[Online] Shiny, a powerful & flexible tool to create a Python web app

## How to join the webinar:

NOTE: You can join via your browser (no app download required). Use Chrome or Firefox.
Pre-register for the webinar:
https://www.bigmarker.com/neo4j/Data-Umbrella-Webinar

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Video Recording
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This event will be recorded and placed on our YouTube. We usually have it up within 24 hours of the event. Subscribe to our YouTube and set your notifications:
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Time
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16:00 UTC
9 am PT / 12 pm ET / 7 pm EAT / 9:30 pm IST

## Speaker

Gordon Shotwell

## Talk Level

Beginner

## Pre-reqs

Beginner knowledge of Python, Streamlit knowledge is helpful but not required.

## Prep Work

None

## Resources

https://shiny.rstudio.com/py/

## Event

Shiny makes it easy to build interactive web applications with the power of Python’s data and scientific stack.
If you want to develop a python web application you usually need to choose between simple, limited frameworks like Streamlit and more extensible frameworks like Dash. This can cause a lot of problems if you get started with a simple framework but then discover that you need to refactor your application to accommodate the next user request. Shiny for Python differs from other frameworks because it has tremendous range. You can build a small application in a few minutes with the confidence that the framework can handle much more complex problems. In this workshop we will go through the core limitations of Streamlit, and build a Shiny app which avoids those limitations.

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