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A comment on Think Julia: How to Think Like a Computer Scientist. Parent comment

Re:Think Julia: How to Think Like a Computer Scientist by zzleeper on Saturday August 18, 2018 @12:28AM (#17786871)
Early on (as a heavy Stata and Python user) I tried Julia and got quite discouraged by its messy treatment of missing values (and weights, etc). I've also tried R but also found lots of inconsistencies, so not enough reason to switch, besides when plotting nice graphs.

But I would say Julia is increasingly getting there. Comparable packages are WAY easier to write in Julia than in Stata/Mata, while being faster, so any gaps will keep disappearing in the next hears.

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Re:Think Julia: How to Think Like a Computer Scientist by babahoyo on Saturday August 18, 2018 @12:55AM (#17786946)
you were somehow satisfied with the way stata handles missing values???

    gen x = y if z > 4 // headaches abound
Julia's missing value support is great now and is only going to get better. You have to be more careful with how you use them, but you won't get anything like the output above in julia.

* For reference, stata uses +Inf as missing value, so any operation with "greater then" is going to assign missing values to something. And yes, there have research papers retracted due to this behavior.

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Re:Think Julia: How to Think Like a Computer Scientist by cuchoi on Saturday August 18, 2018 @09:10PM (#17791915)
One of my least favorite quirks of Stata
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Re:Think Julia: How to Think Like a Computer Scientist by skybrian on Saturday August 18, 2018 @12:47AM (#17786916)
Did you see how Julia does missing values now?

https://julialang.org/blog/2018/06/missing

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