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.

I described it kind of badly, but I can't get the app to run at all. Logs are after running uv run python server_main.py --port 6400 --reload and going through the full installation process [username] ...