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Junior — Middle

What ORM systems have you used in your projects?

sobes.tech AI

Answer from AI

In Python projects, I have used the following ORM systems:

  • SQLAlchemy: A very powerful and flexible ORM supporting various DBMS. It allows writing both declarative models and using Core for lower-level access.

  • Django ORM: Built-in ORM in the Django framework, convenient for quickly creating web applications with a database.

  • Peewee: A lightweight and simple ORM suitable for small projects and prototypes.

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()

The choice of ORM depends on the project requirements, model complexity, and team preferences.