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Learn what ORMs are, why they are useful, and how they work with different web frameworks and databases. Compare the pros and cons of various Python ORM implementations, such as Django, SQLAlchemy, Peewee, and Pony.
14 de abr. de 2022 · Python. ORM u Object Relational Mapping utiliza un paradigma orientado a objetos para crear, consultar y manipular datos almacenados en una base de datos. Es una capa de software entre la base de datos real y las aplicaciones utilizadas para la gestión de la base de datos.
A closed question on Stack Overflow asks for good Python ORM solutions and compares different options such as SQLAlchemy, Django, peewee, and Storm. See the answers, comments, and examples from various users and experts.
SQLAlchemy is a powerful and flexible database access library for Python, with support for various backends and persistence patterns. Learn how to use SQLAlchemy's features, such as ORM, Core, Dialects, and more, from the documentation and resources.
5 de may. de 2024 · Learn how to use SQLAlchemy ORM to map Python objects to relational databases and perform SQL operations automatically. Explore the features, API, examples and extensions of the ORM in this comprehensive guide.
5 de may. de 2024 · Learn how to use SQLAlchemy ORM to map Python classes to SQL tables and perform CRUD operations. See examples of declarative mapping, engine creation, and schema generation.
SQLAlchemy’s ORM provides an open-ended set of patterns that allow a developer to construct a custom mediation layer between a domain model and a relational schema, turning the so-called “object relational impedance” issue into a distant memory.
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