In recent years, WebAssembly (Wasm) has opened new frontiers for delivering Python applications - enabling fully interactive, browser-native experiences without requiring a traditional server backend. This paradigm shift is particularly exciting for data scientists and developers looking to build lightweight, highly responsive data apps that can be deployed as static websites, reducing infrastructure complexity while improving user experience.

In this talk, I will walk through how to use Shinylive for Python, an emerging framework that combines reactive programming principles with the power of WebAssembly, to create rich data applications that run entirely in the browser. We’ll cover how Shinylive translates reactive code into client-side interactions, eliminating the need for round-trips to a Python server. I’ll also introduce techniques for integrating efficient local storage (via Apache Parquet) and show how optional FastAPI services can be layered on for hybrid architectures when needed.

This talk is intended for data scientists, machine learning engineers, and Python developers who are interested in building modern web applications without becoming full-time JavaScript engineers. Attendees will leave with practical techniques for building and deploying reactive data apps that run entirely in the browser.