fast-ruby VS PyCall.jl

In this perspective, maybe the compilation of approaches by Fast Ruby provides a similar point of entry.

Great article! I'm one of the maintainers of the `fast-ruby` project and I was glad to see that we have a benchmark for those idioms over here: https://github.com/fastruby/fast-ruby/blob/master/code/general/attr-accessor-vs-getter-and-setter.rb 🤓

Stylistically, chomp has a bit more of the whimsy that you might expect from Ruby, while delete_suffix is a nice mirroring of delete_prefix and more explicitly named. Both have similar performance benchmarks and are faster than sub.

If you’re interested in speed, check this repo: even among Ruby idioms there are big speed differences.

https://github.com/JuanitoFatas/fast-ruby

For point 3 you can use https://github.com/cjdoris/PythonCall.jl or https://github.com/JuliaPy/PyCall.jl (and their respective Python sister packages).

PyCall.jl is really handy. Are there any similar projects for calling Chapel code, or Carbon/zig?

Julia and Python interop should not be a problem at all. Actually Julia has one of the best interops I’ve ever seen, so much that swift copied it. https://github.com/JuliaPy/PyCall.jl

One small note, julia also has great python interop via PyCall.jl

It is possible to call Python from Julia using PyCall. Then to install PyCall, run the command in the Julia REPL.

That said, you can run python modules in Julia. So you can just export your code as a module and then use it in Julia via the PyCall package. short description here github here <— you’d just add the pacakge via the really nice package manager built into julia, but for link for more detailed documentation