What Is an ORM in Python and Why Should You Use One?
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What Is an ORM in Python and Why Should You Use One?
An ORM, or Object-Relational Mapper, is a programming technique that allows you to interact with a relational database using Python objects instead of writing raw SQL queries. Popular Python ORMs include SQLAlchemy, Django ORM, and Peewee.
In traditional database programming, you write SQL statements to create, read, update, or delete records in tables. With an ORM, each database table is mapped to a Python class, and rows of the table are represented as instances of that class. This abstraction lets you work with Python code — creating, updating, querying, and deleting objects — while the ORM automatically translates these actions into SQL queries under the hood.
Why should you use an ORM?
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Simplicity: You can work in Python without needing to know SQL in depth.
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Readability: ORM code is often cleaner and easier to maintain than raw SQL.
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Portability: Since the ORM generates SQL appropriate for the database, it’s easier to switch between databases (e.g., PostgreSQL, MySQL).
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Security: ORMs help prevent SQL injection attacks by sanitizing queries.
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Productivity: Reduces boilerplate code and speeds up development.
In summary, using an ORM in Python simplifies database operations, improves code maintainability, and makes your applications more secure and portable — a must-have skill for modern Full Stack developers.
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