I've had good experiences running F# on Linux. I used it to build an API generator from database schemas [0]. Similar to Go you can get a single static binary you can copy anywhere.
It's very convenient and you've got a massive number of .NET APIs to fall back on.
The language is a little complex though. That you cannot call interface methods on an object implementing the interface without explicitly casting to the interface [1] is pretty weird. And getters/setters are a little complex.
If you want an easy introduction to the ML family for educational/historic sake I'd always recommend Standard ML. But if you want a highly pragmatic, mature, strictly typed, compiled, cross-platform language F# is pretty compelling.
It's very convenient and you've got a massive number of .NET APIs to fall back on.
The language is a little complex though. That you cannot call interface methods on an object implementing the interface without explicitly casting to the interface [1] is pretty weird. And getters/setters are a little complex.
If you want an easy introduction to the ML family for educational/historic sake I'd always recommend Standard ML. But if you want a highly pragmatic, mature, strictly typed, compiled, cross-platform language F# is pretty compelling.
[0] https://github.com/eatonphil/dbcore
[1] https://docs.microsoft.com/en-us/dotnet/fsharp/language-refe...