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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

Streamlit Power Users

Welcome to the final chapter of this book! In this chapter, we will learn from the best – Streamlit creators with experience creating dozens of apps and Components, Streamlit power users turned Streamlit employees, and even the founder of the Streamlit library who now runs the company from within Snowflake. I sat down and interviewed six different users and learned about their backgrounds, their experience with Streamlit, and what tips they have for users of all experience levels. From these interviews, we will learn how they use Streamlit on a day-to-day basis at work, for teaching, and also about where Streamlit is going from here.

This chapter is grouped into five interviews:

  • Fanilo Andrianasolo, Streamlit creator and tech lead at Worldline
  • Adrien Treuille, the Streamlit founder and CEO
  • Gerard Bentley, a Streamlit creator and software engineer
  • Arnaud Miribel and Zachary Blackwood, Streamlit data team members
  • Yuichiro...
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