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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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Toc

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

Collecting and cleaning data

There are two ways in which to get data from Goodreads: through its Application Programming Interface (API), which allows developers to programmatically access data about books, and through its manual exporting function. Sadly, Goodreads is deprecating its API in the near future and, as of December 2020, does not give access to new developers.

The original Goodreads app uses the API, but our version will rely on the manual exporting function that the Goodreads website has instead. To get your data, head over to https://www.goodreads.com/review/import and download your own data. If you do not have a Goodreads account, feel free to use my personal data for this, which can be found at https://github.com/tylerjrichards/goodreads_book_demo. I have saved my Goodreads data in a file, called goodreads_history.csv, in a new folder, called streamlit_goodreads_book. To make your own folder with the appropriate setup, run the following in your terminal:

mkdir...
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