End-to-end SaaS revenue analytics project using Python, SQL, and data visualization to analyze revenue trends, churn, retention, and customer behavior.
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.
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