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Re:Modern Python Performance Considerations by pjmlp on Thursday May 05, 2022 @01:51PM (#31276500)
Java, C#, F#, Lisp variants, and C++.

Eclipse has Java scratchpads for ages, Groovy also works out for trying out ideas and nowadays we have jshell.

F# has a REPL in ML linage, and nowadays C# also shares a REPL with it in Visual Studio.

Lisp variants, going at it for 60 years.

C++, there are hot reload environments, scripting variants, and even C and C++ debuggers can be quite interactive.

I used GDB in 1996, alongside XEmacs, as poor man's REPL while creating a B+Tree library in C.

Yes, there are Go interpreters available,

https://github.com/traefik/yaegi

Re:Modern Python Performance Considerations by cozzyd on Thursday May 05, 2022 @09:37PM (#31280251)
Particle physicists have been using interpreted c++ for "macros" forever. First using the terrible hack of cint, now using cling which is quite good.
Re:Modern Python Performance Considerations by pjmlp on Friday May 06, 2022 @01:31AM (#31281645)
Indeed, although I remember there used to be some commercial ones as well, from ads on The C/C++ Users' Journal and Dr. Dobbs.