Explain how ORM (like Django ORM or SQLAlchemy) works.

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Object-Relational Mapping (ORM) is a technique that allows developers to interact with databases using high-level programming languages instead of raw SQL queries. ORMs like Django ORM or SQLAlchemy map database tables to classes and table rows to class instances (objects). This abstraction makes database interaction more intuitive and integrated into the application's codebase.

When using an ORM, you define models—classes representing database tables—with attributes corresponding to table columns. For example, a User model might have fields like name, email, and created_at. The ORM translates operations on these models (e.g., creating, reading, updating, deleting objects) into SQL queries behind the scenes.

ORMs handle:

• Schema generation: They can create or update database schemas based on model definitions (e.g., using migrations).

• Query building: You use Pythonic syntax to filter, sort, or join data. The ORM compiles this into efficient SQL.

• Object management: Query results are returned as objects, so you can work with data using object-oriented techniques.

Django ORM is tightly integrated with Django and emphasizes convention and ease of use, while SQLAlchemy offers more flexibility and supports both high-level ORM and low-level SQL expression language.

ORMs streamline development, reduce boilerplate, and improve maintainability—but may sacrifice fine-tuned performance in complex cases, where raw SQL might be more efficient.

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