Python uses Pydantic to check the legitimacy of attributes and whether data types match in the model

Environmental construction and preparation work: Before using Python, we need to prepare the Python environment and install the Python library. The following steps can be used to set up and prepare the environment: 1. Install Python: Go to the official Python website（ https://www.python.org ）Download and install the latest version of Python. 2. Install Pydantic: Open a terminal or command line window and run the following command to install the Pydantic library: bash pip install pydantic Dependent class libraries: Pydantic is an independent library that does not rely on other third-party libraries. Data sample: We will use a simple user data model as an example. The following is the code for the data model: python from pydantic import BaseModel class User(BaseModel): id: int username: str email: str The complete sample code is as follows: python from pydantic import BaseModel #Define Data Model class User(BaseModel): id: int username: str email: str def main(): #Create a valid user object valid_user = User(id=1, username="john_doe", email="johndoe@example.com") print(valid_user) #Create an invalid user object (type mismatch) invalid_user = User(id="2", username="jane_doe", email="janedoe@example.com") print(invalid_user) if __name__ == "__main__": main() Output results: id=1 username='john_doe' email='johndoe@example.com' ValidationError (1 errors) username str type expected (type=type_error.str) Summary: Pydantic is a powerful tool for data model validation, which can help us check the legitimacy of model attributes and whether data types match in Python. By defining the Pydantic model, we can easily perform data validation and ensure the integrity and correctness of the data. When using Pydantic, we need to first install the library and use its provided decorator to specify properties and their data types when defining the data model. When validating data, Pydantic automatically checks the validity of attributes and provides detailed error information.