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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

Adrien Treuille

Tyler: Hey, Adrien! Good to chat with you again; thanks for agreeing to be interviewed. Do you want to start this off with a quick intro?

Adrien: Yeah! I was the founder and CEO of Streamlit for four and a half, maybe five years and then I became the head of Streamlit inside of Snowflake after the acquisition.

Here we have two main goals, one of which is to build an amazing first-party version of Streamlit into Snowflake, affecting the entire Snowflake product line, and the other is to maintain and run this wonderful open-source project that is growing really quickly and is used all over the world by the world’s biggest companies.

The move from being an independent company to Snowflake has really supercharged and added many dimensions to my job description, which is super exciting.

Tyler: Great, I guess we can jump right in and talk about the acquisition first. That’s the biggest change from our first interview when the first version of...

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