[carbocation]

I write a lot of Go, and I spend most of my time doing analysis (usually in R, occasionally in python). I'm interested to understand whether there was a specific motivating example that drove the creation of this new go-like language.

This is Hacker News, so there definitely doesn't need to be anything beyond "I could, so I did." But if this actually solves some problem better than existing solutions, it would be cool to read about. Edit: Without a motivating example, it's hard to imagine that people will want to pickup a Go-like (but not exactly Go) language for data science.

[iujjkfjdkkdkf]

> Without a motivating example, it's hard to imagine that people will want to pickup a Go-like (but not exactly Go) language for data science

Exactly. I use almost exclusively python (including for data science- or ML really). I've been wanting an excuse to learn Go by doing a project with it. But learning some third Go-like language would be a tougher sell for me, unless there is really something it does better than python, because it still doesnt give me the benefit of learning Go.

But like someone else said, "because you can" is usually a good enough reason to build or learn a new language, so I'm sure it's still worth it for many.

[CameronNemo]

If you are looking to learn a language specific to data science, Julia is fairly mature.

[resonantjacket5]

It seems it compiles down to golang usually? As in the read me they run ``` gop go tutorial/ # Convert all Go+ packages in tutorial/ into Go packages go install ./... ```

It's more like typescript for javascript than a completely separate language.