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They're for tables and doing table-ie things: an imperative programming method for the same tasks people use Excel or SQL for. This dovetails nicely with most
by shirakawasuna 8y ago
They're for tables and doing table-ie things: an imperative programming method for the same tasks people use Excel or SQL for.
This dovetails nicely with most data science-ie tasks, like statistical analysis, engineering features, simple machine learning techniques (the tables can be easily transformed into numpy arrays), and plotting results.
You can use them any time you feel the need to do table manipulations on non-insanely-large data: aggregate, transform, combine, split, reshape, join...
- vonseel 8y agoGot it, I was aware of this and many of the performance benefits another user mentioned, but wasn't sure how it could be useful in daily operation or quick Django shell_plus style scripting (one-off commands) when inspecting something like a User's table, as the original comment above indicated.