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

A quick primer on GitHub

GitHub, and the language Git, are collaboration tools for software engineers and data scientists that provide a framework for version control. We do not need to know everything about how they work to use Streamlit Sharing, but we do need to be able to create our own repositories (which act like shared folders) and update them as we update our applications. There are two options for dealing with Git and GitHub, via the command line and via a product called GitHub Desktop. Primarily in this book, so far, we have stayed on the command line, and this tutorial will stick there. However, if you would like to use GitHub Desktop instead, head over to and follow along with the instructions provided there. 

Now, use the following steps to get started with Git and GitHub on the command line:

  1. First, go to and make a free account there.
  2. Then, we need to download the language Git onto our own computer...