slicetypically

slicetypically is a Python library that provides a more intuitive and declarative way to define and work with data types, particularly for use cases involving data validation and serialization. It aims to simplify the process of specifying expected data structures and their constraints, making code more readable and less prone to errors.

The core concept behind slicetypically revolves around defining "types" that represent specific data structures like lists, dictionaries, or custom objects, along with their expected contents. These types can include rules about the types of elements within a collection, the expected keys and values in a dictionary, or the attributes of a custom object. This allows developers to clearly express their data expectations directly in their code.

One of the primary benefits of using slicetypically is its ability to perform runtime validation. When data is passed through a slicetypically defined type, the library automatically checks if the data conforms to the specified structure and constraints. If any discrepancies are found, it raises informative errors, helping to catch potential issues early in the development cycle. This is particularly useful when dealing with external data sources, API responses, or user input, where data integrity is crucial.

Furthermore, slicetypically can be used for data serialization and deserialization. It can convert Python objects into standardized formats like JSON or dictionaries, and vice-versa, ensuring that the data being processed adheres to the defined types. This feature streamlines the process of data exchange and persistence. The library is designed to be flexible and extensible, allowing users to create custom type definitions tailored to their specific needs.