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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
Author (1):
Tyler Richards Tyler Richards
Profile icon 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

Connecting to BigQuery with Streamlit

The first step to getting BigQuery connected to your Streamlit app is to gather the authentication information necessary from BigQuery. There is a wonderful Quickstart doc that Google keeps (and maintains!) that you should follow, which can be found here: https://cloud.google.com/bigquery/docs/quickstarts/quickstart-client-libraries. This link will help you sign up for a free account, and create a project. After you create your project, you need to create a service account (https://console.cloud.google.com/apis/credentials) and download the credentials as a JSON file. Once you have this file, you have all the data needed and can return to this chapter.

For this section, we will create a new file in our database_example folder called bigquery_app.py, and we will add a new section to the secrets.toml file we already created. First, we can add to the secrets.toml file and finally, let you create and view your service account credentials using...

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