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, ...