How have you implemented background task processing in Django projects?

In Django projects, third-party libraries such as Celery are often used for background task processing. Celery allows executing long or resource-intensive operations asynchronously, without blocking the main request processing thread.

Main implementation steps:

1. Installing and configuring a message broker (e.g., Redis or RabbitMQ).
2. Connecting Celery to the Django project.
3. Defining tasks in a separate module.
4. Running the Celery worker, which will execute tasks in the background.

Example task in tasks.py:

from celery import shared_task

@shared_task
def send_email_task(email_address):
    # email sending logic
    pass

Calling the task from Django code:

send_email_task.delay('user@example.com')

This allows not to delay the user response and to efficiently distribute the load.