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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

Yuichiro Tachibana

Tyler: Hey, Yuichiro, so great to do this with you! Do you want to get started by introducing yourself to everyone? Talk a bit about your background.

Yuichiro: OK, so I am Yuichiro Tachibana and I am currently in Japan. I’m also a member of the Streamlit Creators program and am developing and maintaining some Streamlit libraries. My personal OSS projects are hosted on GitHub!

As far as my background, I studied computer vision and applications of machine learning at my university. I worked with people who built robots, and software was necessary to help build robotic intelligence, especially in computer vision. This is why my knowledge of computer vision and machine learning is more practical than theoretical.

After that, I took a year off from university and started my own personal project with some financial support from the Japanese government where I built a deep learning accelerator based on a Field-Programmable Gate Array (FPGA). I used very...

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