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
نمایش بیشتر📈 تحلیل کانال تلگرام Computer Science and Programming
کانال Computer Science and Programming (@computer_science_and_programming) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 140 524 مشترک است و جایگاه 804 را در دسته فناوری و برنامهها و رتبه 88 را در منطقه ايطاليا دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 140 524 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 29 اوت, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر -741 و در ۲۴ ساعت گذشته برابر -33 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 7.84% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.89% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 11 021 بازدید دریافت میکند. در اولین روز معمولاً 2 656 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 14 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند sellerflash, github, developer, pricing, waybienad تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“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...”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 30 اوت, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامهها تبدیل کردهاند.
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
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
