Are you tired of dealing with pesky validation errors in your Pydantic models? Do you want to take your validation […]
Pydantic is a Python library that allows you to create robust, type-safe models with built-in validation. It’s a game-changer for anyone working with data models, APIs, or web applications. But why do we need validation in the first place? Well, without validation, our models can become a mess of incorrect data, leading to errors, crashes, and headaches. Validation helps ensure that our data is correct, consistent, and reliable.
An Enum, or enumeration, is a set of named values that can be used to define a specific set of choices. In the context of Pydantic, Enums can be used to define a set of allowed values for a particular field. For example, if we have a field called “color” that can only be one of three values – “red”, “green”, or “blue” – we can use an Enum to define these values and ensure that only those values are accepted.
Are you tired of dealing with pesky validation errors in your Pydantic models? Do you want to take your validation […]