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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

Summary

What a fun chapter! We have learned so much here – from how to come up with data science projects of our own, and how to create initial MVPs, to the iterative improvement of our apps. We did this all through the lens of our Goodreads dataset, and we took this app from just an idea to a fully functioning app hosted on Streamlit Community Cloud. I look forward to seeing all the different types of Streamlit apps that you create. Please create something fun and send it to me on Twitter at @tylerjrichards. In the next chapter, we will focus on interviews with Streamlit power users and creators to learn tips and tricks, why they use Streamlit so extensively, and also where they think the library will go from here. See you there!

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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.

See other products by Tyler Richards

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