This may be extremely niche, but if you need to run a Jupyter kernel in a SLURM job, e.g., to reserve a GPU, and connect it to a notebook in VS Code, here's a solution: https://docs.calkit.org/tutorials/vscode-slurm-notebook/

#opensource #jupyter #hpc #cuda

MyST Markdown 1.8 introduces updates that improve how structured, machine-readable content is created and managed across Jupyter workflows.

These changes support better interoperability, extensibility and validation for computational documents, making it easier to build reusable publishing pipelines.

Learn more: https://blog.jupyter.org/whats-new-in-myst-markdown-1-8-2-b7ae8975b03e

#Jupyter #OpenSource #ScientificComputing

If you're hosting a workshop and considering hosting JupyterHub to allow people to get hands on with code without the hassle+time sink of self-installation, I've put together a guide covering a self-hosted way to do this: https://fluids.rocks/posts/tljh/

I held a workshop for #pyrolite back in 2024 and tried doing this with a VPS but had a bunch of trouble getting a beefy node for the 40 odd people without having some history with the major cloud players (one even banned and deleted my account for 'suspicious activity' without explanation). Have been frustrated since, so glad to be able to demonstrate an alternative for where you do have some hardware lying around.

#jupyter #jupyterhub #Python #workshop #selfhosting

Ein Geschenk zu Ostern: MyST Markdown 1.8.2 ist draußen

Ich kann ja nicht immer nur von meinen (zukünftigen) virtuellen Reisen ins Wunderland träumen, sondern gelegentlich sollte ich auch mal wieder über meine Publikationsstrategie nachdenken. Und da stehen zur Zeit MkDocs (Material) und MyST Markdown ganz oben auf der Liste der dafür nutzbaren Werkzeuge. https://kantel.github.io/posts/2026040302_myst_markdown_1_8_2/ #MystMarkdown #Markdown #Jupyter #JupyterLabDesktop #JupyterBook

Python para Ciencia y Tecnología

Comparto el enlace a este impresionante libro gratuito y en español, agradeciendo por el trabajo que se han tomado los autores Facundo Batista y Abel Carlevaro.

https://libropython.science/

Este libro está pensado para quienes trabajan en investigación, docencia o desarrollo tecnológico, y busca acercar Python al mundo científico.
No dejen de ver sus CV y los enlaces para colaborar.

Gracias Facu y Abel !!!

The JupyterLab extension ecosystem now includes more than 700 extensions built by contributors across the community.

These tools expand notebook workflows with visualization tools, AI integrations and developer utilities.

Learn more: https://blog.jupyter.org/700-jupyterlab-4-extensions-8ac295b3d974

#Jupyter #JupyterLab #OpenSource #DeveloperTools #DataScience

JupyterLite 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