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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

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 Sharing, but we do 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 stick 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 language Git onto our own computer...
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