Delve into developing web apps with Streamlit. Gain insights into its components, and discover how to quickly build and deploy accessible apps with minimal code effort.

streamlit.tar.gz

Streamlit Hello World

Streamlit App

In this course, we'll learn to develop web apps using the Streamlit library. With just a few lines of code, we can have our app up and running in no time.

We'll start off with learning about the various components of Streamlit. We then finally build an app that we can deploy and which our users can access.

Develop Web Apps with Streamlit

## Automated chart update
As shown in the previous lesson, we can append data to an existing DataFrame using `add_rows()`. The same is true for charts.

This helps when we have new data streaming in and enables us to update charts with it automatically.


# Automated chart update
As shown in the previous lesson, we can append data to an existing DataFrame using `add_rows()`. The same is true for charts.

This helps when we have new data streaming in and enables us to update charts with it automatically.


Learn to append data to a chart with Streamlit.

First Things First

Display Information with Streamlit

Display Interactive Widgets with Streamlit

Streamlit Layout

Mutate Data with Streamlit

Streamlit Miscellaneous Items

Deploy Streamlit Applications

Assessment

Mutate Chart Data with Streamlit

Automated chart update