I don't the inconsistent, bad CLI be dismissed so easily. That’s the barrier that first must be overcome to get to any mental model stuff. People have learned m

I don't the inconsistent, bad CLI be dismissed so easily. That’s the barrier that first must be overcome to get to any mental model stuff. People have learned more complicated things, but have had better abstractions to work with. Numpy is hard. But it’s less about accidental complexity of the interface and more about the array programming paradigm being unusual for most people. Spark is hard. But it’s because distributed data frame processing is hard. Whereas pyspark had made a lot of the actual abstractions easier to work with. Compare this to Hadoop back in the day which has both accidental and real complexity.