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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

A quick primer on GitHub

GitHub and the language Git are collaboration tools for software engineers and data scientists that provide a framework for version control. We do not need to know everything about how they work to use Streamlit Community Cloud, but we need to be able to create our own repositories (which act like shared folders) and update them as we update our applications. There are two options for dealing with Git and GitHub: via the command line and via a product called GitHub Desktop.

Primarily in this book, so far, we have stayed on the command line, and this tutorial will stay there. However, if you would like to use GitHub Desktop instead, head over to https://desktop.github.com and follow along with the instructions provided there.

Now, use the following steps to get started with Git and GitHub on the command line:

  1. First, go to https://www.github.com and make a free account there.
  2. Then, we need to download the Git language onto our own...
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