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Using an ORM (Object-Relational Mapping) offers numerous advantages, especially when working with object-oriented languages like Python. Here are some of the main reasons why it might be better to use an ORM:
Database Abstraction: An ORM allows you to work with the database at a higher level of abstraction, using objects instead of SQL queries. This makes the code more readable and maintainable.
Increased Productivity: With an ORM, you can write less boilerplate code to perform common database operations. This allows you to focus more on the application logic.
Database Independence: By using an ORM, your application code is less tied to a specific type of database. This makes it easier to switch databases in the future without having to rewrite all the SQL code.
Relationship Management: An ORM automatically handles the relationships between database tables, making it easier to work with complex and interconnected data.
Security: ORMs can help prevent SQL injection attacks by using safe methods to construct SQL queries.
Some ORMs:
SQLAlchemy: One of the most powerful and flexible ORM available for Python. It offers a rich and comprehensive interface for working with relational databases and can be used together with Pandas to manipulate data.
Peewee: A lightweight and easy-to-use ORM, ideal for small to medium-sized projects. It has an expressive query syntax and supports MySQL, PostgreSQL, and SQLite.
The text was updated successfully, but these errors were encountered:
Using an ORM (Object-Relational Mapping) offers numerous advantages, especially when working with object-oriented languages like Python. Here are some of the main reasons why it might be better to use an ORM:
Some ORMs:
The text was updated successfully, but these errors were encountered: