Every way Python lets you do more than one thing at once. asyncio for I/O-bound network and database work, threading for I/O parallelism without the async ceremony, multiprocessing and joblib for CPU-bound parallelism, and Celery and Kafka for distributed background work. These tutorials cover the patterns, the pitfalls, and when to reach for each.
Async I/O — asyncio & AnyIO
- How To Use Python anyio for Async Compatibility
- How To Use Python aiofiles for Async File Operations
- How To Use Python aiosqlite for Async SQLite
- How To Use Python motor for Async MongoDB Operations
- How To Use Python aiosmtplib for Async Email Sending
- How To Use Python Litestar for Async Web APIs
Threading
Multiprocessing & parallel computing
- How To Use Python multiprocessing.Pool for Parallel Processing
- How To Use Python Joblib for Parallel Computing and Caching
Background tasks & task queues
- How To Use Python Celery with Redis for Task Queues
- How To Use APScheduler for Task Scheduling in Python
Event streaming
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