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 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
TLDR The post discusses the author's decision to move away from Google's ecosystem due to privacy concerns, the desire to explore innovative alternatives, and support for open source solutions. It outlines various Google services and suggests alternatives like ProtonMail for email, DuckDuckGo for search, and Jitsi Meet for video conferencing. Replacing Google's document suite, photos, videos, and maps is noted as more challenging.🔗 https://itsfoss.com/leaving-google-ecosystem
Paperless-ngx is a document management system that transforms your physical documents into a searchable online archive so you can keep, well, less paper. Paperless-ngx is the official successor to the original Paperless & Paperless-ng projects and is designed to distribute the responsibility of advancing and supporting the project among a team of people.💻 https://github.com/paperless-ngx/paperless-ngx
TLDR The volume of questions on StackOverflow has significantly declined since the release of ChatGPT in November 2022. This trend, which began before the pandemic, highlights how LLMs (large language models) provide quicker and more effective solutions for developers. Criticism of StackOverflow's moderation policies has also contributed to the downturn. The decrease in questions may lead to outdated content and a vicious cycle of reduced search engine traffic. StackOverflow's situation underscores the disruptive impact of GenAI on stable businesses. The future of coding Q&A data for LLMs remains uncertain.🔗 https://blog.pragmaticengineer.com/are-llms-making-stackoverflow-irrelevant
TLDR Design patterns are descriptive, not prescriptive. They can guide you when facing a problem other developers have encountered many times before. They are not a blunt tool for jamming into every scenario. Patterns.dev aims to be a catalog of patterns (for increasing awareness) rather than a checklist (what you must do)🔗 https://www.patterns.dev/
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