Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
This is a test project where you can explore how github interprets Org-mode files
i strongly agree with what you are saying about Jupyter, however i strongly disagree about using netobooks in general
one of the key things that a good notebook system must allow you to do is to mix something like markup format + LaTeX + source code. writing math-heavy documentation and explanations is simply impractical and limited (readability suffers) if done in comments. jupyter however is severely limited as it is unreadable in its raw format and therefore does not play well with a version control system such as git
instead there is a solution that allows one to do everything jupyter does good with the additional benefit that it plays with version control really well - ie org-mode . the only difference is that instead of using a browser to interact with it, you use emacs. the added benefit to this is that you can also use full-featured key bindings (emacs / vim) and even integrate a language server for auto-completion 
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A Git extension for JupyterLab
I use this plugin for my jupyter notebook git integration. It has a git diff option that's useful but gets very slow for complex documents. Perhaps under the hood it's using one of the other tools mentioned in the postscript.
stock market models - have fun (by martinshkreli)
If there a good place to see Jupyter note books solving a real problem?
Idk, like importing some data and doing some analysis / forecasting?
Most notebooks appear really bad quality. Worse internally.
Better off looking at some excel https://github.com/martinshkreli/models
Open-source scientific and technical publishing system built on Pandoc.
🎈 Simple reactive notebooks for Julia
Others have mentioned the usefulness of literate programming so I won't reiterate that.
Partially the lack of discipline comes from the implicit data dependancies between cells. Variables are all globally scoped and unless you ensure the notebook can be ran top to bottom its easy to introduce subtle bugs. I believe Julia's https://github.com/fonsp/Pluto.jl solves this issue quite well.
Another part comes from cells that should really be functions. In my opinion this is because functions are 2nd class citizens compared to cells, and could be improved with UI (function cells? node based programming?).
Programming is more than just manipulating text, so why shouldn't tools move in a direction of just being fancy text editors?
Clean Jupyter notebooks of outputs, metadata, and empty cells, with Git integration
Has been my go to for this. It seems like nbdev2 is fastais own cooked solution with a bunch of other tools.
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A reactive Python kernel for Jupyter notebooks.
> It would be nice if there were something that would make out-of-order problems light up, the way that code editors can highlight errors while you're editing.
An interface to communicate with Jupyter kernels. (by emacs-jupyter)
Ask HN: Are there any good Diff tools for Jupyter Notebooks?
9 projects | news.ycombinator.com | 22 May 2022
Do you git commit jupyter notebooks?
2 projects | /r/datascience | 23 Jun 2023
JupyterLite is a JupyterLab distribution that runs in the browser
10 projects | news.ycombinator.com | 28 Nov 2022
Best extensions for JupyterLab!!
11 projects | dev.to | 22 Dec 2021
Why is autosave off by default whenever I launch a Jupyter notebook server?
1 project | /r/JupyterNotebooks | 26 Oct 2021