How to Build, Deploy, & Share a Python Application in 20 minutes! (Using Shiny)

This is a quick-start guide to Shiny for Python. It's part 1 of a multi-part series.
Data scientists need to quickly build web applications to create and share interactive visualizations, giving others a way to interact with data and analytics. Shiny helps you do this.

In this video, we'll walk you through the basics of setting up Shiny for Python, creating your first app, and deploying it so others can use it. We'll cover:
- Installing Shiny and necessary dependencies
- Writing and running your first Shiny app
- Basic UI and server structure
- Deploying your app online
- Helpful Links

Stay tuned for part 2, where we'll dive deeper into advanced features and customization options.

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Video Timeline!
0:00 - Intro to Shiny & Video Overview
1:43 - Getting Started with the Shinylive Playground
2:44 - Building a custom visualization with Shinylive
5:18 - Easily sharing the code/application for a Shinylive app
6:12 - Building a Shiny Express App locally (VSCode)
9:40 - How to run app if you're not using VSCode
10:17 - Further customization of our app (adding title, using CSV data, dynamic input)
17:15 - Deploying our Shiny app to the web
21:20 - Conclusion & what's coming next in the series

Video by @KeithGalli

All videos in the series:

[jzx_kiwi]

Thank you for being the start of my inspiration ... shall follow your series

[emmanuelherrera]

¿Do you have any idea if you can write R and Python in the same script and then deploy the app?

[rtheodoro]

Can you share the final code? In the github there are just the data file. I would like to see how you organize the code.

[sdoken]

wait, i don't have to switch to r to use shiny? does it have all the features that shiny has in r?

[ambhat]

Wonder if Posit is basically for R or for python

[awprc]

Very different thumbnail than Posit usually puts out. More immature vibe. Looks like they are trying to appeal to the 19 yr old data science student who is taking a break from watching Mr Beast videos to learn some Shiny for a homework assignment.