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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 1. An Introduction to Streamlit 2. Uploading, Downloading, and Manipulating Data 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

Technical requirements

The following is a list of software and hardware installations that are required for this chapter:

  • Snowflake account: To get a Snowflake account, go to (https://signup.snowflake.com/) and start a free trial.
  • Snowflake Python Connector: The Snowflake Python Connector allows you to run queries from Python. If you installed the requirements for this book, then you already have the library. If not, pip install snowflake-connector-python to get started.
  • BigQuery account: To get a BigQuery account, go to (https://console.cloud.google.com/bigquery) and start a free trial.
  • BigQuery Python Connector: BigQuery also has a Python Connector that works the same way as the Snowflake Python Connector does! It also is in the requirements file that you installed at the beginning of the book, but you can also pip install google-cloud-bigquery if you do not have the library yet.

Now that we have everything set up, let’s begin!

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