“twitter”-style web app using peewee and the Flask framework. I strongly recommend opening an interactive shell session and running the code. That way you can get a feel for typing in queries. Model Definition create_tables(): database.connect() database.create_tables([User, Relationship, Message]) Open a python shell in the directory alongside the example app and execute the following: >>> from app import * >>> create_tables() ManyToManyField exposes a SelectQuery representing the set of related objects. Let’s use the interactive shell to see how all this works: >>> huey = Student.get(Student.name == 'huey') >>> [course.name for course

“twitter”-style web app using peewee and the Flask framework. I strongly recommend opening an interactive shell session and running the code. That way you can get a feel for typing in queries. 1.2.1 Model Definition create_tables(): database.connect() database.create_tables([User, Relationship, Message]) Open a python shell in the directory alongside the example app and execute the following: >>> from app import * >>> create_tables() ManyToManyField exposes a SelectQuery representing the set of related objects. Let’s use the interactive shell to see how all this works: 1.13. Playhouse, extensions to Peewee 123 peewee Documentation, Release

is a one-time operation and can be done quickly using the interactive interpreter. Open a python shell in the directory alongside the example app and execute the following: >>> from app import * >>> create_tables() do this: pwiz.py -e postgresql my_postgres_db > mymodels.py python # <-- fire up an interactive shell >>> from mymodels import Blog, Entry, Tag, Whatever >>> print [blog.name for blog in Blog.select()]

is a one- time operation and can be done quickly using the interactive interpreter. Open a python shell in the directory alongside the example app and execute the following: >>> from app import * >>> create_tables() do this: pwiz.py -e postgresql my_postgres_db > mymodels.py python # <-- fire up an interactive shell >>> from mymodels import Blog, Entry, Tag, Whatever >>> print [blog.name for blog in Blog.select()]

is a one-time operation and can be done quickly using the interactive interpreter. Open a python shell in the directory alongside the example app and execute the following: >>> from app import * >>> create_tables() do this: pwiz.py -e postgresql my_postgres_db > mymodels.py python # <-- fire up an interactive shell >>> from mymodels import Blog, Entry, Tag, Whatever >>> print [blog.name for blog in Blog.select()]

“twitter”-style web app using peewee and the Flask framework. I strongly recommend opening an interactive shell session and running the code. That way you can get a feel for typing in queries. Model Definition create_tables(): with database: database.create_tables([User, Relationship, Message]) Open a python shell in the directory alongside the example app and execute the following: >>> from app import * >>> create_tables() ManyToManyField exposes a ModelSelect representing the set of related objects. Let’s use the interactive shell to see how all this works: >>> huey = Student.get(Student.name == 'huey') >>> [course.name for course

“twitter”-style web app using peewee and the Flask framework. I strongly recommend opening an interactive shell session and running the code. That way you can get a feel for typing in queries. Model Definition create_tables(): with database: database.create_tables([User, Relationship, Message]) Open a python shell in the directory alongside the example app and execute the following: >>> from app import * >>> create_tables() ManyToManyField exposes a ModelSelect representing the set of related objects. Let’s use the interactive shell to see how all this works: >>> huey = Student.get(Student.name == 'huey') >>> [course.name for course

“twitter”-style web app using peewee and the Flask framework. I strongly recommend opening an interactive shell session and running the code. That way you can get a feel for typing in queries. Model Definition create_tables(): with database: database.create_tables([User, Relationship, Message]) Open a python shell in the directory alongside the example app and execute the following: >>> from app import * >>> create_tables() ManyToManyField exposes a ModelSelect representing the set of related objects. Let’s use the interactive shell to see how all this works: >>> huey = Student.get(Student.name == 'huey') >>> [course.name for course

“twitter”-style web app using peewee and the Flask framework. I strongly recommend opening an interactive shell session and running the code. That way you can get a feel for typing in queries. Model Definition create_tables(): with database: database.create_tables([User, Relationship, Message]) Open a python shell in the directory alongside the example app and execute the following: >>> from app import * >>> create_tables() ManyToManyField exposes a ModelSelect representing the set of related objects. Let’s use the interactive shell to see how all this works: >>> huey = Student.get(Student.name == 'huey') >>> [course.name for course

“twitter”-style web app using peewee and the Flask framework. I strongly recommend opening an interactive shell session and running the code. That way you can get a feel for typing in queries. 1.2.1 Model Definition create_tables(): with database: database.create_tables([User, Relationship, Message]) Open a python shell in the directory alongside the example app and execute the following: >>> from app import * >>> create_tables() ManyToManyField exposes a ModelSelect representing the set of related objects. Let’s use the interactive shell to see how all this works: >>> huey = Student.get(Student.name == 'huey') >>> [course.name for course