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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 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.

142 819
Suscriptores
-2524 horas
-2107 días
-1 29330 días
Archivo de publicaciones
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How does Netflix manage to show you a movie without interruptions? Netflix delivers buffer-free streaming through a sophistic
How does Netflix manage to show you a movie without interruptions?
Netflix delivers buffer-free streaming through a sophisticated distributed systems architecture. The platform uses Amazon Web Services for managing control-plane operations and its custom Content Delivery Network, Open Connect, to handle data-plane operations. Key components include hundreds of microservices, a two-tier CDN deployment, adaptive bitrate streaming, and advanced resilience engineering practices. This setup allows for smooth content delivery and high availability, even under heavy load.

Dotless Domains Dotless domains are top-level domains that are accessible directly, without subdomains. These typically invol
Dotless Domains
Dotless domains are top-level domains that are accessible directly, without subdomains. These typically involve DNS records such as A/AAAA and MX, allowing direct access. Despite their technical feasibility, both ICANN and IAB oppose dotless domains, with restrictions applied primarily to gTLDs, while ccTLDs vary by country regulation. These domains face challenges in practical use, particularly concerning email protocols, which typically require more comprehensive domain structures.
lab.avl.la

How to Become a Top 1% Programmer: The Path You Have to Take Becoming a top 1% programmer requires more than just following t
How to Become a Top 1% Programmer: The Path You Have to Take
Becoming a top 1% programmer requires more than just following the crowd. Key practices include enjoying the coding process, cultivating the right mindset for growth, mastering debugging skills, seeking continuous learning opportunities, prioritizing quality over quantity, investing time in building skills, reading and understanding others' code, collaborating with experienced programmers, and learning from the best through networking events. Consistent effort and small daily improvements can lead to progress over time.
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Get the hell out of the LLM as soon as possible Large Language Models (LLMs) should not be used for decision-making or implem
Get the hell out of the LLM as soon as possible
Large Language Models (LLMs) should not be used for decision-making or implementing business logic due to their poor performance in these areas. Instead, LLMs should be employed as an interface for translating user inputs into API calls, with the actual logic handled by specialized systems. This approach enhances performance, debugging, and reliability. LLMs are best utilized for tasks involving transformation, interpretation, and communication, rather than maintaining critical application state.
Sgnt.ai

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Sync Engines are the Future Sync engines are poised to revolutionize the way we handle data in web development by collapsing
Sync Engines are the Future
Sync engines are poised to revolutionize the way we handle data in web development by collapsing the database and server into a single entity. This approach simplifies the tech stack, ensuring data is consistently synchronized and reducing dependency on traditional database servers. This essay discusses the complexities of data synchronization, the limitations of existing tools like SQL, and the potential of sync engines to streamline backend and frontend operations.
instantdb.com

9 MCP Projects for AI Engineers This title could be clearer and more informative. Try out Clickbait Shield for free (5 uses l
9 MCP Projects for AI Engineers This title could be clearer and more informative.
Try out Clickbait Shield for free (5 uses left this month). A comprehensive collection of 9 Model Control Protocol (MCP) projects designed for AI engineers, covering various applications from local MCP clients and agentic RAG systems to voice agents and synthetic data generators. The projects demonstrate how to integrate MCP with popular tools like Claude Desktop and Cursor IDE, enabling developers to build more sophisticated AI applications with enhanced tool connectivity and context sharing capabilities.
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Enjoy our content? Advertise on this channel and reach a highly engaged audience! 👉🏻 It's easy with Telega.io. As the leadi
Enjoy our content? Advertise on this channel and reach a highly engaged audience! 👉🏻 It's easy with Telega.io. As the leading platform for native ads and integrations on Telegram, it provides user-friendly and efficient tools for quick and automated ad launches. ⚡️ Place your ad here in three simple steps: 1 Sign up 2 Top up the balance in a convenient way 3 Create your advertising post If your ad aligns with our content, we’ll gladly publish it. Start your promotion journey now!

Overengineered #001: Hello World The post explores building an overengineered 'Hello World' system using Elixir. It demonstra
Overengineered #001: Hello World
The post explores building an overengineered 'Hello World' system using Elixir. It demonstrates creating a distributed system where multiple nodes automatically discover each other and send 'hello world' messages to newly joined nodes. The setup involves using GenServers, UDP broadcast for node discovery, and handling node greetings with the Greeter module. The project is aimed at learning and fun, showcasing an extensive approach to a simple problem.
@computer_science_and_programming

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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