
Celery Has a Free Distributed Task Queue for Python Background Jobs
Celery processes millions of tasks per day with automatic retries, scheduling, and distributed workers. The standard for Python background processing. When You Need a Task Queue Your web request takes 30 seconds (sending emails, generating reports, processing images). Users wait. Timeouts happen. Celery: offload long tasks to background workers. Return response immediately. What You Get for Free Define a task: from celery import Celery app = Celery ( ' tasks ' , broker = ' redis://localhost:6379 ' ) @app.task ( bind = True , max_retries = 3 ) def send_email ( self , to , subject , body ): try : smtp . send ( to , subject , body ) except Exception as exc : self . retry ( exc = exc , countdown = 60 ) # retry in 60s Call it from your web app: # This returns IMMEDIATELY result = send_email . delay ( ' user@test.com ' , ' Welcome! ' , ' Hello... ' ) # Check status later print ( result . status ) # PENDING, STARTED, SUCCESS, FAILURE print ( result . result ) # return value when done Features
Continue reading on Dev.to Python
Opens in a new tab



