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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

Technical requirements

Before we can work with new Streamlit Components, we need to download them first. We can download each using pip (or any other package manager), just as we did with Streamlit in Chapter 1, An Introduction to Streamlit. These are the components to be downloaded:

  • streamlit-embedcode: To download this library, run the following code in your terminal: 
    pip install streamlit-embedcode

    streamlit-embedcode makes it easy to import code blocks from other locations (such as a GitHub gist) and show them directly in your apps, and was created by Randy Zwitch, a Streamlit employee. 

  • streamlit-lottie: To download this library, run the following code in your terminal:
    pip install streamlit-lottie

    streamlit-lottie uses the lottie open source library to allow us to add web-native animations (such as a Graphics Interchange Format (GIF) file) into our Streamlit apps. It is frankly a wonderful library for beautifying Streamlit apps and was created by Andy...

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