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Streamlit for Data Science

You're reading from Streamlit for Data Science Create interactive data apps in Python

Product type Paperback

Published in Sep 2023

Publisher Packt

ISBN-13 9781803248226

Length 300 pages

Edition 2nd Edition

Languages

Python

Tools

Streamlit

Concepts

Data Science

Author (1):

Tyler Richards

View More author details

Table of Contents (15) Chapters

Preface

1. An Introduction to Streamlit

2. Uploading, Downloading, and Manipulating Data FREE CHAPTER

3. Data Visualization

4. Machine Learning and AI with Streamlit

5. Deploying Streamlit with Streamlit Community Cloud

6. Beautifying Streamlit Apps

7. Exploring Streamlit Components

8. Deploying Streamlit Apps with Hugging Face and Heroku

9. Connecting to Databases

10. Improving Job Applications with Streamlit

11. The Data Project – Prototyping Projects in Streamlit

12. Streamlit Power Users

13. Other Books You May Enjoy

14. Index

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 Components with Arnaud and Zachary, and even discussing the toy-like features of Streamlit and where Streamlit is heading next with Adrien. We learned about serverless Streamlit with Yuichiro and learned about fun new applications of Streamlit with Gerard.

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 experience. You can find me on Twitter at https://twitter.com/tylerjrichards, and I hope you have had as good of a time reading this book as I had writing it. Thank you and go make some awesome Streamlit apps!

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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.

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