Monika Barget
Raniere SilvaOn my way to #PyConDE26 for a full week of #Python 🐍. Let's talk about #Jupyter, #JupyterHub, #JupyterLite, #mybinder, and #WASM. #PyConDE
@rgaiacs Ohh, if there's any news on #JupyterLite, please share! I have tried to integrate it into one of my teaching repositories to allow my students to run simple Python code directly in their browsers, but my kernel (though visible) is constantly "inactive". Didn't have to fix this yet, so any new developments and best practices are definitely of interest! 😁
Project JupyterJupyterLite enables notebooks to run entirely in the browser without server infrastructure.
Learn more: https://blog.jupyter.org/jupyterlite-officially-joins-project-jupyter-77df24c8db80
#Jupyter #JupyterLite #OpenSource #InteractiveComputing #DataScience
If you are attending #deRSE26 today, visit my poster to learn more about #JupyterLite and how it runs #Python or #Rstats on the users device. #WebAssembly
Quentin GuilloteauOof, finally managed to package #jupyterlite [1] in #nix 🎉
The wasm/nix/jupyterlite communities must have done some important work in the last few years, because I recall trying to package it 3 years ago, and it almost broke me..
Now we have a reproducible CI for producing our tutorial on control theory for computer scientists [2] 🙂 (it used to break all the time because we relied on pip of course)
[1] https://github.com/jupyterlite/jupyterlite
[2] https://control-for-computing.gitlabpages.inria.fr/tutorial/
Jörg KantelJupyterLite ist nun Teil des Projekts Jupyter
JupyterLite ist eine JupyterLab-Distribution, die vollständig im Webbrowser ausgeführt wird und ohne Backend auskommt. Die Kernel werden mithilfe von WebAssembly direkt im Browser gestartet, wodurch ein Anwendungsserver überflüssig wird. https://kantel.github.io/posts/2026021602_jupyter_lite/ #JupyterLite #Jupyter #JupyterLab #Python #PyScript #Pyodide #P5js #DataScience #StatischeSeiten
#JupyterLite Officially Joins Project Jupyter!
🌟 JupyterLite, the lightweight, browser-based Jupyter distribution, has officially become part of Project Jupyter. This is a major milestone for accessible, no-installation-required data science and education.
With JupyterLite, you can run Jupyter notebooks directly in your browser - no server, and no setup. Whether you're teaching, prototyping, or collaborating, JupyterLite makes interactive computing more scalable and more accessible than ever, anywhere in the world, in Python, R, GNU Octave, and even C++.
This milestone is the result of years of hard work and innovation. A huge shoutout to the incredible team at QuantStack - Jérémy Tuloup, Martin Renou, Thorsten Beier, Isabel Paredes, Ian Thomas, Anutosh Bhat, and Johan Mabille - as well as community contributors Nick Bollweg and Agriya Khetarpal.
As part of Project Jupyter, JupyterLite will benefit from deeper collaboration, innovation, and growth. The future of interactive computing is brighter than ever! This journey wouldn’t have been possible without the support of QuantStack, Bloomberg, the Gates Foundation, and the Jupyter community.
🔗 Read the full announcement here: https://blog.jupyter.org/jupyterlite-officially-joins-project-jupyter-77df24c8db80
🇨🇳🇵🇸🇱🇧🇻🇪🇰🇪🇳🇨🇬🇱🇧🇷(🧆🏳️)Popolon🐷ᠫᠣᠫᠣᠯᠣᠨ🐎抱抱龙🐉بوبولون🤖🦧Today I added some #ArchLinux #AUR packages about #jupyterlite, a light version of #Jupyter that run in WASM on web, as static files service, so reducing security risks. For now, only pyodide (Python scripts) and p5 (js version of #Processing) kernels have be packaged. This took time, due to the number of dependencies, and the incompatibility of kernels with last tinycss python module, and so required a python-tinycss-1.4 AUR package too. You can install directly, using yay, python-jupyterlite-p5-kernel or/and python-jupyterlite-pyodide-kernel, yay will automatically install the package dependencies, but warning that python-tinycss will be downgraded from 1.5.1 to 1.4 (as asked during the process).
The documentation for creating new jupyter instance configuration are here. So on arch (warning, on non-x86_64 architecture (as me, mainly AARCH64 and sometimes RISCV64), you may need to install yay-git, as current stable yay has a bug on compiling packages non-x86_64 architecture.
Installing (as non-root user)
yay -S python-jupyterlite-pyodide-kernel python-jupyterlite-p5-kernel
Creating an instance:
mkdir test
cd test
jupyter lite init
The static web site will be placed in `
jupyter lite build --output-dir /my/loved/static/dir/
If you want to test it quickly, before setting up a web server or uploading it on your favorite host server, you can simply use the included server, by typing:
jupyter lite serve
The instance will then be available at http://localhost:8888/files with both ability to create pyodide and p5 notbooks (if you installed both).
The documentation for creating new jupyter instance configuration are here. So on arch (warning, on non-x86_64 architecture (as me, mainly AARCH64 and sometimes RISCV64), you may need to install yay-git, as current stable yay has a bug on compiling packages non-x86_64 architecture.
Installing (as non-root user)
yay -S python-jupyterlite-pyodide-kernel python-jupyterlite-p5-kernel
Creating an instance:
mkdir test
cd test
jupyter lite init
The static web site will be placed in `
_output` subdir, you can choos another directory by using:jupyter lite build --output-dir /my/loved/static/dir/
If you want to test it quickly, before setting up a web server or uploading it on your favorite host server, you can simply use the included server, by typing:
jupyter lite serve
The instance will then be available at http://localhost:8888/files with both ability to create pyodide and p5 notbooks (if you installed both).
Schlangenfraß: Jupyter Updates
Schon vor einigen Wochen trudelten Update-Meldungen zu JupyterLab, Jupyter Notebook und JupyterLite in meinen Feedreader. Auch wenn ich diese Python-Umgebungen in der letzten Zeit aufgrund anderer Interessen etwas vernachlässigt habe, möchte ich Euch die Updates natürlich nicht vorenthalten. https://kantel.github.io/posts/2025121001_jupyterlab_jupyterlite/ #Python #Jupyter #JupyterLab #JupyterLabDesktop #JupyterLite
Die Wiederentdeckung von MyST Markdown: Mein neues Publikationstool?
Als mir jüngst zwei Videos zu MyST Markdown von unser allwissenden Datenkrake in meinen Feedreader gespült wurden, fiel mir ein, daß mir das Tool vor etwa zwei Jahren schon einmal untergekommen war und ich es so interessant fand, daß ich eigentlich ein paar Tests damit durchführen wollte. https://kantel.github.io/posts/2025111302_myst_markdown/ #MySTMarkdown #JupyterLab #JupyterLabDesktop #Markdown #JupyterLite #JupyterBook #VisualStudioCode #Sphinx #Quarto
