Shiny for Python - Talk Python to Me Ep.424

If you want to share your data science results as interactive web apps, you could learn Flask or Django and a bunch of other web technologies. Or, you could pick up one of the powerful frameworks for deploying data science specifically. And if you're searching through that space, you've likely hear of Shiny -- but that's just for the R side of data science, right? Not any longer. Joe Cheng is here to introduce us to the recently released Shiny for Python. And it looks like a very solid new framework on the block.

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This video is the uncut, live recording of the Talk Python To Me podcast ( https://talkpython.fm ). We cover Python-focused topics every week and publish the edited and polished version in audio form. Subscribe in your podcast player of choice (100% free) at https://talkpython.fm/subscribe.

▬▬▬▬ Guests ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

Joe on Twitter:   / jcheng  

▬▬▬▬ Links and resources from the show ▬▬▬▬▬▬▬▬▬▬▬▬

Shiny: https://shiny.posit.co/
Shiny for Python code: https://github.com/rstudio/py-shiny/
Discord community for Shiny:   / discord  
Reactive programming inside Shiny: https://shiny.posit.co/py/docs/reacti...

Shiny Gallery: https://shiny.posit.co/py/gallery/
Examples: https://shinylive.io/py/examples/
Orbital mechanics in Shiny: https://shinylive.io/py/examples/#orb...
Wordle in Shiny: https://shinylive.io/py/examples/#wordle
Keynote introducing Shiny for Python: https://www.youtube.com/embed/HpqLXB_...

Listen this episode on Talk Python: https://talkpython.fm/episodes/show/4...
Episode transcripts: https://talkpython.fm/episodes/transc...

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