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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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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

Helpful mini-functions with streamlit-extras

I have personally been a part of the Streamlit data product team since the beginning of 2022, and that work unsurprisingly centers around creating Streamlit apps about the business that is Streamlit. The team creates dozens of apps for dozens of business partners, and as a part of that work has created dozens of helper functions that make it more fun and efficient to create Streamlit apps.

Every team has functions like these. At Streamlit, it is encouraged to open-source as much of your work as possible, so we decided to turn these functions into a Python package and release it out to the community.

For example, we had a problem where users of our apps would accidentally just select one date in a date range, and then the entire app would not run correctly. In response to this, we built a mandatory date range picker that will not run the app until two dates are selected! It can be used like this:

from streamlit_extras.mandatory_date_range...
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