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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

Summary

In this chapter, we started by learning how to organize our files and folders for the remainder of this book and quickly moved on to instructions for downloading Streamlit. We then built our first Streamlit application, Hello World, and learned how to run our Streamlit applications locally. Then, we started building out a more complicated application to show the implications of the central limit theorem from the ground up, going from a simple histogram to accepting user input and formatting different types of text within our app for clarity and beautification.

By now, you should be comfortable with subjects such as basic data visualization, editing Streamlit apps in a text editor, and locally running Streamlit apps. We’re going to dive more deeply into data manipulation in our next chapter.

Learn more on Discord

To join the Discord community for this book – where you can share feedback, ask questions to the author, and learn about new releases – follow the QR code below:

https://packt.link/sl

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