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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

Deploying Streamlit with Heroku

Heroku is a Platform as a Service owned by Salesforce, optimized as a generic compute platform that you can use for everything from websites to APIs to Streamlit apps. Because of this, you have many more options with Heroku than with either Streamlit Community Cloud or Hugging Face Spaces, but getting started takes more effort.

Please note that Heroku has no free tier, so if you do not want to follow along (or if you are already happy with Streamlit Community Cloud or Hugging Face Spaces), feel free to just skip to the next chapter! The reason Heroku is included in this book is that I wanted to provide an option that had more capacity, supported the most recent Streamlit versions without much branding, and was easy to use. Heroku is the best platform on those metrics, so I’ll cover it below!

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...
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