Book Image

Getting Started with Streamlit for Data Science

By : Tyler Richards
Book Image

Getting Started with Streamlit for Data Science

By: Tyler Richards

Overview of this book

Streamlit shortens the development time for the creation of data-focused web applications, allowing data scientists to create web app prototypes using Python in hours instead of days. Getting Started with Streamlit for Data Science takes a hands-on approach to helping you learn the tips and tricks that will have you up and running with Streamlit in no time. You'll start with the fundamentals of Streamlit by creating a basic app and gradually build on the foundation by producing high-quality graphics with data visualization and testing machine learning models. As you advance through the chapters, you’ll walk through practical examples of both personal data projects and work-related data-focused web applications, and get to grips with more challenging topics such as using Streamlit Components, beautifying your apps, and quick deployment of your new apps. By the end of this book, you’ll be able to create dynamic web apps in Streamlit quickly and effortlessly using the power of Python.
Table of Contents (17 chapters)
Section 1: Creating Basic Streamlit Applications
Section 2: Advanced Streamlit Applications
Section 3: Streamlit Use Cases

User authentication with Streamlit

One feature currently in beta on Streamlit for Teams but with an expected release date of late 2021 is Google-based single sign-on (SSO) authentication for our applications. This will allow us to make our app totally private, only viewable by users that we put on an allow list. The first step we need to take is to link our own Google account, by heading over to and clicking on Settings in the top-right corner. Once we are there, we will see the screen shown in the next screenshot:  

Figure 11.5 – Linking Google accounts

We can now click the blue Connect button and then sign in to our Google account. Once that is finished, we need to head over to our main page at and figure out which app we want to restrict traffic to: 

Figure 11.6 – Streamlit sharing options

In this case, I want to limit the reach of the second app,...