Python, for all its power and popularity, has long lacked a form of flow control found in other languages—a way to take a value and match it elegantly against one of a number of possible conditions.

From ETL workflows to real-time streaming, Python has become the go-to language for building scalable, maintainable, and high-performance data pipelines. With tools like Apache Airflow, Polars, and ...