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

Iterative improvement

So far, we have been almost purely in production mode with this app. Iterative improvement is all about editing the work we have already done and organizing it in a way that makes the app more usable and, frankly, nicer to look at. There are a few improvements that we can shoot for here:

  • Beautification via animation
  • Organization using columns and width
  • Narrative building through text and additional statistics

Let's start by using animations to make our apps a bit prettier!

Beautification via animation

In Chapter 7, Exploring Streamlit Components, we explored the use of various Streamlit components: one of these was a component called streamlit-lottie, which gives us the ability to add animation to our Streamlit applications. We can improve our current app by adding an animation to the top of our current Streamlit app using the following code. If you want to learn more about Streamlit components, please head back over to Chapter...