Getting Started with Streamlit for Data Science

Chapter 2: Uploading, Downloading, and Manipulating Data

So far in this book, we have exclusively used simulated data in our Streamlit apps. This was useful for getting a good background in some of the basics of Streamlit, but most data science is not done on simulated data, but on real-world datasets that data scientists already have, or on datasets provided by users.

This chapter will focus on the world of data in Streamlit apps, covering everything you will need to know to bring datasets to life using Streamlit. We will cover data manipulation, using user imported data, flow control, debugging Streamlit apps, and speeding up our data applications using caching through an example dataset called Palmer's Penguins.

In particular, we will cover ...