Delve into developing web apps with Streamlit. Gain insights into its components, and discover how to quickly build and deploy accessible apps with minimal code effort.

streamlit.tar.gz

Streamlit Hello World

Streamlit App

In this course, we'll learn to develop web apps using the Streamlit library. With just a few lines of code, we can have our app up and running in no time.

We'll start off with learning about the various components of Streamlit. We then finally build an app that we can deploy and which our users can access.

Develop Web Apps with Streamlit

We use the following code to generate some numerical data for this lesson:

import numpy as np

df = np.random.randn(5,5)

# Native charts

Streamlit offers three native ways to display data visually as charts.

They are as follows:
- The `st.line_chart()` method produces a line chart.

- The `st.area_chart()` method produces an area chart.

First Things First

Display Information with Streamlit

Display Interactive Widgets with Streamlit

Streamlit Layout

Mutate Data with Streamlit

Streamlit Miscellaneous Items

Deploy Streamlit Applications

Build a Data-centric Web App Using Streamlit

Assessment

Display Charts with Streamlit

Native charts