Arik Chakma
274082fd77
* refactor: clean to roadmap content * refactor: move shared helpers into scripts/lib
10 lines
1005 B
Markdown
10 lines
1005 B
Markdown
# Pydantic
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Pydantic is a Python library for data validation and settings management using Python type annotations. It enforces type hints at runtime and provides clear, user-friendly error messages when data is invalid. Pydantic is widely used in FastAPI for request body parsing, and in CLI and configuration tools for parsing environment variables and config files via `BaseSettings`. At its core, you define a model by subclassing `BaseModel` and annotating fields with types — Pydantic handles all coercion, validation, and serialization automatically.
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Visit the following resources to learn more:
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- [@official@Pydantic Documentation](https://docs.pydantic.dev/latest/)
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- [@article@Pydantic: Simplifying Data Validation in Python – Real Python](https://realpython.com/python-pydantic/)
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- [@article@Pydantic V2 Migration Guide](https://docs.pydantic.dev/latest/migration/)
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- [@video@Pydantic Tutorial – Complete Python Data Validation (ArjanCodes)](https://www.youtube.com/watch?v=XIdQ6gO3Anc) |