What are the best practices for task management in Python?

What are the best practices for task management in Python?

Some best practices include using libraries like Celery for asynchronous tasks, organizing tasks into modules, and using decorators for task management.

Can you explain how to use Celery for task management?

Sure! Celery is a distributed task queue that allows you to run tasks asynchronously. You define tasks using decorators and can schedule them to run at specific intervals.

What are some common pitfalls to avoid when managing tasks?

Common pitfalls include not handling exceptions properly, overloading the task queue, and not monitoring task performance.

How can I monitor the performance of my tasks?

You can use tools like Flower for monitoring Celery tasks, which provides a real-time web-based interface to track task progress.