Does this skill help with CPU-bound tasks?

While focused on async I/O, it provides guidance on when to offload CPU-intensive work to thread pools or multiprocessing to prevent blocking the main event loop.

Can I use these patterns with FastAPI or Sanic?

Absolutely. These patterns are designed to integrate seamlessly with modern async frameworks like FastAPI, aiohttp, and Sanic for building high-performance web services.

When should I use this skill instead of standard threading?

Use this skill for I/O-bound tasks like network requests or database calls where asyncio's cooperative multitasking is significantly more efficient than the overhead of system threads.

Is this compatible with modern Python standards?

Yes, all patterns follow modern Python 3.7+ standards, utilizing asyncio.run() and the latest syntax for context managers and iterators.

How does this skill handle API rate limiting?

It includes specific implementation patterns using asyncio.Semaphore to control the number of concurrent operations, ensuring you don't exceed external API limits.

Async Python Patterns

Name: Async Python Patterns
Author: duanbiao2000

byduanbiao2000

0•

API 개발

Implements high-performance Python concurrency patterns using asyncio and non-blocking I/O for scalable applications.

This skill provides a comprehensive toolkit for mastering Python's asynchronous programming model. It offers standardized patterns for asyncio, including coroutine management, concurrent execution with gather, error handling, and advanced synchronization primitives like semaphores and locks. Whether you are building high-throughput FastAPI backends, efficient web scrapers, or real-time WebSocket servers, this skill ensures your code follows best practices for non-blocking operations and optimal resource utilization, helping you avoid common pitfalls like blocking the event loop.

주요 기능

01Concurrent execution management using asyncio.gather and task creation

02Advanced synchronization tools including Semaphores for rate limiting and Async Locks

03Robust error handling and timeout strategies for resilient async applications

04Standardized async/await implementation patterns for clean, readable code

050 GitHub stars

06Asynchronous architectural patterns like Producer-Consumer and Async Iterators

사용 사례

01Optimizing I/O-bound microservices and database-heavy applications

02Building high-concurrency web APIs with FastAPI or aiohttp

03Developing efficient web scrapers that handle multiple requests simultaneously

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add duanbiao2000/obsidiandoc26 async-python-patterns

For use in Claude.ai and ChatGPT

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