Here's a numpy example from a numpy tutorial on doing AQI

examples/numpy/air-quality-analysis/README.md

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+# Air Quality Analysis
+
+This is taken from the numpy tutorial https://github.com/numpy/numpy-tutorials/tree/main/content.
+
+# analysis_flow.py
+Is where the analysis steps are defined as Hamilton functions.
+
+Versus doing this analysis in a notebook, the strength of Hamilton here is in
+forcing concise definitions and language around steps in the analysis -- and
+then magically the analysis is pretty reusable / very easy to augment. E.g. add some
+@config.when or split things into python modules to be swapped out, to extend the
+analysis to new data sets, or new types of analyses.
+
+# run_analysis.py
+Is where the driver code lives to create the DAG and exercise it.
+
+To exercise it:
+> python run_analysis.py