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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

In this chapter, we’ve learned how to get started with Git and GitHub on the command line, how to debug apps on Streamlit Community Cloud, how to use Streamlit Secrets to use private data on public apps, and how to deploy our apps quickly using Streamlit Community Cloud. This completes part one of this book! Congratulations on making it to this point. The next section will use all of part one as a building block for more advanced topics, such as more complicated formatting and beautification of our Streamlit apps and using valuable open-source community-built add-ons called Streamlit Components.

In the next chapter, we will cover beautifying Streamlit apps through themes, columns, and many more features.

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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