jupytext VS vim-ipython-cell

Jupytext (https://github.com/mwouts/jupytext) has been designed exactly for this

jupytext is your friend.

So if you run your own jupyter server, -jupy+text can be a great workflow : it takes your notebook synchronized with other formats (python file, makdown, ...), so you can edit your py/md file with neovim, and refresh the browser to execute the notebook.

Automatically convert ipynb files to py when saving them on JupyterLab

I don't use Jupyter so I don't know for sure, but on a quick glance you might want to look at https://github.com/mwouts/jupytext to see if that could help at all.

The format is only partially invented, it follows Jupytext [0], but adds support for cell metadata. There is no obvious way to get that in fenced codeblocks, especially with the ability to spread it over multiple lines so it plays well with version control.

One more consideration is that it's not "Markdown with code blocks interspersed", one might as well use plaintext or AsciiDoc.

Of course there are tradeoffs.. I wish I had more time to work on it.

[0]: https://github.com/gzuidhof/starboard-notebook/blob/master/d...

[1]: https://github.com/mwouts/jupytext

Using jupytext (allows you to open .md files as notebooks) + jupyter gives you pretty much the same experience. The main issue is that the cell's output will be discarded. To fix it, you can use ploomber to generate an output HTML, so the workflow goes like this:

First, the format. The ipynb format does not play nicely with git since it stores the cell's source code and output in the same file. But Jupyter has built-in mechanisms to allow other formats to look like notebooks. For example, here's a library that allows you to store notebooks on a postgres database (I know this isn't practical, but it's a great example). To give more practical advice, jupytext allows you to open .py files as notebooks. So you can develop interactively but in the backend, you're storing .py files.

hanschen/vim-ipython-cell: Seamlessly run Python code in IPython from Vim with tmux

With stuff like https://github.com/dccsillag/magma-nvim or https://github.com/hanschen/vim-ipython-cell, I rarely never use a Jupyter notebook anymore.

I like to use Vim and Tmux on Linux, however, for Python I often end up using the Spyder IDE as it has the convenient functionality of putting all the plots in one window and allowing me to scroll through it when I have multiple graphs for a script. I am aware of nice solutions like https://github.com/hanschen/vim-ipython-cell and https://gontcharov.be/blog/vim-tmux-python that allow one to use VIM and TMUX. This seems like an excellent solution, but I am missing the figure component. Anybody has a good suggestion for that?

I personally have vim (or neovim) and IPython open in two panes in tmux and then use my plugin vim-ipython-cell to run the code. It supports running code cells similar to what you have in Jupyter notebooks, so you can for example have one cell that reads the data and another cell to make the plot, and then just re-run the plotting part.

If you'd like a Jupyter Notebooks-like experience, where you execute one cell at a time and such, try these together: - https://github.com/hanschen/vim-ipython-cell - https://github.com/jpalardy/vim-slime - tmux or you could try using vim's builtin terminal, though it's a bit... unideal - ipython of course. It's way better for interactivity than python3

If you use vim, you can also try https://github.com/hanschen/vim-ipython-cell . It works quite well