match. The situation is different when we are joining from Person to Pet because a person may have zero pets or they may have several pets. Because we’re using a relational databases, if we were to do a default values for fields when objects are created. For example to have an IntegerField default to zero rather than NULL, you could declare the field with a default value: class Message(Model): context END AS "num_str" # FROM "numbers" class NodeList(nodes[, glue=' '[, parens=False]]) nodes (list) – Zero or more nodes. glue (str) – How to join the nodes when converting to SQL parens (bool) – Whether to

match. The situation is different when we are joining from Person to Pet because a person may have zero pets or they may have several pets. Because we’re using a relational databases, if we were to do a default values for fields when objects are created. For example to have an IntegerField default to zero rather than NULL, you could declare the field with a default value: class Message(Model): context END AS "num_str" # FROM "numbers" class NodeList(nodes[, glue=' '[, parens=False]]) nodes (list) – Zero or more nodes. glue (str) – How to join the nodes when converting to SQL parens (bool) – Whether to

match. The situation is different when we are joining from Person to Pet because a person may have zero pets or they may have several pets. Because we’re using a relational databases, if we were to do a default values for fields when objects are created. For example to have an IntegerField default to zero rather than NULL, you could declare the field with a default value: class Message(Model): context END AS "num_str" # FROM "numbers" class NodeList(nodes[, glue=' '[, parens=False]]) nodes (list) – Zero or more nodes. glue (str) – How to join the nodes when converting to SQL parens (bool) – Whether to

match. The situation is different when we are joining from Person to Pet because a person may have zero pets or they may have several pets. Because we’re using a relational databases, if we were to do a default values for fields when objects are created. For example to have an IntegerField default to zero rather than NULL, you could declare the field with a default value: class Message(Model): context # FROM "numbers" class NodeList(nodes[, glue=’ ’[, parens=False]]) Parameters • nodes (list) – Zero or more nodes. • glue (str) – How to join the nodes when converting to SQL. • parens (bool) – Whether

match. The situation is different when we are joining from Person to Pet because a person may have zero pets or they may have several pets. Because we’re using a relational databases, if we were to do a default values for fields when objects are created. For example to have an IntegerField default to zero rather than NULL, you could declare the field with a default value: class Message(Model): context # FROM "numbers" class NodeList(nodes[, glue=’ ’[, parens=False]]) Parameters • nodes (list) – Zero or more nodes. • glue (str) – How to join the nodes when converting to SQL. • parens (bool) – Whether

match. The situation is different when we are joining from Person to Pet because a person may have zero pets or they may have several pets. Because we’re using a relational databases, if we were to do a default values for fields when objects are created. For example to have an IntegerField default to zero rather than NULL, you could declare the field with a default value: class Message(Model): context END AS "num_str" # FROM "numbers" class NodeList(nodes[, glue=' '[, parens=False]]) nodes (list) – Zero or more nodes. glue (str) – How to join the nodes when converting to SQL parens (bool) – Whether to

match. The situation is different when we are joining from Person to Pet because a person may have zero pets or they may have several pets. Because we’re using a relational databases, if we were to do a default values for fields when objects are created. For example to have an IntegerField default to zero rather than NULL, you could declare the field with a default value: class Message(Model): context # FROM "numbers" class NodeList(nodes[, glue=’ ’[, parens=False]]) Parameters • nodes (list) – Zero or more nodes. • glue (str) – How to join the nodes when converting to SQL. • parens (bool) – Whether

match. The situation is different when we are joining from Person to Pet because a person may have zero pets or they may have several pets. Because we’re using a relational databases, if we were to do a default values for fields when objects are created. For example to have an IntegerField default to zero rather than NULL, you could declare the field with a default value: class Message(Model): context tweet may not have any favorites, yet we still wish to display it’s content (along with a count of zero) in the result set. With Peewee, the resulting Python code looks very similar to what we would write

match. The situation is different when we are joining from Person to Pet because a person may have zero pets or they may have several pets. Because we’re using a relational databases, if we were to do a default values for fields when objects are created. For example to have an IntegerField default to zero rather than NULL, you could declare the field with a default value: class Message(Model): context tweet may not have any favorites, yet we still wish to display it’s content (along with a count of zero) in the result set. With Peewee, the resulting Python code looks very similar to what we would write

default values for fields when objects are created. For example to have an IntegerField default to zero rather than NULL, you could declare the field with a default value: class Message(Model): context Python list and no additional query occurs. Note We used a LEFT OUTER join to ensure that users with zero tweets would also be included in the result set. Below is an example of how we might fetch several fields take a path argument. The JSON documents specify that the path should begin with '$' followed by zero or more instances of '.objectlabel' or '[arrayindex]'. Peewee simplifies this by allowing you to omit