This is a quickstart guide to Shiny for Python. It's part 1 of a multipart 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: https://shiny.posit.co/py/

The link to the final app can be found here: https://keithgalli.shinyapps.io/final...

Follow along with the code examples provided in this repository: https://github.com/KeithGalli/shinyp...

Check out the complete documentation here: https://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, & Share a Pytho...  
Part 2 How to make Interactive Python Dashboards! (Reactivity in Shiny):    • How to make Interactive Python Dashbo...  
Part 3 How to make your Python Dashboard look Professional! (Layouts in Shiny):    • How to make your Python Dashboard loo...  
Part 4 How to combine Matplotlib, Plotly, Seaborn, & more in a single Python Dashboard! (Shiny for Python):    • How to combine Matplotlib, Plotly, Se...  
Part 5 How to Perfect Your Python Dashboard with Advanced Styling! (HTML/CSS Shiny for Python):    • How to Perfect Your Python Dashboard ...