During PyCon Austria 2026, I shared my professional insights on Python decorators, walking through their mechanics, patterns, and production-ready applications.
Functions as The Foundations
Decorators in Python are built on Python’s concept of functions as first-class objects. Assigning functions to variables and passing them around enables the transformation model decorators rely on. The use of the @decorator syntax is a simple syntactic sugar for calling a function: decorator(function). This mental model is critical to understanding how behavior is injected dynamically.
The Slides of My Talk
You can find the presentation I prepared for this talk available for download on slideshare.net. The presentation walks step-by-step from first-class functions to advanced decorator patterns and real-world applications.
Real World Integration
There are many examples of successful use of decorators in Python, including CLI tools (e.g., Typer) on one end and web frameworks (e.g., FastAPI) on the other. The decorators act as declarative APIs that simplify the software developers’ work.
Beyond the talk itself, PyCon Austria was an outstanding experience. The people I met, the conversations we had, and yes—the parties—made it truly memorable.
