why? It's the industry standard as far as my reach goes.
What other framework would you replace it with?
No, polars or spark is not a good answer, those are optimized for data engineering performance, not a holistic approach to data science.
> No, polars or spark is not a good answer, those are optimized for data engineering performance, not a holistic approach to data science.
Can you expand on why Polars isn't optimised for a holistic approach to data science?
What can you do in more easily in pandas than polars?
You can assert whatever you want, but Polars is a great answer. The performance improvements are secondary to me compared to the dramatic improvement in interface.
Today all serious DS work will ultimately become data engineering work anyway. The time when DS can just fiddle around in notebooks all day has passed.