Async Python Patterns

About

This skill provides expert guidance on implementing Python's asynchronous programming model, enabling developers to build scalable, I/O-bound applications. It covers everything from basic async/await syntax to advanced architectural patterns like producer-consumer queues, rate limiting with semaphores, and safe resource management using async context managers. Whether you are building FastAPI backends, high-speed web scrapers, or real-time WebSocket servers, this skill helps ensure your code is efficient, thread-safe, and free from common concurrency pitfalls.

Key Features

• Advanced concurrency patterns using asyncio.gather and task management
• Async-specific architectural patterns like Producer-Consumer and Rate Limiting
• 0 GitHub stars
• Robust error handling and timeout strategies for asynchronous workflows
• Implementation of core asyncio concepts including event loops, coroutines, and tasks
• Synchronization primitives including locks, semaphores, and thread-safe counters

Use Cases

• Optimizing I/O-bound tasks like concurrent database queries and network requests
• Building scalable real-time applications using WebSockets and background task queues
• Developing high-performance web APIs with FastAPI, aiohttp, or Sanic