An Introduction to Streamlit
Streamlit is the fastest way to make data apps. It is an open-source Python library that helps you build web applications to be used for sharing analytical results, building complex interactive experiences, and iterating on top of new machine learning models. On top of that, developing and deploying Streamlit apps is incredibly fast and flexible, often reducing the application development time from days to hours.
In this chapter, we will start out with the Streamlit basics. We will learn how to download and run demo Streamlit apps, how to edit demo apps using our own text editor, how to organize our Streamlit apps, and finally, how to make our very own apps. Then, we will explore the basics of data visualization in Streamlit. We will learn how to accept some initial user input, and then add some finishing touches to our own apps with text. By the end of this chapter, you should be comfortable with starting to make your own Streamlit apps!
In particular, we will cover the following topics:
- Why Streamlit?
- Installing Streamlit
- Organizing Streamlit apps
- Streamlit plotting demo
- Making an app from scratch
Before we begin, we will start with the technical requirements to make sure we have everything we need to get started.
