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.
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 !
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://github.com/Guillawme/chimerax-viz
"Quick copy a DOI" for #Zotero: https://github.com/Guillawme/zotero-doi-link-quickcopy
A #Plutojl notebook to do non-linear curve fitting in #Julia: https://github.com/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://github.com/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.
@massa mas para análise exploratória de dados, eu uso o #jupyterlab ou o #Plutojl
O pluto é totalmente reativo. Ideal para simulações.
Pra coisas mais básicas eu uso o jupyter mesmo. O vscode só pra desenvolver pacotes.
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
The #PlutoJL notebook we use in our IntroML workshops to introduce concepts in supervised learning, from linear regression all the way to neural networks, is now fully interactive in the browser! Try it out here: https://mlcolab.github.io/IntroML.jl/stable/supervised_learning.html #JuliaLang
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"). 😂
"Pluto making scientific computing accessible and fun"
The Inspiring Computing podcast (at https://www.inspiringcomputing.com) this week is about Pluto notebooks, and we hear from Fons and Gerhard about the history and philosophy of Pluto and a sneak preview of what's to come in the future.
#julia #julialang #julialanguage #inspiringcomputing #pluto #plutojl #plutonian #podcast
Introdução ao machine learning e ao neurônio usando um simulador, onde você consegue ver como o modelo funciona. É possível setar os parâmetros da sigmóide, e acompanhar no gráfico como o modelo aprende. Programado com #julialang e #plutojl .
Nice!
Pluto.jl, the reactive notebook library for Julia, has a new shiny web page.
I just pushed out the #newversion of #plutoreport_jl , a way to make awesome reports and talks in #Plutojl and #julialang!
The new version allows you to modify the inline #citation style and content post facto. Think using `--csl` in #pandoc. Now, CSS fixes are opt out! Some tiny UI fixes also featured.
PlutoReport.jl is now also on #zenodo - 10.5281/zenodo.7378474
Check it out at https://github.com/DhruvaSambrani/PlutoReport.jl
I just pushed a new version (0.3.0) of #plutoreport_jl , a package to make reports and talk presentations in #Plutojl #notebooks in #julialang ! Go check it out here - https://github.com/DhruvaSambrani/PlutoReport.jl
Holy fuck I love #Plutojl! Such low effort to make absolutely breathtaking #website/ #notebook / #Scientific_Reports . That with Plots.jl and PrettyTables.jl is all you need to go crazy!
See example - https://dhruvasambrani.github.io/phy412/l1.html
This is one of the reasons I love to #code in #Julia! And also the fact that I don't need to write for loops 😂
Mi primer solicitud para que agreguen un template a #gitlab
para el generador de html estático de las notebooks interactivas de #PlutoJL en #JuliaLanguage
https://gitlab.com/pages/pages.gitlab.io/-/issues/87
My first issue to add a template on #gitlab pages is for the static html generator of #PlutoJL
an #julialanguage
https://gitlab.com/pages/pages.gitlab.io/-/issues/87
Cosas por las que amo las noteboks interactivas @PlutoJL
Puedo usarlas par enseñar
Puedo usarlas para aprender
Funcionan de maravillas
Me hacen estar acá a las 11 de un viernes con ganas de programar
#julialang
#Plutojl