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)
1
Section 1: Creating Basic Streamlit Applications
7
Section 2: Advanced Streamlit Applications
11
Section 3: Streamlit Use Cases

Technical requirements

Here is a list of installments required for this chapter:

  • Heroku account: Heroku is a popular platform that data scientists and software engineers use to host their applications, models, and APIs (application programming interfaces), and is owned by Salesforce. To get a Heroku account, please head over to https://signup.heroku.com to make your free account. 
  • Heroku Command-Line Interface (CLI): To use Heroku effectively, we will need to download the Heroku CLI, which will allow us to run Heroku commands. To download this, please follow the instructions listed here: https://devcenter.heroku.com/articles/heroku-cli
  • Amazon Web Services (AWS) account: Before we can use AWS, we first need to sign up for our own Amazon account, which you can do at https://aws.amazon.com/free. Thankfully, there is a generous free tier available for students with .edu accounts, for start-up founders and entrepreneurs, and also for non-profits. Once you do...