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

# The need for mutation
In data work, occasions might arise when we’ve collected some data but realize we require more after processing has begun. This would probably require generating a new DataFrame that combines the old and new data.

Fortunately, Streamlit provides a way to append data to an existing DataFrame. The `add_rows()` method allows us to do this through a process called **mutation**.

Learn to append data to a DataFrame 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

Build a Data-centric Web App Using Streamlit

Assessment

Mutate Tabular Data with Streamlit

The need for mutation