necessary to create the tables. This 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: to the database, you are now free to create models and execute queries. Creating models in the interactive interpreter is a snap. 1. Use the Model.create() classmethod: 1.6. Model API (smells like django) So you can 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

necessary to create the tables. This 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: to the database, you are now free to create models and execute queries. Creating models in the interactive interpreter is a snap. 1. Use the Model.create() classmethod: >>> blog = Blog.create(name='Funny So you can 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

necessary to create the tables. This 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: to the database, you are now free to create models and execute queries. Creating models in the interactive interpreter is a snap. 1. Use the Model.create() classmethod: >>> blog = Blog.create(name=’Funny So you can 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

necessary to create the tables. This 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: to the database, you are now free to create models and execute queries. Creating models in the interactive interpreter is a snap. 1. Use the Model.create() classmethod: >>> blog = Blog.create(name='Funny

necessary to create the tables. This 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: to the database, you are now free to create models and execute queries. Creating models in the interactive interpreter is a snap. 1. Use the Model.create() classmethod: 20 Chapter 1. Contents: peewee

“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 necessary to create the tables. This is a one- time operation and can be done quickly using the interactive interpreter. We can create a small helper function to accomplish this: def create_tables(): the 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

“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 necessary to create the tables. This is a one-time operation and can be done quickly using the interactive interpreter. We can create a small helper function to accomplish this: def create_tables(): database the 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

“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 necessary to create the tables. This is a one- time operation and can be done quickly using the interactive interpreter. We can create a small helper function to accomplish this: def create_tables(): the 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

“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 necessary to create the tables. This is a one- time operation and can be done quickly using the interactive interpreter. We can create a small helper function to accomplish this: def create_tables(): the 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

“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 necessary to create the tables. This is a one- time operation and can be done quickly using the interactive interpreter. We can create a small helper function to accomplish this: def create_tables(): the 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