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Streamlit for Data Science

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

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781803248226
Length 300 pages
Edition 2nd Edition
Languages
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Author (1):
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Tyler Richards Tyler Richards
Author Profile Icon Tyler Richards
Tyler Richards
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Table of Contents (15) Chapters Close

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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