jupytext
jupyterlite
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jupytext | jupyterlite | |
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20 | 5 | |
6,379 | 87 | |
- | - | |
8.9 | 8.9 | |
12 days ago | 10 days ago | |
Python | TypeScript | |
MIT License | BSD 3-clause "New" or "Revised" License |
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jupytext
- The Jupyter+Git problem is now solved
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Do you git commit jupyter notebooks?
Jupytext (https://github.com/mwouts/jupytext) has been designed exactly for this
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The hatred towards jupyter notebooks
jupytext is your friend.
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Edit notebooks in Google cloud
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.
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Rant: Jupyter notebooks are trash.
Automatically convert ipynb files to py when saving them on JupyterLab
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JupyterLite is a JupyterLab distribution that runs in the browser
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...
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Many write research papers in R Markdown - What is the alternative setup in Python?
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:
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Jupyter Notebooks.
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.
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Ask HN: Are there any good Diff tools for Jupyter Notebooks?
You can use jupytext to maintain dual .py/.ipynb representation of notebooks and keep both versions in sync:
https://github.com/mwouts/jupytext/blob/main/docs/paired-not...
It works both ways, it can update the .py file each time you save the notebook, or you can edit the .py file and have the jupytext command line tool update the .ipynb.
jupyterlite
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A fast SQLite PWA notebook for CSV files
This is really wonderful! The discussion about lay people's knowledge of sql reminded me that the Pandas API is often useful for non-sql folk. Likewise there are some projects similar to dirtylittlesql to bring Python data manipulation to the browser.
- WASM powered Jupyter (notebook) running in the browser
What are some alternatives?
jupyter - An interface to communicate with Jupyter kernels.
rmarkdown - Dynamic Documents for R
sagemaker-run-notebook - Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events
nbdev - Create delightful software with Jupyter Notebooks
papermill - 📚 Parameterize, execute, and analyze notebooks
nbdime - Tools for diffing and merging of Jupyter notebooks.
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
vim-ipython-cell - Seamlessly run Python code in IPython from Vim
mercury - Convert Jupyter Notebooks to Web Apps
codebraid - Live code in Pandoc Markdown
nbterm - Jupyter Notebooks in the terminal.
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