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

Summary

This concludes Chapter 12, Streamlit Power Users, and also the book! We covered so much deep content in this chapter, from talking about the importance of community development with Fanilo to some practical examples of popular applications with Johannes, and even discussing the toy-like features of Streamlit and where Streamlit is heading next with Adrien. We got a brief history lesson of where Streamlit has come from over the past couple of years (2019 and 2020), heard about the SEO ecosystem from Charly, and learned tips and tricks along the way. Some of my favorite tips are to join and post on the forums from Fanilo, to put Streamlit apps online that you think would be interesting from Johannes, and to lean in to the toy-like aspects of Streamlit from Adrien. 

I just want to say thank you for reading this book; it has been a labor of love for me and I would like nothing better than for you to reach out to me and let me know how it has affected your Streamlit developer...