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Computer Science and Programming

Computer Science and Programming

الذهاب إلى القناة على Telegram

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

إظهار المزيد

📈 نظرة تحليلية على قناة تيليجرام Computer Science and Programming

تُعد قناة Computer Science and Programming (@computer_science_and_programming) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 142 819 مشتركاً، محتلاً المرتبة 815 في فئة التكنولوجيات والتطبيقات والمرتبة 86 في منطقة إيطاليا.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 142 819 مشتركاً.

بحسب آخر البيانات بتاريخ 12 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -1 293، وفي آخر 24 ساعة بمقدار -25، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 5.74‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.81‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 8 196 مشاهدة. وخلال اليوم الأول يجمع عادةً 2 581 مشاهدة.
  • التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 16.
  • الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل sellerflash, github, developer, pricing, waybienad.

📝 الوصف وسياسة المحتوى

يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
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...

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 13 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.

142 819
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-2107 أيام
-1 29330 أيام
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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
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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