You're reading from Getting Started with Streamlit for Data Science Create and deploy Streamlit web applications from scratch in Python

Product type Paperback

Published in Aug 2021

Publisher Packt

ISBN-13 9781800565500

Length 282 pages

Edition 1st Edition

Languages

Python

Tools

Streamlit

Concepts

Data Science

Author (1):

Tyler Richards

Preface

1. Section 1: Creating Basic Streamlit Applications

2. Chapter 1: An Introduction to Streamlit FREE CHAPTER

3. Chapter 2: Uploading, Downloading, and Manipulating Data

4. Chapter 3: Data Visualization

5. Chapter 4: Using Machine Learning with Streamlit

6. Chapter 5: Deploying Streamlit with Streamlit Sharing

7. Section 2: Advanced Streamlit Applications

8. Chapter 6: Beautifying Streamlit Apps

9. Chapter 7: Exploring Streamlit Components

10. Chapter 8: Deploying Streamlit Apps with Heroku and AWS

11. Section 3: Streamlit Use Cases

12. Chapter 9: Improving Job Applications with Streamlit

13. Chapter 10: The Data Project – Prototyping Projects in Streamlit

14. Chapter 11: Using Streamlit for Teams

15. Chapter 12: Streamlit Power Users

16. Other Books You May Enjoy

Technical requirements

Here are the installations and setup required for this chapter:

The requirements for this book are to have Python 3.7 (or later) downloaded (https://www.python.org/downloads/), and have a text editor to edit Python files in. Any text editor will do. I use Sublime (https://www.sublimetext.com/3).
Some sections of this book use GitHub, and a GitHub account is recommended (https://github.com/join). Understanding how to use Git is not necessary for this book but is always useful. If you want to get started, this link has a useful tutorial: https://guides.github.com/activities/hello-world/.
A basic understanding of Python is also very useful for this book. If you are not there yet, feel free to spend some time getting to know Python better using this tutorial (https://docs.python.org/3/tutorial/) or any other of the freely and readily available tutorials out there, and come back here when you are ready. We also need to have the Streamlit library installed, which we will do and test in a later section called Installing Streamlit.