[kryptiskt]

Go is a total non-starter, it's not interactive at all. The competitors are things like Matlab, Mathematica, R or Python (with the right math libs). If you're weird you could use something like Haskell, APL or Lisp in this role, but you'd pay a hefty price in available libs.

[VorpalWay]

In what situations would a non-interactive language be a non-starter? I have never felt that I missed having a REPL when coding C++ or Rust. The only reason it is even useful in python is that the type info is laughably bad, so you need to poke things interactivly to figure out what shape of data you should even expect.

(I'll take strong static typing every day, it is so much better.)

[SatvikBeri]

REPLs/notebooks are really nice in situations where you don't know what you want ahead of time and are throwing away 90% of the code you write, such as trying to find better numerical algorithms to accomplish some goal, exploring poorly documented APIs (most of them), making a lot of plots for investigating, or working a bunch with matrices and Dataframes (where current static typing systems don't really offer much.)

[VorpalWay]

Yeah, this is a entirely different domain than what I work in (hard real-time embedded and hard real-time Linux).

Though poorly documented APIs exist everywhere, but they are not something you can rely on anyway: if it isn't documented the behaviour can change without it being a breaking change. It would be irresponsible to (intentionally) depend on undocumented behaviour. Rather you should seek to get whatever it is documented. Otherwise there is a big risk that your code will break some years down the line when someone tries to upgrade a dependency. Most software I deal with is long-lived. There is code I wrote 15 years ago that is still in production and where the code base is still evolving, and I see no reason why that wouldn't be true in another 15 years as well.

At least you should write tests to cover any dependencies on undocumented behaviour. (You do have comprehensive tests right?)

[SatvikBeri]

Yeah it's definitely not for all domains.

I usually write the tests afterwards, except for very well-defined engineering problems, and the REPL exploration helps inform what tests to write.

[kryptiskt]

People working with math or stats are often in an explorative mode, testing different things, applying different transforms to the data, plotting variables or doing one-off calculations. You need some form of interactive session for that to be feasible, whether it is a REPL or a notebook. There actually is a C++ REPL just for this use case from CERN, because they have a ton of HEP C++ code that they want to use interactively.