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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

Summary

What a fun chapter! We have learned so much here – from how to come up with data science projects of our own to how to create initial MVPs, to the iterative improvement of our apps. We have done this all through the lens of our Goodreads dataset, and we have taken this app from just an idea to a fully functioning app hosted on Streamlit Sharing. I look forward to seeing all the different types of Streamlit apps that you create. Please create something fun and send it to me on Twitter at @tylerjrichards. In the next chapter, we will focus on learning how to use Streamlit at work with the new Streamlit product, Streamlit for Teams. See you there!

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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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