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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

Technical requirements

This chapter requires access to Streamlit Community Cloud, which you can get access to by signing up for an account for free at https://share.streamlit.io/signup.

This chapter also requires a free GitHub account, which can be attained at https://www.github.com. A full primer on GitHub, along with detailed setup instructions, can be found in the section A quick primer on GitHub later in this chapter.

The code for this chapter can be found in the following GitHub repository: https://github.com/tylerjrichards/Streamlit-for-Data-Science.

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