Explore the National Gallery of Art’s Open Access dataset in #Jupyter with #Deno
https://blog.jupyter.org/exploring-open-access-art-using-the-deno-jupyter-kernel-da0ad084966e
Explore the National Gallery of Art’s Open Access dataset in #Jupyter with #Deno
https://blog.jupyter.org/exploring-open-access-art-using-the-deno-jupyter-kernel-da0ad084966e
Just had an Oh My F***ing Gosh #Jupyter #Python moment:
Starting to think of demo notebooks and hacked together a "show_page()" function to display an iframe with a webpage in it.
I *thought* I was just fetching and showing rendered HTML and was fine with that.
Then I clicked the home link and discover that I'm actually embedding live little web windows in my notebooks....
Wait, What, Wow How?
Never knew ipthon.display was that friggin awesome and cool.
How fast can we get useful feedback on the Python code we write?
https://davidvujic.blogspot.com/2025/04/feedback-loops-in-python.html
#iden Quick-start verified: Creating and sourcing the #python and #rust virtual environments to compile and install, generating an identity, starting the pad manager, and how to import the library in a #jupyter notebook ready to write and read and poke at the test node.
https://github.com/stevenaleach/iden/blob/main/quickstart.md
#linux #distributed #smallweb #identity #collaboration #code
This now demands a possibly hour long cleaning and re-arranging of the desk so my external monitor can return to proper portrait orientation for #Jupyter notebooks instead of increasingly strange #YouTube playlists.
Which will probably turn into a first day of spring cleaning - it *might* be safe to put my plants outside now at which point I have roughly 200% more space that demands to be cleaned.
:sparkles: A Coarray Fortran Jupyter notebook kernel :cloud: :computer: :notebook: :zap: - GitHub - sourceryinstitute/jupyter-CAF-kernel: :sparkles: A Coarray Fortran Jupyter notebook kernel :compu...
Thanks for your work on a tooling for "the art of doing science", and for going to great length for making it accessible to others. I'll give it a try!
A humble suggestion: since you're writing about your work on a social media without any automated relevance rating and with limited search features, it's advisable to use a salient picture, and hashtags, e.g., the ones below.
#hyperdoc #mooc #datascience #statistics #orgmode #jupyter #research #science
Debugging a complex Python library via a Jupyter notebook is unfairly good tech, yinz.
Now that I've tried it, I can't go back.
My favorite part of this exercise?
Testing the fix in-place by copying the broken method out of the class, editing it, monkey-patching it back into the class definition, and then re-running the small verification setup I threw together in Jupyter. Newly-created class instances are using the new method and the flow goes from "Busted" to "Working."
(Plus, Jupyter supports matplotlib output, which is huge when what I'm debugging is fundamentally geometric in nature).