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

Deploying Streamlit with Heroku

Heroku is slightly faster and simpler than AWS, and more cumbersome than Streamlit Sharing. But if you have run out of your Streamlit Sharing repositories, or need some more compute than Sharing has to offer but require fewer configuration options than the infinite ones provided by AWS, then Heroku is the place for you. One other win is that you can get custom URLs for your apps with Heroku, which Streamlit Sharing does not support (yet!). To deploy our Streamlit apps on Heroku, we need to do the following:

  1. Set up and log in to Heroku.
  2. Clone and configure our local repository.
  3. Deploy to Heroku.

Let's look at each of these steps in detail!

Setting up and logging in to Heroku

In the Technical requirements section of this chapter, we covered how to download Heroku and create an account. Now, we need to log in to our Heroku from our command line by running the following command and logging in when prompted:

heroku login...