Does this skill support modern Python frameworks?

Yes, it provides fundamental patterns that are fully compatible with modern asynchronous frameworks such as FastAPI, aiohttp, Sanic, and Tortoise ORM.

When should I use asyncio instead of multi-threading?

Asyncio is ideal for I/O-bound tasks like network requests, file operations, or database queries. Multi-threading or multi-processing is generally preferred for CPU-bound tasks like heavy mathematical computations.

How does this skill handle error management in concurrent tasks?

It includes specific patterns for using asyncio.gather with the return_exceptions parameter and implementing safe wrapper functions to ensure one failing task doesn't interrupt the entire execution flow.

What are the benefits of using async Python patterns?

Async patterns allow for high-performance, non-blocking I/O operations, enabling a single process to handle thousands of concurrent connections efficiently without the overhead of multiple threads.

Async Python Patterns

Name: Async Python Patterns
Author: wshobson

bywshobson

•

23,194

API 개발

Implements high-performance asynchronous Python patterns using asyncio and non-blocking I/O operations.

소개

This skill equips Claude with advanced knowledge of Python's asynchronous ecosystem, enabling the development of highly concurrent, non-blocking applications. It provides standardized patterns for managing the asyncio event loop, coroutines, and tasks, while offering sophisticated solutions for complex scenarios like the producer-consumer pattern, rate limiting with semaphores, and thread-safe synchronization. Whether building scalable web APIs with FastAPI or high-speed web scrapers, this skill ensures best practices for error handling, timeouts, and resource management in I/O-bound workloads.

주요 기능

23,194 GitHub stars
Advanced synchronization using Locks and Semaphores
Standardized asyncio implementation patterns
Async context managers and iterators for resource safety
Robust error and timeout handling for I/O-bound tasks
Concurrent execution management with gather and Tasks

사용 사례

Developing high-concurrency web scrapers and crawlers
Optimizing database and network-heavy microservices
Building scalable web APIs with FastAPI or aiohttp

소개

주요 기능

23,194 GitHub stars
Advanced synchronization using Locks and Semaphores
Standardized asyncio implementation patterns
Async context managers and iterators for resource safety
Robust error and timeout handling for I/O-bound tasks
Concurrent execution management with gather and Tasks

사용 사례

Developing high-concurrency web scrapers and crawlers
Optimizing database and network-heavy microservices
Building scalable web APIs with FastAPI or aiohttp