Python Courses & Resources
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Master Python with step-by-step courses – from basics to advanced projects and practical applications. Admin: @HusseinSheikho
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الشبكة:📈 نظرة تحليلية على قناة تيليجرام Python Courses & Resources
تُعد قناة Python Courses & Resources (@python53) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 50 360 مشتركاً، محتلاً المرتبة 3 428 في فئة التعليم والمرتبة 7 180 في منطقة الهند.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 50 360 مشتركاً.
بحسب آخر البيانات بتاريخ 27 أغسطس, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 385، وفي آخر 24 ساعة بمقدار -7، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
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📝 الوصف وسياسة المحتوى
يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“Master Python with step-by-step courses – from basics to advanced projects and practical applications.
Admin: @HusseinSheikho”
بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 28 أغسطس, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.
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HTML, CSS, Java, & JavaScript: Full Stack Programming Course
Master Full Stack Development with HTML, CSS, Java, and JavaScript: Build Dynamic and Responsive Web Applications...
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🔅 Hands-On Introduction: Python
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🔰 Level: Intermediate
⏰ Duration: 1h 18m
📋 Topics: Python
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AI Agents for Beginners
This is Microsoft's official, structured course designed to teach AI agents from the ground up. 🎓 It provides a comprehensive curriculum covering fundamentals to deployment through exclusive video tutorials with hands-on code examples. The course is entirely free and accessible without registration. It is ideal for beginners and intermediate developers seeking to understand how AI agents reason, utilize tools, and automate real-world tasks. 🤖
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Repost from Machine Learning with Python
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Python Programming: Build and Deploy Your Own Applications.
Python Programming: Master the complete application lifecycle: Build, test, and deploy your Python projects....
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⭐️ Rating: 4.1/5.0 (191 reviews)
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🚀 Sber has released two open-source MoE models: GigaChat-3.1 Ultra and Lightning
Both code and weights are available under the MIT license on HuggingFace.
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• Mixture-of-Experts (MoE) architecture
Models:
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• 702B MoE model for high-performance environments
• Outperforms DeepSeek-V3-0324 and Qwen3-235B on math and reasoning benchmarks
• Supports FP8 training and MTP
⚡️ GigaChat-3.1 Lightning
• 10B model (1.8B active parameters)
• Outperforms Qwen3-4B and Gemma-3-4B on Sber benchmarks
• Efficient local inference
• Up to 256k context
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• Custom metric to detect and reduce generation loops
• DPO training moved to native FP8
• Improvements in post-training pipeline
• Identified and fixed a critical issue affecting evaluation quality
🌍 Trained on 14 languages (optimized for English and Russian)
Use cases:
• chatbots
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• copilots
• internal ML systems
Sber provides a solid open foundation for developers to build production-ready AI systems with lower infrastructure costs.
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