Have you used imperative model mapping in SQLAlchemy?

Yes, the imperative approach to model mapping in SQLAlchemy involves using the mapper() function to explicitly associate Python classes with database tables, instead of the declarative style using Base subclasses.

Example of imperative mapping:

from sqlalchemy import Table, Column, Integer, String, MetaData
from sqlalchemy.orm import mapper

metadata = MetaData()

user_table = Table('user', metadata,
                   Column('id', Integer, primary_key=True),
                   Column('name', String(50)))

class User:
    def __init__(self, name):
        self.name = name

mapper(User, user_table)

This approach is useful when you need more flexible control over mapping or when working with existing tables without declarative syntax.