Python Background Jobs & Task Queues

This skill provides comprehensive guidance and implementation patterns for Python-based background job systems. It enables developers to move long-running operations—such as email dispatch, media processing, and report generation—out of the main request thread using industry-standard tools like Celery, RQ, and Dramatiq. By focusing on critical architectural concepts such as idempotency, job state management, and dead letter queues, it ensures that asynchronous workflows are not only high-performing but also resilient, observable, and easy to debug.

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