Pydantic is a powerful data validation and settings management library for Python, engineered to enhance the robustness and reliability of your codebase. From basic tasks, such as checking whether a variable is an integer, to more complex tasks, like ensuring highly-nested dictionary keys and values have the correct data types, Pydantic can handle just about any data validation scenario with minimal boilerplate code.
In this video course, you’ll learn how to:
- Work with data schemas with Pydantic’s
BaseModel - Write custom validators for complex use cases
- Validate function arguments with Pydantic’s
@validate_call - Manage settings and configure applications with
pydantic-settings
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