No surprise I use python, but I’ve recently started experimenting with polars instead of pandas. I’ve enjoyed it so far, but Im not sure if the benefits for my team’s work will be enough to outweigh the cost of moving from our existing pandas/numpy code over to polars.
I’ve also started playing with grafana, as a quick dashboarding utility to make some basic visualizations on some live production databases.
Anyone have any good pointers to DevOps resources or strategies? My data scientists keep stating that they need different approaches to ci/cd, but never seem to have actual requirements other than wanting to do things differently. I’d really like to offer them an easy way to get what they need while also complying with company policy and industry best practices, but it doesn’t seem to have any real differences