hep VS go-linq

Go is quite a bit cleaner than Python and its concurrency/parallelism primitives can be well suited to scientific workloads.

You may want to have a look at Gonum (https://www.gonum.org), and the Go HEP package developed by CERN (https://go-hep.org).

I was also surprised to see DSP and pretty sophisticated packages, although I never used them: https://awesome-go.com/science-and-data-analysis

And of course Go has Jupyter integration, it's almost like running a script thanks to its fast compilation time.

Have a look at go-hep https://go-hep.org/

ROOT https://root.cern/ , altough https://go-hep.org/ does a great deal!

https://github.com/go-hep/hep/tree/master/hplot#1d-histogram-with-y-error-bars-no-lines

This is a lot more possible now that Go has generics (as of 1.18).

I would probably never use these, as I find such libraries are a whole new domain-specific language to learn, and often don't make things much simpler anyway, but here are some libraries where people have done something like this:

* https://github.com/ahmetb/go-linq: modelled after LINQ, but created pre-generics so only recently added some generics features

So awhile back, there was a port of Linq https://github.com/ahmetb/go-linq that ended up giving up, since then it has been continued with https://github.com/szmcdull/glinq

I am aware of this that predates generics: https://github.com/ahmetb/go-linq/blob/master/groupby.go