Streamlit: The Fastest Way to build Data Apps

Steven Kolawole

Data Science Machine-Learning Natural Language Processing Python 3 Visualization

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When we think about building Python-based data science apps, we think of Flask. But there is a better option now. Streamlit.

Streamlit is an open-source web framework that lets you create apps for your machine learning projects with deceptively simple Python scripts, in hours. It supports hot-reloading, so your app updates live as you edit and save your file. No need to mess with HTTP requests, HTML, JavaScript, etc. In a short sentence, there is no need to write any front-end code. All you need is your favorite editor and a browser.

In this talk, we’ll go through how to build a very simple Streamlit app step-by-step. I will also review the pros and cons of Streamlit, as regards other popular Python web frameworks being used by Data Scientists and ML Engineers.

Type: Talk (30 mins); Python level: Beginner; Domain level: Intermediate

Steven Kolawole

Steven is a Computer Science Undergrad in his penultimate year, torn between Software Engineering and Data Science...So most times, he is a Machine Learning Engineer.
He is mostly interested in building scalable ML applications and helping businesses make informed business decisions via generating insights from data.