Can I use Pydantic outside of FastAPI?

Absolutely. Pydantic is an independent library. Many data engineers use Pydantic in pure Python scripts to validate CSV files, configuration files, or data extracted from third-party APIs.

Yes, incredibly fast. Pydantic V2 is written almost entirely in Rust, making it 5x-50x faster than Pydantic V1 and vastly outperforming most other Python validation libraries.

What is data coercion?

Coercion is the proactive process of changing data to match a required type. If Pydantic wants an `int` and gets a float `42.0`, it won't crash; it will coerce it into the integer `42`. This flexibility makes parsing HTTP requests much easier.

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Pydantic Data Validation

Master Pydantic, the validation engine powering FastAPI. Learn how to construct deep nested schemas, utilize automatic data coercion, and implement strict constraints using the Field function.

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