APL.jl

> library in any existing language An example of this is APL.jl [1][2] It seems more of a proof-of-concept than a real implementation though - at least, the APL wiki calls it a "toy dialect of APL" and says that it "works on a minor subset of APL". [3] [1] demo: https://nbviewer.org/gist/shashi/9ad9de91d1aa12f006c4 [2] repo: https://github.com/shashi/APL.jl [3] https://aplwiki.com/wiki/APL.jl

Julia spells "scan" as "accumulate". I don't think we have something exactly like replicate out of the box, but it's a one-line function definition away: replicate(inds, v) = mapreduce(((i, n),) -> fill(v[i], n), vcat, enumerate(inds)) I agree with the spirit of your point though. Having operations like this as part of your 'alphabet' can be a really powerful thing. That's why I think APL is really well suited to being a domain specific language embedded in a language like julia. Shashi took a stab at this a few years ago, but it'd be nice to revive it: https://github.com/shashi/APL.jl

Perl was my horse in the race. I attribute it's, lisp's, ruby's, etc loss to 1. "There should be one-- and preferably only one --obvious way to do it" being part of python's ethos. 2. ipython repl 1. pairs with jaimebuelta's artistic vs engineering dichotomy, but also plays into the scientist wearing many more hats than just programmer. Code can be two or more degrees removed from the published paper -- code isn't the passion. There isn't reason, time, or motivation to think deeply about syntax. 2. For a lot of academic work, the programming language is primarily an interface to an advanced plotting calculator. Or at least that's how I think about the popularity of SPSS and Stata. Ipython and then jupyter made this easy for python. For what it's worth, the lab I work for is mostly using shell, R, matlab, and tiny bit of python. For numeri

In Julia: https://github.com/shashi/APL.jl

There's a start for this in Julia[0], where custom string literals mean that you can actually write APL in native Julia: julia> apl"ι5" 1:5 julia> apl"+/ι5" 15 You can even just get the function that represents the `+/` operation and apply it to any Julia object: julia> apl"+/"(rand(100)) 52.17866879741195 0. https://github.com/shashi/APL.jl