Chinese AI startup, has launched DeepSeek-R1, an AI model developed at a fraction of the cost of Western counterparts. The release shook global AI markets, causing stock declines in major tech firms. Unlike proprietary models, DeepSeek-R1 is open-source, allowing companies to use it freely, though concerns remain over data security and regulatory challenges. How to Use DeepSeek R1 for Free in Visual Studio Code with Cline or Roo Code?💻 GitHub Launches Free Version of AI-Powered Copilot
GitHub announces the launch of GitHub Copilot Free, offering a no-cost version of its AI-powered coding assistant to developers worldwide.🇬🇧 UK Criminal Justice System Adopts Advanced GPS Ankle Tags
To address prison overcrowding, the Scottish government plans to release hundreds of prisoners equipped with sophisticated GPS ankle tags, allowing for precise monitoring and tailored exclusion zones.🏉 NFL Tests AI Technology for Enhanced Officiating
The NFL is experimenting with Sony's AI system, Hawk-Eye, to improve the accuracy of first-down calls. Despite technological advancements, human referees will continue to play a crucial role in officiating.🔍 Google Partners with Stack Overflow
In a significant move, Google has entered into a deal with Stack Overflow, highlighting the increasing recognition of the value of community-driven knowledge bases in training AI models.🦿 Advancements in Bioelectric Technology Restore Movement
Northwell Health is developing bioelectric technology that enables paralyzed patients to regain movement by harnessing the body's electrical signals, marking a significant breakthrough in medical technology.💻 ASML's 'Beast' Machine at the Forefront of Chip Manufacturing
Dutch company ASML's advanced lithography machine, the EXE:5000 or "Beast," plays a crucial role in producing the world's most advanced chips, underscoring the company's pivotal position in the semiconductor industry.👾 China Develops High-Powered Microwave Space Weapon
Chinese scientists claim to have developed a powerful microwave weapon system capable of neutralizing enemy satellites in orbit, marking a significant advancement in space-based military technology.🌐 Bluetooth Auracast Set to Revolutionize Audio Sharing
The new Bluetooth Auracast technology allows multiple users to connect their wireless headphones to a single device, enhancing shared audio experiences in various settings.
TLDR DeepSeek R1 is a powerful, open-source AI model that excels in logic, mathematics, and code generation. It's free and can be integrated into Visual Studio Code using tools like LM Studio, Ollama, and Jan. Choose from models ranging from 1.5B to 70B parameters depending on your hardware. Running it locally is recommended for privacy and to avoid costs associated with API usage.🔗 https://dev.to/dwtoledo/how-to-use-deepseek-r1-for-free-in-visual-studio-code-with-cline-or-roo-code-3an9
