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
Shiny for Python Homepage: shiny.posit.co/py/
The link to the final app can be found here: keithgalli.shinyapps.io/final...
Follow along with the code examples provided in this repository: github.com/KeithGalli/shiny-p...
Check out the complete documentation here: shiny.posit.co/py/api/express/
Stay tuned for part 2, where we'll dive deeper into advanced features and customization options.
---
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:
Part 1 - How to Build, Deploy, & Share a Python Application in 20 minutes! (Using Shiny): • How to Build, Deploy, ...
Part 2 - How to make Interactive Python Dashboards! (Reactivity in Shiny): • How to make Interactiv...
Part 3 - How to make your Python Dashboard look Professional! (Layouts in Shiny): • How to make your Pytho...
Part 4 - How to combine Matplotlib, Plotly, Seaborn, & more in a single Python Dashboard! (Shiny for Python): • How to combine Matplot...
Part 5 - How to Perfect Your Python Dashboard with Advanced Styling! (HTML/CSS - Shiny for Python): • How to Perfect Your Py...

[@emmanuelherrera2626]

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

[@moonandastar]

thanks

[@sdoken]

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

[@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.

[@ambhat3953]

Wonder if Posit is basically for R or for python

[@markcorrales982]

both

[@pruthuviishak6750]

R is the origin, now they have added Python also. So all in one data science toolkit 🥳

[@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.