August 2021
Beginner
282 pages
5h 36m
English
Content preview from Getting Started with Streamlit for Data Science
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Chapter 10: The Data Project – Prototyping Projects in Streamlit
In the previous chapter, we discussed how to create Streamlit applications that are specific to job applications. Another fun application of Streamlit is to try out new and interesting data science ideas and create interactive apps for others. Some examples of this include applying a new machine learning model to an existing dataset, carrying out an analysis on some data uploaded by users, or creating an interactive analysis on a private dataset. There are numerous reasons for making a project like this, such as personal education or community contribution.
In terms of personal education, often, the best way to learn a new topic is to observe how it actually works by applying ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.