entr
jupytext
entr | jupytext | |
---|---|---|
47 | 20 | |
4,010 | 6,418 | |
- | - | |
6.8 | 8.8 | |
28 days ago | about 1 month ago | |
C | Python | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
entr
- Entr – tool for watching files and running commands
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Meet entr, the standalone file watcher
entr ("Event Notify Test Runner"; GitHub), is a command-line tool written by Eric Radman that allows running arbitrary commands whenever files change.
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How to build a website without frameworks and tons of libraries
I use something very similar on https://lunar.fyi and https://lowtechguys.com but I wouldn’t call this “simple” anymore.
They use Jinja templating, I prefer Slim (https://github.com/slim-template/slim#syntax-example) which has a more Pythonic syntax (there is plim [0] in Python for that)
I use Tailwind as well for terse styling and fast experimentation (allows me to write a darkMode-aware and responsive 100 line CSS in a single line with about 10 classes)
For interaction I can write CoffeeScript directly in the page [1] and have it compiled by plim.
I run a Caddy static server [2] and use Syncthing [3] to have every file save deployed instantly to my Hetzner server.
I use entr [4] and livereloadx [5] to rebuild the pages and do hot reload on file save. All the commands are managed in a simple Makefile [6]
———
You can already see how the footnotes take up a large chunk of this comment, this is not my idea of simple. Sure, the end result is readable static HTML and I never have to fight obscure React errors, but it’s a high effort setup for starters.
Simple for me would be: write markdown files for pages, a simple CSS for general styling (should be optional), click to deploy on my domain. Images should automatically be resized to multiple sizes and optimized, videos re-encoded for smaller filesize etc.
I have mostly implemented that for myself (https://notes.alinpanaitiu.com/How%20I%20write%20this%20blog...) but it feels fragile. I’d rather pay for a professional solution.
[0] https://plim.readthedocs.io/en/latest/
[1] https://github.com/FuzzyIdeas/lowtechguys/blob/main/src/rcmd...
[2] https://caddyserver.com/docs/command-line#caddy-file-server
[3] https://syncthing.net
[4] https://github.com/eradman/entr
[5] https://nitoyon.github.io/livereloadx/
[6] https://github.com/FuzzyIdeas/lowtechguys/blob/main/Makefile
- How to start a Go project in 2023
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[Guide] A Tour Through the Python Framework Galaxy: Discovering the Stars
Try entr for fast reloading. Another one is hupper.
- Use entr when working on you rice for auto config refreshing
- The Unix process API is unreliable and unsafe
- How do you develop cloud-native applications locally on Kubernetes?
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What are the not-so-obvious tools that you don't want to miss?
entr
- Test driven development is adhd dream
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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Two questions regarding working with jupyter notebooks (git, vim)
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.
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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...
[1]: https://github.com/mwouts/jupytext
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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.
What are some alternatives?
watchexec - Executes commands in response to file modifications
jupyter - An interface to communicate with Jupyter kernels.
nextjs-tailwind-ionic-capacitor-starter - A starting point for building an iOS, Android, and Progressive Web App with Tailwind CSS, React w/ Next.js, Ionic Framework, and Capacitor
rmarkdown - Dynamic Documents for R
modd - A flexible developer tool that runs processes and responds to filesystem changes
sagemaker-run-notebook - Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events
swc-node - Faster ts-node without typecheck
nbdev - Create delightful software with Jupyter Notebooks
air - ☁️ Live reload for Go apps
papermill - 📚 Parameterize, execute, and analyze notebooks
vim-test - Run your tests at the speed of thought
nbdime - Tools for diffing and merging of Jupyter notebooks.