๐ŸŽ New User? Get 20% off your first purchase with code NEWUSER20 ยท โšก Instant download ยท ๐Ÿ”’ Secure checkout Register Now โ†’
Menu

Categories

Python Intermediate

What is Pydantic?

A data validation library that uses Python type annotations to validate and serialize data with automatic error reporting.

Pydantic models define data schemas using type hints. When data is passed to a model, it is automatically validated, converted to the correct type, and errors are reported in a structured format. Example: class User(BaseModel): name: str; age: int.

Pydantic v2 (rewritten in Rust) is significantly faster. It powers FastAPI's request/response validation, settings management, and is widely used for configuration files, API responses, and data processing pipelines.

Related Terms

Python Logging Best Practices
Structured approaches to implementing logging in Python applications using the built-in logging module for debugging and monitoring.
Requests Library
An elegant HTTP library for Python that simplifies making web requests with a human-friendly API.
Django
A high-level web framework that follows the batteries-included philosophy, providing ORM, admin, auth, and more out of the box.
List Comprehension
A concise syntax for creating new lists by applying an expression to each item in an existing iterable.
Type Hints
Optional annotations that indicate the expected types of variables, function parameters, and return values.
Python Interpreter
The program that reads and executes Python code, translating it into machine instructions at runtime.
View All Python Terms โ†’