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

I gave a talk on large-scale data visualization on the web at
the 3D on the web meetup last month at GDC, check it out
https://youtu.be/HzcFzCkt5aU?si=6pLmPO9JEPBfMQB1
to hear about what I'm up to with #WebGL #WebGPU #WebAssembly
#Jupyter and some challenges I'm working on that I'd love to chat about!

#Jupyter notebooks support #Coarray #parallel #Fortran kernel.

https://github.com/sourceryinstitute/jupyter-CAF-kernel

Pete Metcalfe shows you how to create a Julia graphical user interface, micro-web server, and charting apps that communicate with Raspberry Pi hardware
https://www.makerspace-online.com/julia-programming-language-on-a-raspberry-pi/?utm_source=mms
#Julia #languages #RaspberryPi #hardware #SBC #programming #DataScience #AI #Jupyter #Python #GUI

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).

Following up on my work with trying to make Python development more interactive with REPL Driven Development (previously posted article "Are we there yet?").

I recorded a very much improvised video

I demo the setup and the workflow. Starting up a Jupyter kernel, connecting to it from my code editor, and modifying a running program.

About 13 minutes:
https://youtu.be/nJC9EVHjI24?si=SpRb-O7aRRGcdV5e

I am really looking forward to a time when scientific data analysis is less of a constant fuckaround and fight with technical bullshit. I'd *really* like

- #netCDF natively supporting complex numbers
- #Python #xarray and #pandas to natively support physical units (#pint is great on its own but the integrations leave a LOT to be desired)
- #Jupyter notebooks to suck less (crashes, glitches, widget plots not saved statically, an effing BUILTIN formatter, etc.)
- proper data pipeline systems
...

Excited to announce the release of the second cat2cloud introductory video!
Our software optimises file transfer and access for server-hosted data . cat2cloud's compression-first framework enables users to minimise transfer times and storage requirements .

In this video, you can see how easy and quick it is to manage file storage using the ubiquitous jupyter notebook format !
Find out more (and see the first video) at https://ironarray.io/cat2cloud!
#API #datascience #compression #jupyter

Quel #jupyter #notebook #jupyternotebook recommanderiez-vous sur #Android ?

Which #jupyter #notebook #jupyternotebook will you recommend on Android

Thank you

adding #hydra in #jupyter #notebooks

Looking for tips on how to love #julialang Pluto.jl. So many people enjoy it and I just don't get it. Likely just me as I also dislike #Jupyter notebooks and prefer the "see all and be reproducible" style of #RMarkdown and #Quarto. Why F1 to see keyboard shortcuts. Why clunky Path/URL navigation?

"#Geospatial #Python - Full Course for Beginners with #Geopandas"

https://www.youtube.com/watch?v=0mWgVVH_dos

#python is an interpreted language. The Python interpreter runs a program by executing one statement at a time. The standard interactive Python interpreter can be invoked on the command line with the python command

data analysis or scientific computing make use of IPython, an enhanced Python interpreter, or #jupyter notebooks, web-based code notebooks originally created within the IPython project.

It is my first time dealing with Jupyter notebooks (for uni) and I am liking them a lot.

I get why every non-coputertoucher scientist uses them. It is also basically literate programming, which is cool.

OTOH, I hate dealing with Python. Absolute hell, I am about to boot a fucking container just to blast it into the Sun once I'm done.