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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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Toc

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

Deploying Streamlit with Heroku

Heroku is slightly faster and simpler than AWS, and more cumbersome than Streamlit Sharing. But if you have run out of your Streamlit Sharing repositories, or need some more compute than Sharing has to offer but require fewer configuration options than the infinite ones provided by AWS, then Heroku is the place for you. One other win is that you can get custom URLs for your apps with Heroku, which Streamlit Sharing does not support (yet!). To deploy our Streamlit apps on Heroku, we need to do the following:

  1. Set up and log in to Heroku.
  2. Clone and configure our local repository.
  3. Deploy to Heroku.

Let's look at each of these steps in detail!

Setting up and logging in to Heroku

In the Technical requirements section of this chapter, we covered how to download Heroku and create an account. Now, we need to log in to our Heroku from our command line by running the following command and logging in when prompted:

heroku login...
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