🏠 Accueil
Benchmarks
📊 Tous les Benchmarks 🦖 Dinosaure v1 🦖 Dinosaure v2 ✅ To-Do List Apps 🎨 Pages Libres 🎯 FSACB - Showcase 🌍 Traduction
Modèles
🏆 Top 10 Modèles 🆓 Modèles Gratuits 📋 Tous les Modèles ⚙️ Modes Kilo Code
Ressources
💬 Prompts IA 📖 Glossaire IA 🔗 Liens Utiles
advanced

Advanced Python Async Programming

#python #asyncio #concurrency #performance

Create a high-performance asynchronous Python application using asyncio, coroutines, and concurrent.futures

Design an asynchronous task queue system in Python that can handle at least 10,000 concurrent operations. Your implementation should: 1) Use asyncio for event-driven concurrency, 2) Implement proper error handling and task recovery, 3) Include rate limiting and backpressure mechanisms, 4) Provide monitoring capabilities for task status and performance metrics, 5) Support task priorities and dependencies, 6) Include a mechanism for graceful shutdown. Explain your design decisions and provide a complete working implementation with test cases demonstrating its capabilities.