Nathaniel Nicandro

Results 156 comments of Nathaniel Nicandro

If you are saying you would like a hook that triggers when a cell has completed that is doable. The hook can be run in `jupyter-handle-execute-reply` in `jupyter-org-client.el`. A text...

Do you still experience this issue? One thing you can try is to start from an Emacs with only Jupyter loaded and see if you still get this extra spacing....

Are you still seeing freezes? The end-of-input signal should already be handled by [this line](https://github.com/nnicandro/emacs-jupyter/blob/20e68a683632d4772780199216932223fa404aa7/jupyter-mime.el#L681). There shouldn't be any user interaction required to signal the end-of-input to the Pandoc process.

The function that is used to save an image to disk is `jupyter-org--image-result` which just writes the image data as returned by the kernel to disk and returns an Org...

I think this has something to do on the Julia end. The inspect request that is sent by `emacs-jupyter` includes the `@` sign. I found [this related issue](https://github.com/JuliaLang/IJulia.jl/pull/721).

> When I invoke that function inside a code block with org-babel-execute-src-block, I get the same minibuffer prompt, but no output is shown either in repl or under the source...

@fbielejec When you run `M-: jupyter-repl-lang-mode RET` in the PySpark REPL buffer what do you get? @fleimgruber The current behavior is there because it's simpler. I don't think there would...

You can add the quotes to the argument of the function below https://github.com/nnicandro/emacs-jupyter/blob/6ce8d01e3a550a3268b415bf9d9b635d4dba5940/jupyter-python.el#L77-L78 and submit a pull request. But I think you should use double quotes since single quotes are...

The "file holding the connection" is the connection file as explained [here](https://jupyter-client.readthedocs.io/en/latest/kernels.html#connection-files). `jupyter-connect-repl` is used when you would like to connect to an already launched kernel, e.g. launched through some...

Can you evaluate `(setq jupyter--debug t)`, try again, and then show the messages produced in the `*Messages*` buffer.