Chapter 1: An Introduction to Streamlit
Streamlit is a web application framework that helps you build and develop Python-based web applications that can be used to share analytics results, build complex interactive experiences, and illustrate new machine learning models. On top of that, developing and deploying Streamlit apps is incredibly fast and flexible, often turning application development time from days into hours.
In this chapter, we 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. 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. At the end of this chapter, you should be comfortable starting to make your own Streamlit applications!
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.
