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Computer Science and Programming

Computer Science and Programming

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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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📈 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 140 524 suscriptores, ocupando la posición 804 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 140 524 suscriptores.

Según los últimos datos del 29 agosto, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -741, y en las últimas 24 horas de -33, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 7.84%. 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 11 021 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 30 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.

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140 524
Suscriptores
-3324 horas
-2907 días
-74130 días
Archivo de publicaciones
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How I Finally Understood Docker and Kubernetes A developer shares their journey from confusion to understanding Docker and Ku
How I Finally Understood Docker and Kubernetes
A developer shares their journey from confusion to understanding Docker and Kubernetes by focusing on practical problems rather than technical jargon. Docker is explained as a way to package applications with their dependencies into portable containers, while Kubernetes is presented as a system for managing multiple containers in coordination. The author emphasizes learning through hands-on experience with simple projects, starting with single containers and gradually building up to multi-container systems with deployments and services.
medium.com

My iPhone 8 Refuses to Die: Now It’s a Solar-Powered Vision OCR Server A developer transformed an old iPhone 8 into a solar-p
My iPhone 8 Refuses to Die: Now It’s a Solar-Powered Vision OCR Server
A developer transformed an old iPhone 8 into a solar-powered OCR server using Apple's Vision framework, processing over 83,000 requests and 48GB of images in one year. The setup combines an EcoFlow River 2 Pro power station with solar panels to run completely off-grid, saving $84-120 CAD annually while maintaining 76% battery health. The project demonstrates local-first computing, privacy benefits, and practical renewable energy applications for small-scale server workloads.
https://terminalbytes.com/iphone-8-solar-powered-vision-ocr-server/

Counted all of the yurts in Mongolia using machine learning A developer trained a YOLO machine learning model to count yurts
Counted all of the yurts in Mongolia using machine learning
A developer trained a YOLO machine learning model to count yurts across Mongolia using satellite imagery from Google Maps. The project involved manually labeling over 10,000 yurts as training data, optimizing the search area using geographic data, and deploying the model across 120 Docker containers using Docker Swarm. The final count revealed 172,689 yurts throughout the country, with most concentrated in urban ger districts around Ulaanbaatar where rural migrants have settled
@computer_science_and_programming

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flurries of latent creativity This title could be clearer and more informative. Try out Clickbait Shield for free (5 uses lef
flurries of latent creativity This title could be clearer and more informative.
Try out Clickbait Shield for free (5 uses left this month). A developer shares their weekend project of building a complete compiler from scratch, creating a simplified BASIC variant called toybasic that transpiles to Go code. The implementation uses three stages: a lexer built with nex for tokenization, a parser using goyacc for syntax tree generation, and a custom Go compiler that walks the tree to generate equivalent Go code. The project demonstrates practical compiler construction using modern tools while working with a simple but complete programming language
@computer_science_and_programming

GPT-4.1 Prompting Guide The post provides a comprehensive guide on GPT-4.1 prompting using the OpenAI API. It includes open-s
GPT-4.1 Prompting Guide
The post provides a comprehensive guide on GPT-4.1 prompting using the OpenAI API. It includes open-source examples, advanced techniques, and detailed walkthroughs, empowering developers to efficiently utilize GPT-4.1 capabilities. The guide also encourages sharing your own examples and insights for further learning.
@computer_science_and_programming

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JavaScript Animation Engine Anime.js is a versatile JavaScript animation library offering several features, including rotatin
JavaScript Animation Engine
Anime.js is a versatile JavaScript animation library offering several features, including rotating objects, creating motion paths, and animating SVG paths. Users can create timelines, apply staggered animations, and make elements draggable with customizable easing options. The library also supports advanced configurations like spring physics and media query-based animations.
https://animejs.com/?ref=dailydev

