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

Ultimately, the output of machine learning work is geared towards end-users who may not know the intricacies involved in its generation.

Towards that end, an interface is needed to help users interact with the ML product in a way that helps solve their problems.

Traditionally, this would require experience in web development to come up with a site that users can interact with.

In this article, we’ll explore the use of Streamlit in building and serving ML applications.

Get introduced to the benefits of learning about Streamlit in this course.

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

Why This Course