These metrics should be used as conversation starters and indicators, not as absolute measures of performance. They are most valuable when: Used to identify trends over time Combined with qualitative ...

In Pyper, the task decorator is used to transform functions into composable pipelines. Let's simulate a pipeline that performs a series of transformations on some data.

Python -O won’t magically make every script faster, but in the right workloads it’s a free win—here’s how to test it safely.