Use the right tool for the job. https://julialang.org/ 
<https://julialang.org/blog/> 
or ask on gonum-dev

On Tuesday, July 16, 2019 at 8:18:21 PM UTC+3, Leo R wrote:
>
> Hi Gophers!
> I was thinking to start a Go project in the area of Data Science that 
> would allow for convenient and easy concurrent data processing but at the 
> end decided against it mainly because of two reasons:
>
> (1) Almost all data science projects start with a data exploratory 
> analysis of some sort. Unfortunately, Go does not have REPL. Go Playground 
> is not a substitute, for it does not preserve state. On every iteration 
> Playground recompiles and relaunches the entire program, reads all the data 
> anew, performs all the calculations. Not good for an interactive "rapid 
> fire".
> REPL in a static AOT compiled language is hard, yet Swift somehow managed 
> to implement it.
>
> (2) Even if somebody implements incremental Go compiler and provides a 
> proper REPL, people will be longing for data analysis "at your fingertips", 
> missing rich pandas-like API, overloaded operators (python style) and 
> dynamical scoping (like in R). Minimalistic design of Go is unlikely to 
> accommodate all of these "convenience" constructs and for a good reason.
>
> I think Go has a place in highly performant concurrent data pipelines and 
> transformations but I am less optimistic it would ever play in the field 
> dominated currently by Python and R and possibly by Julia in the future. I 
> am curious of what am I missing in this line of thinking?
>
> Thanks,
> --Leo
>
>

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