[go-nuts] Re: Go for Data Science

There is also https://github.com/containous/yaegi described as: Yaegi is Another Elegant Go Interpreter. It powers executable Go scripts and plugins, in embedded interpreters or interactive shells, on top of the Go runtime.

[go-nuts] Re: Go for Data Science

At the risk of mentioning my own work, there are various other extension languages are useful for doing data sciencey things with Go: https://github.com/gijit/gi is an interactive repl for Go that is JIT compiled using LuaJIT (like GoMacro, there is no state reload on each line, and it runs onl

[go-nuts] Re: Go for Data Science

Hello Leo, There is a quite capable Go REPL available; it is called GoMacro. It is actually fairly mature. Massimiliano Ghilardi has done a great job with it. There is even a Jupyter kernel for it. https://github.com/cosmos72/gomacro https://github.com/gopherdata/gophernotes However, using Go d

Re: [go-nuts] Re: Go for Data Science

There is a project that is intended to implement pandas-like data manip: https://github.com/ptiger10/pd On Tue, 2019-07-16 at 16:06 -0700, Leo R wrote: > Regarding REPL in Go, it is complicated. Currently, lgo seems to be > broken > as of go-1.12 (and go-1.13), see README.md in their repo > htt

Re: [go-nuts] Re: Go for Data Science

Regarding REPL in Go, it is complicated. Currently, lgo seems to be broken as of go-1.12 (and go-1.13), see README.md in their repo https://github.com/yunabe/lgo. Until there is an official REPL blessed by the Go core team and included as part of tools, a random unexpected breakage of REPL is a

Re: [go-nuts] Re: Go for Data Science

We'd (gonum-dev) likely advise not to use julia for reasons that I won't go into here. However, I can suggest that the OP checks out the data-science channel on https://gophers.slack.com/ Also note that gorgonia does data-flow graph compilation described Jesper, and there are REPLs that are avail

[go-nuts] Re: Go for Data Science

Use the right tool for the job. https://julialang.org/ 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 conc