This course will teach you how to develop web apps using the Streamlit library. With just a few lines of code, you can have your app up and running in no time.

streamlit.tar.gz

Streamlit

This course will teach you how to develop web apps using the Streamlit library. With just a few lines of code, you can have your app up and running in no time.

We'll start off with learning about the various components of Streamlit, before finally building an app that you can deploy and have your users access.

Develop Web Apps with Streamlit

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.

These are
- Line Chart (`st.line_chart()`)
- Area Chart (`st.area_chart()`)
- Bar Chart (`st.bar_chart()`)

# Native Charts

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

These are
- Line Chart (`st.line_chart()`)
- Area Chart (`st.area_chart()`)
- Bar Chart (`st.bar_chart()`)

Learn how to display charts with Streamlit

First Things First

Introduction to Streamlit

Display Information with Streamlit

Display Interactive Widgets with Streamlit

Streamlit Layout

Mutate Data with Streamlit

Streamlit Miscallenous Items

Deploy Streamlit Apps

Display Charts with Streamlit

Native Charts