[imbiased]

It’s missing that one can use Hydrogen and avoid this problem: https://nteract.io/.

Export isn’t great atm but can be combined with pweave: http://mpastell.com/pweave/docs.html

I think VSCode has something similar.

This gives another advantage of using a proper editor and its entire ecosystem.

[altairiumblue]

With the VSCode Python extension you can directly create cells with #%% in a similar way to Hydrogen. There is also Neuron which allows you to see outputs in a separate pane.

I'm still struggling to find a setup in which cells are auto-generated (or unnecessary like in RStudio) and the autocomplete works as well as in JupyterLab. If I could reliably see all methods/submodules/inline documentation + path autocomplete quickly and for all packages, I would switch to VSCode. (There's a good chance that this just due to me not being fully aware of what's available in VSCode. )

[imbiased]

Have you tried https://atom.io/packages/ide-python for autocompletion/inline documentation? It uses https://github.com/davidhalter/jedi. Also I'd be surprised if those things aren't done properly in VSCode with Python extension(s).

edit: Atom IDE (that this package links to) has been deprecated last week or so by Facebook, I'm not sure what dependencies packages like the above have on the atom-ide-ui.

[pavanagrawal123]

I have never programmed in R before, but why do you say that there is no need for cells?

I use cells/notebooks in Python, so I can keep my code organized and run computationally intensive things once... Is this something that is not needed in R?

[altairiumblue]

So firstly, you can use R in Jupyter in the exact same way you use Python (ju-pyt-er stands for Julia, Python, R).

Then R also had RMarkdown which allows to have notebooks with executable cells (code chunks) and they play much nicer with version control than .ipynb files.

What I was referring to in my previous post is working with a .R file (which is plain text) in RStudio. If my cursor is on a single line which is also one statement, ctrl/cmd + enter executes that statement and shows me the output in the console or in a separate pane for plots. If the cursor is within a multi-line expression such as a plot declaration, beginning of a loop, function declaration, then the interpreter figures out that I want to run multiple lines and executes the whole loop/declares function/creates plot. Or I can also select some code and run it.

Ideally, this is the kind of behaviour that I'd like to replicate with a .py file. It's a nice interactive workflow and also solves the problems that jupyter has with version control.

[pavanagrawal123]

Interesting... I'm currently working on VSNotebooks (extension for VScode), which is a fork from Neuron... I would love to get some ideas that could help bring notebooks into the future, so thanks for your reply!

[imbiased]

Pweave seems to give the same as RMarkdown but for Python and other languages: https://github.com/mpastell/Pweave. Examples: http://mpastell.com/pweave/examples/index.html

[kylebarron]

Improved export from Hydrogen to Jupyter Notebooks is at the top of my wishlist, and I'm hoping to submit a PR for it soon. See this issue: https://github.com/nteract/hydrogen/issues/1296

[kylebarron]

In case anyone reads this, I submitted a PR to support exporting Markdown cells from Hydrogen: https://github.com/nteract/hydrogen/pull/1498