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Beginner's Guide to Streamlit with Python: Build Web-Based Data and Machine Learning Applications
book

Beginner's Guide to Streamlit with Python: Build Web-Based Data and Machine Learning Applications

by Sujay Raghavendra
December 2022
Beginner to intermediate content levelBeginner to intermediate
215 pages
3h 2m
English
Apress
Content preview from Beginner's Guide to Streamlit with Python: Build Web-Based Data and Machine Learning Applications
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2023
S. RaghavendraBeginner's Guide to Streamlit with Python https://doi.org/10.1007/978-1-4842-8983-9_2

2. Text and Table Elements

Sujay Raghavendra1  
(1)
Dharwad, Karnataka, India
 

In the first chapter, you gained a complete overview of Streamlit’s core features and how it is different from its competitors in the data science and machine learning domain. We also discussed the installation steps that are necessary on various platforms and created our very own Streamlit application.

In this chapter, we will discuss not only on how we can format text in different ways, such as using Markdown, captions, blocks of code, and LaTeX, but also how to add title, headers, ...

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Publisher Resources

ISBN: 9781484289839Purchase LinkPublisher Website