Does it cover FastAPI development?

Absolutely. It provides the foundational async/await patterns used in modern web frameworks like FastAPI, Sanic, and aiohttp for backend services.

Is error handling included for concurrent tasks?

Yes, the skill provides specific patterns for managing exceptions within asyncio.gather and implementing timeouts to prevent resource leaks.

What is the main benefit of using this skill?

It helps you implement non-blocking code in Python, allowing your applications to handle thousands of concurrent connections efficiently by utilizing the event loop.

How does this skill handle resource management?

It implements Async Context Managers and Async Iterators to ensure resources like database connections and file handles are properly opened and closed in an async context.

Can I use this for web scraping?

Yes, it includes specific patterns for concurrent requests and rate limiting (using Semaphores), making it ideal for building high-performance web scrapers.

Async Python Patterns

Name: Async Python Patterns
Author: Microck

byMicrock

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API 개발

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

소개

This skill provides comprehensive guidance for mastering Python's asynchronous ecosystem, enabling developers to build scalable, high-performance systems. It covers essential asyncio concepts like the event loop, coroutines, and tasks, alongside advanced implementation patterns such as producer-consumer queues, semaphores for rate limiting, and async context managers. Whether you are building real-time APIs with FastAPI, high-concurrency web scrapers, or efficient microservices, this skill ensures best practices for non-blocking operations and robust error handling in async environments.

주요 기능

Advanced concurrency patterns like Producer-Consumer and Task Management
Non-blocking I/O optimization for database and network operations
Core asyncio implementations including Event Loops and Coroutines
Resource synchronization using Async Locks and Semaphores
Robust error handling and timeout management for async tasks
81 GitHub stars

사용 사례

Creating efficient web scrapers that process multiple requests simultaneously
Building high-concurrency web APIs with FastAPI or aiohttp
Developing real-time communication systems like WebSocket servers

소개

주요 기능

Advanced concurrency patterns like Producer-Consumer and Task Management
Non-blocking I/O optimization for database and network operations
Core asyncio implementations including Event Loops and Coroutines
Resource synchronization using Async Locks and Semaphores
Robust error handling and timeout management for async tasks
81 GitHub stars

사용 사례

Creating efficient web scrapers that process multiple requests simultaneously
Building high-concurrency web APIs with FastAPI or aiohttp
Developing real-time communication systems like WebSocket servers