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Getting Started with Streamlit for Data Science

You're reading from   Getting Started with Streamlit for Data Science Create and deploy Streamlit web applications from scratch in Python

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Product type Paperback
Published in Aug 2021
Publisher Packt
ISBN-13 9781800565500
Length 282 pages
Edition 1st 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 (17) Chapters Close

Preface 1. Section 1: Creating Basic Streamlit Applications
2. Chapter 1: An Introduction to Streamlit FREE CHAPTER 3. Chapter 2: Uploading, Downloading, and Manipulating Data 4. Chapter 3: Data Visualization 5. Chapter 4: Using Machine Learning with Streamlit 6. Chapter 5: Deploying Streamlit with Streamlit Sharing 7. Section 2: Advanced Streamlit Applications
8. Chapter 6: Beautifying Streamlit Apps 9. Chapter 7: Exploring Streamlit Components 10. Chapter 8: Deploying Streamlit Apps with Heroku and AWS 11. Section 3: Streamlit Use Cases
12. Chapter 9: Improving Job Applications with Streamlit 13. Chapter 10: The Data Project – Prototyping Projects in Streamlit 14. Chapter 11: Using Streamlit for Teams 15. Chapter 12: Streamlit Power Users 16. Other Books You May Enjoy

Creating and deploying apps from private repositories

One great feature of the Streamlit for Teams product is the ability to use Streamlit Sharing from private GitHub repositories. This works exactly the same as how we learned in Chapter 5, Deploying Streamlit with Streamlit Sharing, but from a private rather than a public repository. To make this change, you will need to have access to Streamlit Teams or get access from the Streamlit team (they might just let you try it out if you ask nicely!). 

To create a private GitHub repo, head over to https://github.com/new and make sure to click the Private rather than Public option, as shown in the next screenshot: 

Figure 11.4 – Private repository on GitHub

And after we add our current code to our GitHub repository, we can deploy on Streamlit Sharing just as we normally would, by going over to https://share.streamlit.io and following the directions for one-click deployment. I have deployed this...

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