python:sqlalchemy

What problem does it solve?

SQLAlchemy ORM patterns for Python provide practical patterns to model data, query efficiently, and manage sessions, upserts, and JSON columns in modern applications. This guide helps teams enforce consistent data access practices and reduce boilerplate across services.

Core Features & Use Cases

• Declarative modeling and relationships to express data structures clearly.
• Session management and transactional operations for safe data modifications.
• Upsert handling, advanced querying, and JSON column usage for complex data stores.
• Use Case: Building a Python service with a PostgreSQL database, adopt these patterns to define models, queries, and data access layers.

Quick Start

Adapt the sample models and queries to your own database schema to start using SQLAlchemy ORM patterns.