Articulating the ineffable. Programming language theory 
cognitive psychology. PhD @Stanford
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Like today, I wanted to filter outliers within a group defined by two columns. Found an SO post about doing this within a single-column group. It used a novel mechanism (broadcasting between dataframes of different sizes) and I kept failing to transfer the example to my task.
Maybe Pandas is just overly complex. I liked @yifanwu's example of 8 different ways to filter a dataframe.pic.twitter.com/J3xLfiVHeG
But at the same time, for the parts of the programming model that I do understand, I feel really productive. It's like a beautiful mix of SQL and jq. I never have to use a for-loop, and I rarely even need a higher-order function.
I was once filtering for dataframe expressions from Jupyter notebooks. Tried making a small grammar to capture them using lark (https://github.com/lark-parser/lark …) and it was frustrating how many different forms there were for subsetting.
but... the top left 3 bullets are the exact same as the top right 3 bullets, it's just a preference on how you access a column of a data frame (not actually how you filter)
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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