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Getting Started with Streamlit for Data Science

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

View More author details

Table of Contents (17) Chapters

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

For this chapter, we will be working with a new dataset that can be found at https://github.com/tylerjrichards/streamlit_apps/blob/main/trees_app/trees.csv. A further explanation of the dataset can be found in the following section.

The rest of the chapter is locked

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Authors (1)

Tyler Richards

Tyler Richards

Tyler Richards is a senior data scientist at Snowflake, working on a variety of Streamlit-related projects. Before this, he worked on integrity as a data scientist for Meta and non-profits like Protect Democracy. While at Facebook, he launched the first version of this book and subsequently started working at Streamlit, which was acquired by Snowflake early in 2022.

See other products by Tyler Richards

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