Pandas is such a unique learning experience. It's the only tool where my mental model changes substantively every time I use it. Yet, I find Pandas hard to "properly" learn because all the tutorials are boring stock market examples.
In the context of the paper, Yifan was comparing these to "SELECT a FROM df WHERE a > 3", to make the point that SQL offers a single way to do this while pandas has many. But the 8 points definitely come from a combinatorial explosion of fewer choices.
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mm, I see the essence of it, I just think it's a bit misleading, or oversimplified. I definitely recognize that the .loc and .iloc attributes are confusing and I think that's a better example rather than `df[...] ` vs `df._` anyways, the essence is a reasonable point
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cognitive psychology. PhD