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Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.
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Ler descrição completa Recolher descrição Async Python Patterns
Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.
Use this skill when
Building async web APIs (FastAPI, aiohttp, Sanic) Implementing concurrent I/O operations (database, file, network) Creating web scrapers with concurrent requests Developing real-time applications (WebSocket servers, chat systems) Processing multiple independent tasks simultaneously Building microservices with async communication Optimizing I/O-bound workloads Implementing async background tasks and queues Do not use this skill when
The workload is CPU-bound with minimal I/O. A simple synchronous script is sufficient. The runtime environment cannot support asyncio/event loop usage. Instructions
Clarify workload characteristics (I/O vs CPU), targets, and runtime constraints. Pick concurrency patterns (tasks, gather, queues, pools) with cancellation rules. Add timeouts, backpressure, and structured error handling. Include testing and debugging guidance for async code paths. If detailed examples are required, open resources/implementation-playbook.md. Refer to resources/implementation-playbook.md for detailed patterns and examples.
Resources
resources/implementation-playbook.md for detailed patterns and examples.
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