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Streamlit for Data Science - Second Edition

You're reading from Streamlit for Data Science - Second Edition

Product type Book

Published in Sep 2023

Publisher Packt

ISBN-13 9781803248226

Pages 300 pages

Edition 2nd Edition

Languages

Concepts

Author (1):

Tyler Richards

Table of Contents (15) Chapters

Preface

1. An Introduction to Streamlit

2. Uploading, Downloading, and Manipulating Data

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

Finding more Components

These Components are a tiny percentage of all the Components the Streamlit community has created, and by the time you may be reading this, I am sure the number of Components out there will be dramatically higher. The best place to find new and interesting Components is on either the Streamlit website at https://streamlit.io/gallery?type=components&category=featured or the discussion forums at https://discuss.streamlit.io/c/streamlit-components/18.

When you find a Component that you think is interesting, try it out by downloading it with pip as we did earlier, and read enough documentation to get started!

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Authors (1)

Tyler Richards

Tyler Richards is a senior data scientist at Snowflake, working on a variety of Streamlit-related projects. Before this, he worked on integrity as a data scientist for Meta and non-profits like Protect Democracy. While at Facebook, he launched the first version of this book and subsequently started working at Streamlit, which was acquired by Snowflake early in 2022.

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