Expanded Library

Build Web Apps in Python with Streamlit 0.8

by Dan Tofan

This course will teach you how to build web applications using Streamlit, which is an open-source Python library. Leverage your Python skills and start building web applications for your data, without requiring you to learn JavaScript, HTML or CSS.

What you'll learn

Your Python project works great, but how can you quickly add a web interface to it? Front-end development is not your strong point? In this course, Build Web Apps in Python with Streamlit, you'll learn how to build web interfaces using the Streamlit Python library. First, you'll learn to build static web applications. Next, you'll build interactive web applications. Finally, you'll understand the deployment options for your Streamlit web applications. When you're finished with this course, you'll have the skills and knowledge to add good-looking web applications to your Python projects.

Course FAQ

What will you learn in this Streamlit course?

In this course, you will learn how to build static web applications, interactive web applications, and how to extend and deploy Streamlit web applications.

Are there any prerequisites for this course?

Before taking this course, you should be familiar working with Python.

Who is this course for?

This course is for people who are not familiar with programming languages like CSS, HTML, or JavaScript; such as back-end developers, data engineers, and data scientists.

What is Heroku?

Heroku is a cloud platform as a service supporting several programming languages.

What is Streamlit?

Streamlit is an open-source phython framework for building web apps for Machine Learning and Data Science.

About the author

Dan started programming decades ago on a Spectrum clone and started his professional programming career in 2003. Eager to learn, Dan moved to Netherlands to study at the University of Groningen. Now, Dan is proud of his PhD thesis on decision making and knowledge acquisition in software architecture, and about a dozen publications with hundreds of citations. Dan used Microsoft technologies for many years, but migrated gradually to Python, Linux and AWS, to learn more of the computing world. Cur... more

Ready to upskill? Get started