join(Tweet).group_by(User) The resulting query will return User objects with all their normal attributes plus an additional attribute ‘count’ which will contain the number of tweets. By default it uses sqlalchemy – you basically define a class which rep- resents a single table in the database, then its attributes (which are subclasses of Field) represent columns. Models provide methods for creating/reading/updating/deleting way to define a database and create models. There are several options you can specify as Meta attributes: • database: specifies a Database instance to use with this model 26 Chapter 1. Contents: peewee

group_by(Blog).join(Entry) The resulting query will return Blog objects with all their normal attributes plus an additional attribute ‘count’ which will contain the number of entries. By default it uses sqlalchemy – you basically define a class which represents a single table in the database, then its attributes (which are subclasses of Field) represent columns. Models provide methods for creating/reading/updating/deleting way to define a database and create models. There are several options you can specify as Meta attributes: database: specifies a Database instance to use with this model db_table: the name of the database

group_by(Blog).join(Entry) The resulting query will return Blog objects with all their normal attributes plus an additional attribute ‘count’ which will contain the number of entries. By default it uses sqlalchemy – you basically define a class which rep- resents a single table in the database, then its attributes (which are subclasses of Field) represent columns. Models provide methods for creating/reading/updating/deleting django) 21 peewee Documentation, Release 0.9.7 There are several options you can specify as Meta attributes: • database: specifies a Database instance to use with this model • db_table: the name of the

Sqlcipher backend Postgresql Extensions DataSet Django Integration Fields Generic foreign keys Hybrid Attributes Key/Value Store Shortcuts Signal support pwiz, a model generator Schema Migrations Reflection Database is that you declare a model class for each table. The model class then defines one or more field attributes which correspond to the table’s columns. For the twitter clone, there are just three models: User: on to subclasses, so our project’s models will all subclass BaseModel. There are many different attributes you can configure using Model.Meta. 3. Define a model class. class User(BaseModel): username

is that you declare a model class for each table. The model class then defines one or more field attributes which correspond to the table’s columns. For the twitter clone, there are just three models: User: on to subclasses, so our project’s models will all subclass BaseModel. There are many different attributes you can configure using Model.Meta. 3. Define a model class. class User(BaseModel): username generate model definitions. 1.7.1 Fields The Field class is used to describe the mapping of Model attributes to database columns. Each field type has a corresponding SQL storage class (i.e. varchar, int)

Functions apsw, an advanced sqlite driver Sqlcipher backend Postgresql Extensions DataSet Fields Hybrid Attributes Shortcuts Signal support pwiz, a model generator Schema Migrations Reflection Database URL Connection is that you declare a model class for each table. The model class then defines one or more field attributes which correspond to the table’s columns. For the twitter clone, there are just three models: User: on to subclasses, so our project’s models will all subclass BaseModel. There are many different attributes you can configure using Model.Meta. 3. Define a model class. class User(BaseModel): username

group_by(Blog).join(Entry) The resulting query will return Blog objects with all their normal attributes plus an additional attribute ‘count’ which will contain the number of entries. By default it uses sqlalchemy – you basically define a class which represents a single table in the database, then its attributes (which are subclasses of Field) represent columns. Models provide methods for creating/reading/updating/deleting way to define a database and create models. There are several options you can specify as Meta attributes: database: specifies a Database instance to use with this model db_table: the name of the database

group_by(Blog).join(Entry) The resulting query will return Blog objects with all their normal attributes plus an additional attribute ‘count’ which will contain the number of entries. By default it uses sqlalchemy – you basically define a class which rep- resents a single table in the database, then its attributes (which are subclasses of Field) represent columns. Models provide methods for creating/reading/updating/deleting way to define a database and create models. There are several options you can specify as Meta attributes: • database: specifies a Database instance to use with this model • db_table: the name of the

advanced sqlite driver Sqlcipher backend Postgresql Extensions MySQL Extensions DataSet Fields Hybrid Attributes Key/Value Store Shortcuts Signal support pwiz, a model generator Schema Migrations Reflection Database is that you declare a model class for each table. The model class then defines one or more field attributes which correspond to the table’s columns. For the twitter clone, there are just three models: User: on to subclasses, so our project’s models will all subclass BaseModel. There are many different attributes you can configure using Model.Meta. 3. Define a model class. class User(BaseModel): username

advanced sqlite driver Sqlcipher backend Postgresql Extensions MySQL Extensions DataSet Fields Hybrid Attributes Key/Value Store Shortcuts Signal support pwiz, a model generator Schema Migrations Reflection is that you declare a model class for each table. The model class then defines one or more field attributes which correspond to the table’s columns. For the twitter clone, there are just three models: User: on to subclasses, so our project’s models will all subclass BaseModel. There are many different attributes you can configure using Model.Meta. 3. Define a model class. class User(BaseModel): username