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I'm surprised you dont like pandas. I've found it to be a pretty easy to use and useful tool and you can almost always use something like DASK (or if youre lucky CUDF from rapidsai) if you need better performance.

I will say that my very first "real" programming experience was Matlab at a research internship, so maybe i just got used to working in vectors and arrays for computational tasks.

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> i just got used to working in vectors and arrays for computational tasks.

Have you worked with R? R, like matlab, natively supports vector based operations. In fact, all values in R are vectors. Many of the problems with Pandas ultimately boil down to the fact that you have to replicate this experience without truly being in a vector based language.

Numpy has a better api than pandas if we're strictly talking about vectors and arrays.

Pandas indexing makes sense once you get it, but it does seem to require a lot more words than equivalent statements in R.

My primary language is python, but I have been picking up some R.

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