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It's complementary, since unlike R/Pandas it can fit too-big-for-memory data - I've used it ad-hoc to store big-ish datasets to pull into R. Though if you're us
by tfehring 6y ago
It's complementary, since unlike R/Pandas it can fit too-big-for-memory data - I've used it ad-hoc to store big-ish datasets to pull into R. Though if you're using Python I think that use case is mostly superseded by Dask.