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.
Key Features: 🗣 Automatic Voice Detection and Turn Taking built-in, only worry about the logic for responding to the user. 💻 Automatic UI - Use the .ui.launch() method to launch the webRTC-enabled built-in Gradio UI. 🔌 Automatic WebRTC Support - Use the .mount(app) method to mount the stream on a FastAPI app and get a webRTC endpoint for your own frontend! ⚡️ Websocket Support - Use the .mount(app) method to mount the stream on a FastAPI app and get a websocket endpoint for your own frontend! 📞 Automatic Telephone Support - Use the fastphone() method of the stream to launch the application and get a free temporary phone number! 🤖 Completely customizable backend - A Stream can easily be mounted on a FastAPI app so you can easily extend it to fit your production application. See the Talk To Claude demo for an example on how to serve a custom JS frontend.💻 https://github.com/freddyaboulton/fastrtc
TLDR Learn how to build a local Retrieval-Augmented Generation (RAG) system using DeepSeek-R1, LangChain, and Ollama. This guide details the installation, setup, and deployment of a RAG pipeline that processes PDFs locally, ensuring data privacy, cost efficiency, and customizability. The solution utilizes ChromaDB for document retrieval and Streamlit for a user-friendly interface.🔗 https://blog.gopenai.com/how-to-build-a-privacy-first-rag-using-deepseek-r1-langchain-and-ollama-c5133a8514dd
TLDR Discover five VS Code extensions that can replace standalone development tools, reducing resource usage and context switching. The highlighted extensions include Thunder Client for API development, BlackBox AI as an AI coding assistant, Time Master for time tracking, Dendron for knowledge management, and GitDoc for automatic code saving. These tools streamline your workflow by integrating essential functionalities directly into VS Code, though it's essential to consider feature requirements, team compatibility, and potential performance impacts.🔗 https://appwrite.io/blog/post/5-vs-code-extensions-that-replace-entire-dev-tools
TLDR The post provides a comprehensive guide to building an analytical dashboard using Next.js, Flexmonster, and Highcharts. It includes step-by-step instructions on configuring these tools, creating charts, and setting up a functional user interface. Additionally, it explores real-world survey data on passenger flying etiquette to demonstrate the dashboard's capabilities.🔗 https://www.freecodecamp.org/news/build-an-analytical-dashboard-with-nextjs
TLDR While working on a real-life project, the author encountered a TypeScript implementation that lacked flexibility. They improved the design using the Map pattern, which reduced redundancy and potential errors by allowing dynamic additions. Further, stricter controls were applied to ensure only predefined reactions can be added. This approach balances flexibility and control, enhancing code maintainability.🔗 https://dev.to/perisicnikola37/dont-use-typescript-types-like-this-use-map-pattern-instead-ki3
TLDR This post provides an in-depth explanation of API design, focusing on the basics and best practices. It covers topics such as CRUD operations, communication protocols, REST, GraphQL, and more.🔗 https://levelup.gitconnected.com/api-design-101-from-basics-to-best-practices-a0261cdf8886
TLDR Guidance for writing clean code includes no code comments, deleting dead code, unit testing boundaries, using positive conditionals, adhering to standard guidelines, consistent naming, avoiding complexity, using exceptions instead of return codes, keeping methods small, and applying the Boy Scout rule to always leave the code cleaner than you found it.🔗 https://blog.stackademic.com/top-10-clean-code-rules-831fb34caff7
Signing documents digitally should be fast and easy and should be the best practice for every document signed worldwide. This is technically quite easy today, but it also introduces a new party to every signature: The signing tool providers. While this is not a problem in itself, it should make us think about how we want these providers of trust to work. Documenso aims to be the world's most trusted document-signing tool. This trust is built by empowering you to self-host Documenso and review how it works under the hood.💻 https://github.com/documenso/documenso
TLDR Modern web applications rely on real-time data exchange for seamless user experiences. WebSocket and Socket.IO provide persistent, bidirectional communication channels, essential for functionalities such as chat systems, push notifications, and multiplayer games. While WebSocket offers minimal latency and efficient data transfer, Socket.IO enhances WebSocket with auto-reconnection and fallback mechanisms, making it ideal for applications requiring high reliability and real-time updates.🔗 https://jsdev.space/websocket-socketio
