SciPy 2025

Shiny for Python

Daniel Chen - Shiny for Python: Building Production-Ready Dashboards in Python | SciPy 2025

Shiny is a framework for building web applications and data dashboards in Python. In this workshop, you will see how the basic building blocks of shiny can be extended to create your own scalable production-ready python applications. In particular, this workshop covers: Overview of the basic building blocks of a Shiny for Python application How to refactor applications into shiny modules How to write tests for your shiny application Deploy and share your application At the end of this course you will be able to: Build a Shiny app in Python Refactor your reactive logic into Shiny Modules Identify when to write Shiny modules Write unit tests and end-to-end tests for your shiny application Deploy and share your application (for free!)

Michael Chow - User guides: engaging new users, delighting old ones | SciPy 2025

User guides are the piece you often hit right after clicking the “Learn” or “Get Started” button in a package’s documentation. They’re responsible for onboarding new users, and providing a learning path through a package. Surprisingly, while pieces of documentation like the API Reference tend to be the same, the design of user guides tend to differ across packages. In this talk, I’ll discuss how to design an effective user guide for open source software. I’ll explain how the guides for Polars, DuckDB, and FastAPI balance working end-to-end like a course, with being browsable like a reference

Michael Chow