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 142 819 suscriptores, ocupando la posición 815 en la categoría Tecnologías y Aplicaciones y el puesto 86 en la región Italia.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 142 819 suscriptores.
Según los últimos datos del 12 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -1 293, y en las últimas 24 horas de -25, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 5.74%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.81% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 8 196 visualizaciones. En el primer día suele acumular 2 581 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 16.
- 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 13 junio, 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 Microsoft has rewritten the TypeScript compiler in Go, leading to significant performance improvements like 10x faster builds and 50% less memory usage. JetBrains' State of Developer Ecosystem 2024 highlights TypeScript, Rust, and Python as the fastest-growing languages. AI tools are improving productivity but may degrade code quality and critical thinking skills. The World Economic Forum forecasts that skills in AI, big data, and creative thinking will be critical by 2030.🔗 https://newsletter.techworld-with-milan.com/p/trends-6-typescript-is-getting-10x
TLDR When building Node.js applications with relational databases, developers can choose between raw SQL, query builders, and ORMs. Each approach has its strengths and weaknesses. Raw SQL offers fine-grained control and performance but is complex to manage. Query builders provide a balanced and secure way to create queries, while ORMs offer high-level abstraction for quick development and schema management. Ultimately, the best choice depends on the specific needs of the project and the developer's expertise. A hybrid approach combining these methods can also be effective.🔗 https://blog.appsignal.com/2025/03/26/how-to-choose-between-sql-query-builders-and-orms-in-nodejs.html
TLDR Supabase has released an official UI Library consisting of ready-to-use components built on shadcn/ui, compatible with various React frameworks. The library includes components for password-based authentication, file uploads, real-time cursor sharing, user avatars, and chat functionalities. These components are fully customizable with Tailwind CSS and designed to simplify the integration of complex features in your projects. Additionally, Supabase provides AI code editor rules to enhance development with Supabase and Postgres.🔗 https://supabase.com/blog/supabase-ui-library
TLDR Explore 13 key software engineering 'laws' like Parkinson’s Law, Hofstadter’s Law, Conway’s Law, and Murphy’s Law. These guidelines help engineering managers and developers understand and navigate common challenges in project estimation, team dynamics, product management, and feature creep.🔗 https://newsletter.manager.dev/p/the-13-software-engineering-laws
TLDR To improve the aesthetic and usability of API keys, a startup created 'uuidkey', a package that encodes UUIDs into a readable format using Crockford Base32. This solution aims to provide secure, globally unique, sortable, and human-friendly API keys by leveraging the benefits of UUIDv7 and adding options such as removing dashes and adding prefixes for better management and security. The package is open source and available for programmers to implement in their own systems.🔗 https://docs.agentstation.ai/blog/beautiful-api-keys
TLDR GitHub Actions allows developers to automate, build, test, and deploy their applications directly from GitHub. This guide provides step-by-step instructions for creating GitHub Actions using either the GitHub UI or locally via an IDE. It covers key concepts like workflows, events, jobs, and runners, and includes examples for setting up Node.js, Deno environments, zipping files, and deploying static websites to GitHub Pages.🔗 https://www.freecodecamp.org/news/learn-to-use-github-actions-step-by-step-guide
TLDR A senior React developer shares 17 essential tips gathered over 5+ years of experience at Palantir. These tips highlight the importance of mastering JavaScript before diving into React, leveraging official React documentation, focusing on building projects, using trusted libraries, problem-solving with Vanilla JS, and optimizing bundle size through lazy loading. The advice also includes keeping components simple, avoiding premature abstractions, adopting TypeScript early, and making time for regular code refactoring.🔗 https://www.frontendjoy.com/p/17-tips-from-a-senior-react-developer
TLDR Learn how combining Docker and Jenkins can enhance CI/CD pipelines, ensuring consistent environments and faster deployments. The guide covers setup essentials, pipeline configuration, using plugins, optimizing pipelines, and troubleshooting. Key benefits include uniformity from development to production, scalability, and reduced errors.🔗 https://www.docker.com/blog/docker-and-jenkins-build-robust-ci-cd-pipelines
TLDR The ?? (nullish coalescing) and || (logical OR) operators in JavaScript provide default values when the left-hand side expression is not provided. The ?? operator only checks for null and undefined, allowing other falsy values like 0, false, or an empty string to remain. The || operator checks for all falsy values. The ?? operator is particularly useful for APIs, optional parameters, or dynamic data that may not always be defined.🔗 https://dorendev.hashnode.dev/when-to-use-the-and-in-javascript
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
¡Ya disponible! Investigación de Telegram 2025 — los principales insights del año 
