When I read this article the other day I had the exact same thought. Is this simply correlation, or is it causation? Is teenage usage an indicator of a possible underlying condition that hasn’t fully manifest? Is it an early form of self medication?

I’ve been using the django-tasks library in production for about a year. The database backend and simple interface have been great. It definitely isn’t intended to replace all of celery, but for a simple task queue that doesn’t require additional infrastructure it works quite well.

While I don’t disagree, there are a number of additional stub libraries you can install that provide typing for libraries that don’t already have them. I personally find [django-types](https://pypi.org/project/django-types/) to be really well constructed and useful.

Fabric may eat some of the descriptive analytics portion of Databricks’ lunch, but for core data engineering workflows there is nothing in the Fabric—or Synapse or Power BI—ecosystem that comes close.

There are other fatal flaws to the Spark implementation in Synapse that I think carried over to Fabric. Worst one is the clunkiness/inability to run multiple notebooks concurrently on a cluster.