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thijsn | 1 month ago
pandas is write-optimized, so you can quickly and powerfully transform your data. Once you're used to it, it allows you to quickly get your work done. But figuring out what is happening in that code after returning to it a while later is a lot harder compared to Polars, which is more read-optimized. This read-optimized API coincidentally allows the engine to perform more optimizations because all implicit knowledge about data must be typed out instead of kept in your head.
goatlover|1 month ago
No doubt some of this comes down to preference as to what's considered readable. I never really bought that argument that regular expressions create more problems than they're worth. Perhaps I side on the expressivity end of the readability debate.
thijsn|1 month ago