LeetCode Meditations: A Visualized Tour of DSA Concepts (A Handbook) A comprehensive handbook covering fundamental data struc
LeetCode Meditations: A Visualized Tour of DSA Concepts (A Handbook)
A comprehensive handbook covering fundamental data structures and algorithms concepts through visual explanations and code examples. Topics include arrays, hash tables, two pointers technique, sliding window, stacks, binary search, linked lists, trees, heaps, and backtracking. Each concept is explained with practical implementations in JavaScript, TypeScript, and Python, along with time and space complexity analysis. The guide emphasizes understanding core principles rather than memorizing specific problem solutions.
@computer_science_and_programming

Spring Vault 4.0.0-M1 available Spring Vault 4.0.0-M1 milestone release is now available, bringing updates to the Spring inte
Spring Vault 4.0.0-M1 available
Spring Vault 4.0.0-M1 milestone release is now available, bringing updates to the Spring integration library for HashiCorp Vault. This milestone version provides developers with early access to new features and improvements for managing secrets and security configurations in Spring applications.
Spring.io

Darklang Goes Open Source Darklang has transitioned from a source-available to fully open source model under Apache License 2
Darklang Goes Open Source
Darklang has transitioned from a source-available to fully open source model under Apache License 2.0 as part of restructuring from Dark Inc. to Darklang Inc. The decision was driven by user feedback, evolution toward local-first development with CLI support, and new business opportunities in developer tools. The platform now supports both cloud deployment and self-hosting while maintaining its core features like invisible infrastructure and trace-driven development
https://api.daily.dev/r/z6afZQaCY

GitLab vs GitHub : Key Differences in 2025 GitLab and GitHub are leading Git-hosting platforms with distinctive features. Git
GitLab vs GitHub : Key Differences in 2025
GitLab and GitHub are leading Git-hosting platforms with distinctive features. GitLab offers a fully integrated DevOps platform including CI/CD, security scanning, and infrastructure management out of the box, making it ideal for enterprises. GitHub, best known for its code hosting and collaboration capabilities, relies on third-party tools for extensive DevOps functionalities but excels in ease of use, community support, and integrations. Both platforms support AI-powered coding assistants, but GitLab's additional security and compliance features provide an edge for large organizations.

Claude 4: You better stop coding now Claude 4, recently released by Anthropic, is a powerful AI model designed for advanced c
Claude 4: You better stop coding now
Claude 4, recently released by Anthropic, is a powerful AI model designed for advanced coding tasks, offering two versions: Sonnet 4 and Opus 4. The model excels in agentic mastery, multimodal tool integration, and efficient coding without hallucinations, setting itself apart from competitors like Gemini and GPT. With features catering to structured workflows and native tool integration, Claude 4 is poised to become a preferred choice for developers.

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Astro 5.8 TLDR Astro 5.8 has been released, requiring Node.js version 20.3.0 or higher, as Node.js 18 has reached end-of-life
Astro 5.8
TLDR Astro 5.8 has been released, requiring Node.js version 20.3.0 or higher, as Node.js 18 has reached end-of-life. While Astro will temporarily support Node.js 18.20.8, it's recommended to upgrade to Node.js 22 soon. Bug fixes are addressed and a CLI tool is available for easy upgrades.
🔗 https://astro.build/blog/astro-580

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Podman vs. Docker: Containerization Tools Comparison TLDR Podman and Docker are two leading container platforms offering dist
Podman vs. Docker: Containerization Tools Comparison
TLDR Podman and Docker are two leading container platforms offering distinct features. Podman, developed by Red Hat, operates daemonless and supports rootless containers, enhancing security and system integration. Docker, highly popular for its ease of use, operates on a daemon-based architecture and has a rich ecosystem with broad third-party support. Both tools use OCI-compliant images allowing interoperability. While Docker's Swarm mode facilitates orchestration, Podman's design aligns closely with Kubernetes. Each tool is suitable for different use cases, with Podman excelling in secure, system-integrated environments and Docker being ideal for general development workflows.
🔗 https://spacelift.io/blog/podman-vs-docker