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Computer Science and Programming

Computer Science and Programming

رفتن به کانال در 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

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📈 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 142 801 مشترک است و جایگاه 815 را در دسته فناوری و برنامه‌ها و رتبه 86 را در منطقه ايطاليا دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 142 801 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 12 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر -1 293 و در ۲۴ ساعت گذشته برابر -25 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 5.74% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.81% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 8 196 بازدید دریافت می‌کند. در اولین روز معمولاً 2 581 بازدید جمع‌آوری می‌شود.
  • واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 16 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 13 ژوئن, 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.

142 801
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How to Build an Analytical Dashboard with Next.js TLDR The post provides a comprehensive guide to building an analytical dash
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🔗 https://www.freecodecamp.org/news/build-an-analytical-dashboard-with-nextjs

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Orca Slicer is an open source slicer for FDM printers 💻 https://github.com/SoftFever/OrcaSlicer
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🔗 https://dev.to/perisicnikola37/dont-use-typescript-types-like-this-use-map-pattern-instead-ki3

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🔗 https://levelup.gitconnected.com/api-design-101-from-basics-to-best-practices-a0261cdf8886

A toolkit for training language models to work with PDF documents in the wild 💻 https://github.com/allenai/olmocr
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Top 10 Clean Code Rules TLDR Guidance for writing clean code includes no code comments, deleting dead code, unit testing boun
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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

7 Design Patterns EVERY Developer Should Know

Documenso: The Open Source DocuSign Alternative
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

How To Become Obsessed With Programming

WebSocket vs Socket.IO: Real-Time Communication Guide TLDR Modern web applications rely on real-time data exchange for seamle
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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

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How I am Moving Away From Google's Ecosystem TLDR The post discusses the author's decision to move away from Google's ecosyst
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🔗 https://itsfoss.com/leaving-google-ecosystem

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💻 https://github.com/paperless-ngx/paperless-ngx

Are LLMs making StackOverflow irrelevant? TLDR The volume of questions on StackOverflow has significantly declined since the
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🔗 https://www.patterns.dev/

Tech, code, and endless laughs! 😂 Join for the best programming memes and dev humor. Because coding should be fun! @memes_pr
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