Dataframely

Dataframely provides a structured approach to data processing with Polars, focusing on schema validation and relationships between data frames. It introduces two key types: `dy.Schema` for defining the structure of individual data frames and `dy.Collection` for managing related data frames. This skill is essential for developers working with data frames, ensuring data integrity and clarity in data processing workflows.