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#jupyter
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
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.
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
#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.
Data analysis in Jupyter notebooks with... TypeScript?! 
using `fetch` and other web standards fast dataframes with nodejs-polars easy charts with @observablehq rich interactive UIs with JavaScript
Learn more in this detailed walkthrough 
https://deno.com/blog/exploring-art-with-typescript-and-jupyter
JupyterCon 2025 is happening!
We're excited to host this year's JupyterCon in sunny San Diego, California, from November 3–6, 2025. From its beginnings as IPython in 2001, Project Jupyter has grown to a global scale platform with millions of *.ipynb files on GitHub (not all of which are named Untitled.ipynb!). The Jupyter ecosystem has transformed data science, scientific research, and education and has shaped the way a generation of developers and scientists develop their workflows.
Learn more about JupyterCon 2025 https://bit.ly/jupytercon
Registration https://bit.ly/jconreg
We're seeking proposals for Presentations (Talks), Tutorials, Group Sessions (Workshops, Birds-of-a-Feather, Symposia), and Posters. Topics can include: Data Science; Community; Research and Scientific Discovery; Education; and Jupyter Infrastructure.
Submit your idea today! https://bit.ly/jconcfp
Am vorletzten Wochenende waren wir auf den #clt2025 . Hier ist unser Rückblick.
https://https://www.hostsharing.net/blog/2025/clt-2025/?mtm_campaign=m
Thank you to #Kone & Mai and Tor Nessling Foundations for supporting this work. A quantitative work like this would not be possible without a robust suite of FOSS tools. My thanks to the maintainers of #QGIS, #pandas, #geopandas, #duckdb, #dask, #statsmodels, #jupyter and many more!
Oh Sweet. I just need to transplant any necessary "library" code into my existing #Python script and pack enough functionality into it that I can make a demonstration #Jupyter Notebook for the whole project.
At which point, there exists clean end-user tools - in the form of a library you can import and use in Jupyter or build friendly GUI apps on top of.
All I need is Jupter for now.
.
Pierre-Antoine Bouttier & moi-même parlerons de #Jupyter au Café #Guix du jour. 
https://hpc.guix.info/events/2024-2025/caf%C3%A9-guix/
aujourd’hui 25 mars, 13h
