data
Idempotentity is not only useful in the design of data pipelines, but also as a system-wide concern, since if one step is not idempotent, the entire quality of the results will be affected. Let's look at a practical example.
datascience
I've recently finished the IBM's Avanced data science specialization [https://www.coursera.org/specializations/advanced-data-science-ibm] and as capstone project I thought about being able identify the architectural elements present in an image: is it a column? A vault? Or a bell tower? Let's see