Randy Lai

Originally, I was thinking `jupyter console --kernel=julia-0.5`, but it seems that it is broken.

it is not possible. I believe that it won't be possible in a foreseeable future.

It is expected due to the limitation of integer size, R has a limitation of ~~2^32-1~~ 2^31-1. It also happens for plain julia integer `RObject(2^63 - 1)`. For those large...

we need to first investigate the time/resources required for checking integer overflow or any other conversion validity. However, making our own exceptions is not a bad idea.

Possible duplicate of #225, #227, #230, #232

Alternatively, we can provide some helper functions. For example ``` R> jput(foo) ```

I just notice that CXX.jl uses the syntax `foo := bar` to assign `bar` to a Julia global variable `foo`. I think this could also be applied to our case...

I guess there is a difficulty in parsing `$foo := bar` from a block of code (one-line command is easy). There are still some details that we have to figure...

I think we should restrict to top level only and the right hand side must be a valid R expression. Also, a different operator for assignment should be used to...

👍 @m-wells I could imagine someone will encounter similar issues sooner or later.