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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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Toc

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

Fanilo Andrianasolo

Tyler: Hey, Fanilo! I just wanted to go ahead and get started; do you want to introduce yourself to everyone? What is your background? What do you spend your time working on these days?

Fanilo: Hey everyone, my name is Fanilo. I’ve been working at WorldLine for the past 10 years, first as a big data engineer then going into business development, then into product management, and then back to managing data science teams. And now I work as more of a developer advocate, for data science and business intelligence internally and externally.

It’s mostly talking to internal teams about how they can leverage data analytics in their payment products and then doing talks externally to promote our data analysis and data science skills.

And then on the side, I’m also a lecturer at a university. I give lectures about big data and SQL. I do demonstrations using Streamlit for lectures.

Finally, I also do a bit of content creation, mostly...

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