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

Technical requirements

The following is a list of software and hardware installations that are required for this chapter:

  • streamlit-lottie: To download this library, run the following code in your Terminal:
    pip install streamlit-lottie

    Interestingly, streamlit-lottie uses the lottie open source library, which allows us to add web-native animations (such as a GIF) to our Streamlit apps. Frankly, it is a wonderful library that you can use to beautify Streamlit apps and was created by Andy Fanilo, a prolific Streamlit app creator. 

  • The job application example folder: The central repository for this book can be found at Within this repository, the job_application_example folder will contain some of the files that you will need for the second section of the chapter, covering job applications. If you do not have this main repository downloaded already, use the following code in your Terminal...