I like the idea of Polars, and it's on my list of things to try. Unfortunately, my current codebase in heavily tied to Pandas (bioinformatics tools that use Pan

I like the idea of Polars, and it's on my list of things to try. Unfortunately, my current codebase in heavily tied to Pandas (bioinformatics tools that use Pandas as a dependency). I also deal mostly in sparse matrices, which I'm unsure if duckdb handles. Looking at the Polars documentation also makes me nervous, due to how much of my current Pandas-fu relies on indexing to work. I appreciate that indexes can be NSE but it's how a lot of the current tools in my field work (python and in R) with important data in the index, eg, genes or cellular barcodes, and relying on the index to merge datasets. Another caveat for me is at multiple times in my workflow I drop into R for plots and rpy2 can convert pandas dataframes into equivalent R atomics. With Polars it would be just an additional step of converting to pandas df but just something I need to consider. That said, I've disliked the Pandas syntax for so long that the mental overhead might be well worth it.