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Streamlit for Data Science - Second Edition

You're reading from Streamlit for Data Science - Second Edition

Product type Book

Published in Sep 2023

Publisher Packt

ISBN-13 9781803248226

Pages 300 pages

Edition 2nd Edition

Languages

Concepts

Author (1):

Tyler Richards

Table of Contents (15) Chapters

Preface

An Introduction to Streamlit

Uploading, Downloading, and Manipulating Data

Data Visualization

Machine Learning and AI with Streamlit

Deploying Streamlit with Streamlit Community Cloud

Beautifying Streamlit Apps

Exploring Streamlit Components

Deploying Streamlit Apps with Hugging Face and Heroku

Connecting to Databases

Improving Job Applications with Streamlit

The Data Project – Prototyping Projects in Streamlit

Streamlit Power Users

Other Books You May Enjoy

Index

Summary

At this point, I hope you feel very comfortable downloading and using Streamlit Components, which you have learned about here, as well as comfortable with finding new Streamlit components created by the community. You should really understand how to find, download, and use Streamlit components to bolster the apps that you build.

In the next chapter, we will dive more deeply into deploying your own Streamlit apps with a cloud provider such as Amazon Web Services (AWS), or other services like HuggingFace!

The rest of the chapter is locked

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Authors (1)

Tyler Richards

Tyler Richards is a senior data scientist at Snowflake, working on a variety of Streamlit-related projects. Before this, he worked on integrity as a data scientist for Meta and non-profits like Protect Democracy. While at Facebook, he launched the first version of this book and subsequently started working at Streamlit, which was acquired by Snowflake early in 2022.

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