[Suggestion] Integration of Go & Github wirh RStudio

[englianhu]

Just has an idea which is if RStudio would be able to intergrade with Psiphon via Go langguage where users can select ip address (ip across all softwares/browsers etc Psiphon | 常见问题与解答) casually.

Running GO code from R

The intention is eventually to make something like Rcpp for go. I need to find some way of resourcing myself to that. In addition to the blog posts @Aurele mentioned , there are bits and pieces in that gh org. It's very basic and proofofconcepty so far, but I do believe there is space for go in R.

Golang (GO programming language) integration

Hi; I would really appreciate if we could have GO integrated with RStudio, showing up as an optional language in the insert menu. There is already some work done by other users ( see https://github.com/yihui/knitr-examples/issues/54) but they fail to work from RStudio. Thanks

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2ndly, collaboration across all relevant forked Github repos

Github repo can be forked and compare the updates via upstream, if Github can intergrate all relevant forked repos (networks) and all users can optional choose update from some/all repos, it can make the application upgrade to be best among contribution among some/all repos.

[englianhu]

R with Go language

Haskell is a very elegant language. The Pandoc heavily used by R Markdown and Bookdown was implemented in Haskell. Haskell compilers are evolving a lot. Many here speak ill of Haskell because of the purism of functions. Best regards, Pedro Rafael.

Why is Haskell (GHC) so darn fast?

The users of Haskell are banks, payment systems, companies related to the crypto-currency business, big corporations, and others. It is usually used because there are engineers who like Haskell and who have enough influence to promote it for solving actual business problems. Sometimes there are CEOs who believe that Haskell will give them an edge (visionaries).

Source : Haskell vs OCaml

Tried to read through Haskell via above links, there will be good enough if apply Haskell to deploy a Shiny web application especially on HFT.

A Simple Shiny App for Monitoring Trading Strategies With R.

https://towardsdatascience.com/how-to-build-an-automated-trading-system-using-r-34892b6d3320

Handle high frequency data volume

database should be solution you are after, depending on amount of data sqlite may be able to accommodate this if not then postgresql. given write every second this will result in 31.5M rows/year. How do you then want to use it? do you want to read all into Rsession to analyze (if so then R copy-on-write may be a showstopper therefore you will have to reach for C++/Fortran with pointer functionality)? just thinking in quickly, you will need index in table in DB which will slow down write but speed up read significantly. maybe two tables in db, one to be read from, indexed however updated every night, the second one live, non indexed where you write scraping data. sqlite: portable, easy to…