Async Python Patterns

What it does

This skill provides a collection of asynchronous Python patterns and best practices. It enables AI agents to write more efficient and scalable code, particularly when dealing with I/O bound operations or concurrent tasks. The skill focuses on leveraging asyncio effectively to improve performance and responsiveness in backend applications.

When to use it

• Building APIs: When developing API endpoints that require handling multiple requests concurrently (e.g., fetching data from external services).
• Data Processing Pipelines: For creating pipelines that involve asynchronous tasks like downloading, transforming, and storing large datasets.
• Real-time Applications: When building applications needing to handle many simultaneous connections or events in real time (e.g., chat servers, game backends).
• Web Scraping: To scrape web pages concurrently, improving the speed of data extraction.

Key capabilities

• Asynchronous function definitions using async def
• Event loop management with asyncio
• Coroutines and task scheduling
• Handling asynchronous I/O operations (e.g., network requests)
• Concurrency primitives like locks and semaphores for synchronization

Example prompts

• "Write an async function to fetch data from this API endpoint."
• "Create a coroutine that processes messages from a queue concurrently."
• "Show me how to use asyncio.gather to run multiple tasks in parallel."

Tips & gotchas

This skill requires familiarity with Python and basic programming concepts. Ensure the agent has access to necessary libraries like asyncio and any external dependencies for specific I/O operations.