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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

Finding more components

These components are a tiny percentage of all the components the Streamlit community has created, and by the time you may be reading this, I am sure the number of components out there will be dramatically higher. The best place to find new and interesting components is on either the Streamlit website at https://streamlit.io/gallery?type=components&category=featured or the discussion forums at https://discuss.streamlit.io/tag/custom-components.

When you find a component that you think is interesting, try it out by downloading it with pip as we did earlier, and read enough documentation to get started!

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