#pyshiny — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #pyshiny, aggregated by home.social.
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{shinyelectron} is on CRAN.
install.packages("shinyelectron")
Turn an R or Python Shiny app into a desktop app your users double-click. macOS, Windows, Linux. One export() call builds the installer.
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{shinyelectron} is on CRAN.
install.packages("shinyelectron")
Turn an R or Python Shiny app into a desktop app your users double-click. macOS, Windows, Linux. One export() call builds the installer.
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73/76. The desktop is coming for your Shiny apps. Or your Shiny apps are coming for the desktop. Hard to tell from in here. Either way, the machines have been at it for an hour and they're almost done.
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73/76. The desktop is coming for your Shiny apps. Or your Shiny apps are coming for the desktop. Hard to tell from in here. Either way, the machines have been at it for an hour and they're almost done.
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Holy (native) Grail update: we cracked open the Shiny temple and ten desktop apps tumbled out. R, Python, native, containerized, shinylive, you name it. One Electron shell, every runtime mode we could dream up, all from one R package.
{shinyelectron}, coming soon to a desktop near you.
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Holy (native) Grail update: we cracked open the Shiny temple and ten desktop apps tumbled out. R, Python, native, containerized, shinylive, you name it. One Electron shell, every runtime mode we could dream up, all from one R package.
{shinyelectron}, coming soon to a desktop near you.
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From app to container in one command: export()
{shinydocker} is a new experimental R package handling Docker containerization for both R & Python Shiny apps. It auto-detects dependencies and app type.
💻 Code: https://github.com/coatless-rpkg/shinydocker
🔗 Post: https://blog.thecoatlessprofessor.com/programming/r/rethinking-shiny-containerization-the-shinydocker-experiment/ -
From app to container in one command: export()
{shinydocker} is a new experimental R package handling Docker containerization for both R & Python Shiny apps. It auto-detects dependencies and app type.
💻 Code: https://github.com/coatless-rpkg/shinydocker
🔗 Post: https://blog.thecoatlessprofessor.com/programming/r/rethinking-shiny-containerization-the-shinydocker-experiment/ -
#ShinyConf is a free, 100% virtual conference about all things
#RShiny & #PyShiny. I always learn something, often something that I didn't know that I didn't know!If you've done something interesting w/Shiny, please submit a #ShinyConf2025 proposal! More details: https://www.shinyconf.com?utm_source=social&utm_medium=mastodon&utm_campaign=shinyconf&utm_content=committee-post
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@kobriendublin For a more concrete example that I think will help illustrate the point, Greg Swinehart's talk about shiny UI improvements focused more on {bslib} + #RShiny, w/ brief mention of the related defaults in #PyShiny. He seemed embarrassed that 1 slide showed the Python version of something because it's not QUITE ready in R (but it will be very very very soon, he assured us). I feel like kast year it would've been all Py with a brief mention that maybe it'll be in bslib eventually.
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Time for the Innovating with #RShiny (and #PyShiny, I assume) track!
First: Wait, that’s Shiny? Building feature-full, user-friendly interactive data explorers with Shiny and friends - Kiegan Rice
#PositConf2024 #RStats #PyData 🧵 1/14
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I'm hosting a workshop at Posit::conf(2024) with Garrett Grolemund. Join us for an "Intro to Shiny for Python" in Seattle on Aug 12.
This course is for you if you are:
- A #Python programmer interested in quickly building efficient web applications
- An educator interested in integration #shiny apps into your python course
- An R programmer interested in building Shiny apps in Python -
We're launching a new club to read Probabilistic Machine Learning (https://probml.github.io/pml-book/book1.html) together! Join us at https://dslc.io/join to let us know what days/times would work for you! #PyData
We're also launching a new hybrid :rstats: / :python: Mastering #RShiny / #PyShiny cohort soon! #NotJustR4DS
Clubs today:
:rstats: Web APIs with R (https://dslc.io/wapir) -
Please visit https://r4ds.io/donate.html before March 15 to help us make sure that our learners can continue to learn together!
🧵11/11
#RStats #PyData #JuliaLang #DataScience #DataViz #RShiny #PyShiny -
We host weekly video book clubs in which small, organized cohorts of learners read and discuss data-related books and websites. New groups begin in April! Visit https://r4ds.io for details!
🧵1/11
#RStats #PyData #JuliaLang #DataScience #DataViz #RShiny #PyShiny -
If you like creating interactive web apps using shiny for #rstats, please send your #python friends to the TalkPython podcast, where Joe Cheng discusses Shiny for Python. #PyShiny. Via @Gshotwell
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CW: project; Shiny for python
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CW: project; Shiny for python
Starting a Shiny for Python app:
https://github.com/ngiangre/mccvshinySo far, 1) Posit's documentation is very well written, 2) I really like VS Code as an IDE, 3)python3 -m pip install vs pip install, 4) python decorators are a simpler alternative to renderText() etc., 5) This is going to be a fun summer project!
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Had a quick play with Shiny for Python #PyShiny to create simple web pages using just Python. It's pretty cool!
A very basic example can be found here: https://github.com/martinpeck/shiny-for-python-playpen