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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

Arnaud Miribel and Zachary Blackwood

Tyler: Hey Zachary and Arnaud! First, do you each want to tell everyone a bit about yourself?

Zachary: As you mentioned, I’m Zachary Blackwood. I started off as a teacher and then when that wouldn’t pay the bills, I switched to web development and then got sucked into the data team there because they were using Python, and that sounded like fun.

I was with a little AG tech startup that got acquired by a larger organization, where I learned a lot about infrastructure and data engineering. While I was there, I built various dashboards for the data science team, and we tried out several different frameworks. A friend of mine showed me Streamlit, and this may be me getting ahead of myself, but I loved it.

Later, the same friend told me that he had a friend who worked at Streamlit and was looking for a data engineer. I immediately applied, and here I am! Now, I work on the data team at Streamlit.

Arnaud: Hey everyone, I...

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