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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

This concludes Chapter 9, Connecting to Databases. In this chapter, we learned a whole host of things, from connecting to Snowflake and BigQuery data in Streamlit to how to cache our queries and our database connections, saving us money and improving the user experience. In the next chapter, we will focus on improving job applications in Streamlit.

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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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