Just found that there is now a "reactive Python notebook": https://marimo.io
@marimo_io

Seems inspired by #Plutojl (itself inspired by @observablehq ).

This might begin to reconcile me with Python.

Btw., this Go board (HTML/JavaScript) is the easiest to embed in a webpage that I've ever found.
And not for the lack of searching.
(I just started to dabble with it in a Pluto.jl notebook :-) )

https://github.com/deebloo/go-board

Cool work, @deebloo !

#go #igo #weiqi #baduk #julialang #plutojl

Here are a few things I made and posted publicly in the hope they help others (will leave this pinned on my profile and update when relevant):

Visualizations with #ChimeraX: https://codeberg.org/Guillawme/chimerax-viz

"Quick copy a DOI" for #Zotero: https://codeberg.org/Guillawme/zotero-doi-link-quickcopy

A #Plutojl notebook to do non-linear curve fitting in #Julia: https://codeberg.org/Guillawme/julia-curve-fitting

A dump of slurm scripts, modulefiles and other things I used on different computers and clusters, mostly to do #cryoEM analysis: https://codeberg.org/Guillawme/cryoem-computing

Again, I'm having a hard time with #julialang and #jupyterlab on Windows.

I wanted to follow along the juliaacademy course "Julia for Data Science", but the first tutorial shows how to activate an environment (?) but in the end I have no idea how to reliably work in an already installed JupyterLab, Julia and packages version compatible, and all in a specific environment for this project.
I've been installing and uninstalling Julia 1.6, 1.9 and 1.10, deleting them from PATH, etc.
With Python is not straightforward, but I got it.

I decided I will use #Plutojl and manually recreate all the courses notebooks. For the sake of learning, it's definitely better than just running readymade cells, plus it's in line with the MIT Julia course.

But it doesn't feel right, I feel there's a huge gap in my understanding, and likely a gap in the tutorials too.
Also, spending 2 days without proper coding, just running around bugs, is super frustrating, just feels like time lost forever to no cause.

Guía rápida y fácil para poner compuestos y reacciones químicas usando LaTeX en notebooks (jupyter o pluto.jl) o documentos en markdown para Quarto:

https://mhchem.github.io/MathJax-mhchem/

#química #jupyter #plutojl #quarto #mhchem

So I just wrote a #Plutojl notebook to demonstrate area law entanglement in the 1D quantum Ising chain. I also discuss how this fits into the computational complexity landscape -- turns out not all quantum problems are equal. Also, absolutely thrilled by PlutoSliderServer.jl's WIP feature that compiles Julia code into a static HTML, with precomputed outputs baked right in for each slider position!
#JuliaLang #QuantumComputing #ComplexityTheory

https://volya.xyz/blog/ising/ising_nb.html

In Brazil, when we got overwhelmed with our studies, we would say that we were thinking about dropping out and selling art on the beach.
Well, if you did that, could you optimize your art production?

Check out how to model and solve that using #JuliaLang and #JuMP: https://youtu.be/IOUi1juD5HQ

You can find the #PlutoJL notebook for this code at https://abelsiqueira.com/youtube.

#Julia #orms #optimization #mathematicalprogramming #MathematicalModeling

Coming soon - May 10-12, 2023 - it's JupyterCon2023.

I see that Fons is scheduled to talk about 🎈Pluto.jl 🎈("Simple reactive notebooks for Julia"). 😂

https://www.jupytercon.com

#julialang #julia #plutojl #jupyter #jupytercon #numfocus