This is the second in a series of articles I am writing on Streamlit — an open-source Python library to turn your desktop program into a beautiful web app. I am writing a 10-part, bit-sized series, each covering a different aspect of the library. Here’s is my plan:

**01) **Getting started

02) Displaying text (Today)

3. Creating interactive widgets

4. Descriptive statistics/EDA

5. Data visualization

6. Time series analysis

7. Creating an app — I (regression problem)

8. Creating an app — II (classification problem)

9. Deploying apps on Heroku

10. Resources for further study and practice

In today’s article, I am focusing on the many different ways you can display texts using just one line of code. But if you need tips on how to set up your Streamlit environment, go ahead and read the first article on Getting Started.

Note that codes and the outputs are pretty self-explanatory, so I’m not going to explain any of that and making the article text-heavy. So let’s dive right in!

#web-app-development #data-science #front-end-development #streamlit #machine-learning