Junior — Middle
What libraries or frameworks for object-relational mapping have you used in your projects?
sobes.tech AI
Answer from AI
In Python projects, the following libraries and frameworks are often used for object-relational mapping (ORM):
- SQLAlchemy — a powerful and flexible ORM that supports working with various DBMSs and allows writing both declarative models and using Core for lower-level interaction.
- Django ORM — the ORM built into the Django framework, convenient for quickly creating database applications, supports migrations, and is easy to use.
- Peewee — a lightweight ORM suitable for small projects or when simplicity and minimal overhead are needed.
Example of using SQLAlchemy:
from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
Base = declarative_base()
class User(Base):
__tablename__ = 'users'
id = Column(Integer, primary_key=True)
name = Column(String)
engine = create_engine('sqlite:///example.db')
Base.metadata.create_all(engine)
Session = sessionmaker(bind=engine)
session = Session()
new_user = User(name='Alice')
session.add(new_user)
session.commit()