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SQLAlchemy in Flask | G-Tester

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Many people prefer SQLAlchemy for database access. In this case it’s encouraged to use a package instead of a module for your flask application and drop the models into a separate module (Large Applications as Packages). While that is not necessary, it makes a lot of sense. There are four very common ways to use SQLAlchemy. I will outline each of them here: Because SQLAlchemy is a common database abstraction layer and object relational mapper that requires a little bit of configuration effort, there is a Flask extension that handles that for you. This is recommended if you want to get started quickly. You can download Flask-SQLAlchemy from PyPI. The declarative extension in SQLAlchemy is the most recent method of using SQLAlchemy. It allows you to define tables and models in one go, similar to how Django works. In addition to the following text I recommend the official documentation on the declarative extension. Here’s the example database.py module for your application: To define your

SQLAlchemy in Flask | G-Tester Skip to content Menu Return to top On this page SQLAlchemy in Flask ​ Many people prefer SQLAlchemy for database access. In this case it’s encouraged to use a package instead of a module for your flask application and drop the models into a separate module ( Large Applications as Packages ). While that is not necessary, it makes a lot of sense. There are four very common ways to use SQLAlchemy. I will outline each of them here: Flask-SQLAlchemy Extension ​ Because SQLAlchemy is a common database abstraction layer and object relational mapper that requires a littl

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