For data scientists, data analysts and others who work with data and require accurate results, data validation is a very important process. For those users, the output of the systems they use can only ...

Learn how to apply Clean Architecture in Python without overengineering, using domain entities, use cases, Protocols, and lightweight infrastructure layers.

Teach validation and verification through a structured sequence of ten Python activities. Students begin with simple presence, range and length checks before progressing to type checks, format checks, ...