Data scientist here. I still use pandas. It is a work horse. But today, the progress in data science is much more in integrating sources and outputs. I find Grist (via API) and n8n much more applicable and process oriented than core DS pandas - although all of these components fit together somewhere. Most of the time, there is very little binding glue needed, e.g. a bash script or standard python file. DS is still fun, but it is much more process oriented today!