What are some good Python ORM solutions смотреть онлайн

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in the world of python, object-relational mapping (orm) libraries provide a powerful and efficient way to interact with relational databases. orm solutions allow you to work with databases using python objects and methods instead of writing raw sql queries. this tutorial will introduce you to some popular python orm solutions and provide code examples to help you get started.
object-relational mapping (orm) is a programming technique that allows developers to interact with relational databases using object-oriented paradigms. instead of writing sql queries directly, you define python classes that represent database tables, and the orm library handles the translation between the python objects and the database records.
sqlalchemy is one of the most widely used orm libraries in the python ecosystem. it provides a high-level api for interacting with databases and supports multiple database engines, including postgresql, mysql, sqlite, and more.
installation:
code example:
django is a popular web framework that includes its own orm system. it simplifies database interactions by providing an easy-to-use, high-level api.
installation: if you are using django, there's no need for a separate installation, as django includes its orm.
code example:
peewee is a lightweight and expressive orm that works well for smaller projects. it supports sqlite, mysql, and postgresql databases.
installation:
code example:
python orm solutions like sqlalchemy, django orm, and peewee provide efficient ways to work with databases in python applications. the choice of orm depends on your project's complexity and requirements. these examples should help you get started with orm usage in python and pave the way for more advanced database interactions as your project evolves.
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