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Streamlit for Data Science

You're reading from Streamlit for Data Science Create interactive data apps in Python

Product type Paperback

Published in Sep 2023

Publisher Packt

ISBN-13 9781803248226

Length 300 pages

Edition 2nd Edition

Languages

Python

Tools

Streamlit

Concepts

Data Science

Author (1):

Tyler Richards

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Table of Contents (15) Chapters

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

Acknowledgment

This book would not have been possible without the help of my technical reviewer, Chanin Nantasenamat. You can find him on X/Twitter at https://twitter.com/thedataprof and on YouTube at https://www.youtube.com/dataprofessor. All mistakes are mine, but all prevented ones are his!

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Authors (1)

Tyler Richards

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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