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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

What a fun chapter! We have learned so much here – from how to come up with data science projects of our own, and how to create initial MVPs, to the iterative improvement of our apps. We did this all through the lens of our Goodreads dataset, and we took this app from just an idea to a fully functioning app hosted on Streamlit Community Cloud. 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 interviews with Streamlit power users and creators to learn tips and tricks, why they use Streamlit so extensively, and also where they think the library will go from here. See you there!

Learn more on Discord

To join the Discord community for this book – where you can share feedback, ask questions to the author, and learn about new releases – follow the QR code below:

https://packt.link/sl

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