Does this skill help with FastAPI or aiohttp development?

Yes, it provides foundational and advanced patterns specifically designed for modern async web frameworks like FastAPI, aiohttp, and Sanic.

Does it cover error handling in concurrent tasks?

Yes, the skill provides specific patterns for handling exceptions within concurrent groups of tasks using asyncio.gather and try-except blocks.

Can it help manage rate limits for API calls?

Absolutely. It includes patterns for using Semaphores to control concurrency and implement effective rate limiting for external API requests.

When should I use the Async Python Patterns skill?

Use it when building I/O-bound applications like web APIs, scrapers, or microservices where non-blocking operations significantly improve throughput and performance.

Async Python Patterns

Name: Async Python Patterns
Author: as4584

byas4584

API 개발

Implements high-performance concurrent Python applications using asyncio, async/await, and non-blocking I/O patterns.

소개

This skill provides a comprehensive toolkit for mastering asynchronous programming in Python. It equips developers with patterns for managing the asyncio event loop, executing concurrent tasks with gather(), and handling complex scenarios like producer-consumer queues and rate limiting with semaphores. Whether you are building high-throughput APIs with FastAPI, developing efficient web scrapers, or managing database connections, this skill offers the guidance needed to optimize I/O-bound workloads and build scalable, non-blocking systems.

주요 기능

Mastery of the asyncio event loop and coroutine lifecycle
Advanced synchronization tools including Semaphores and Locks
Implementation of async context managers, iterators, and generators
Concurrent execution patterns using gather() and Task management
Robust error handling and timeout management for resilient async code
0 GitHub stars

사용 사례

Optimizing database-intensive applications with non-blocking operations
Building high-performance web APIs with FastAPI, aiohttp, or Sanic
Developing concurrent web scrapers and real-time network crawlers

소개

주요 기능

Mastery of the asyncio event loop and coroutine lifecycle
Advanced synchronization tools including Semaphores and Locks
Implementation of async context managers, iterators, and generators
Concurrent execution patterns using gather() and Task management
Robust error handling and timeout management for resilient async code
0 GitHub stars

사용 사례

Optimizing database-intensive applications with non-blocking operations
Building high-performance web APIs with FastAPI, aiohttp, or Sanic
Developing concurrent web scrapers and real-time network crawlers