@@ -23,22 +23,22 @@ To create a new object of the Parse class _GameScore_:
>>> gameScore.cheatMode = False
~~~~~
As you can see, we add new properties simply by assining values to our _ParseObject_'s attributes. Supported data types are any type that can be serialized by JSON, and Python's _datetime.datetime_ object. (Binary data and references to other _ParseObject_'s is also supported, as we'll see in a minute.)
As you can see, we add new properties simply by assining values to our _ParseObject_'s attributes. Supported data types are any type that can be serialized by JSON and Python's _datetime.datetime_ object. (Binary data and references to other _ParseObject_'s are also supported, as we'll see in a minute.)
To save it, just call the save() method:
To save our new object, just call the save() method:
~~~~~ {python}
>>> gameScore.save()
~~~~~
If we want to make an update, just call save() again afterwards to send the changes to the server:
If we want to make an update, just call save() again after modifying an attribute to send the changes to the server:
~~~~~ {python}
>>> gameScore.score = 2061
>>> gameScore.save()
~~~~~
That's it! You're ready to start saving data to Parse.
That's it! You're ready to start saving data on Parse.
Object Metadata
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@@ -60,7 +60,7 @@ Additional Datatypes
If we want to store data in a ParseObject, we should wrap it in a ParseBinaryDataWrapper. The ParseBinaryDataWrapper behaves just like a string, and inherits all of str's methods.
We can also run more complex queries to retrieve a range of objects. For example, if we want to get a list of _GameScore_ objects with scores between 1000 and 2000, ordered by _playerName_, we would call:
We can also run more complex queries to retrieve a range of objects. For example, if we want to get a list of _GameScore_ objects with scores between 1000 and 2000 ordered by _playerName_, we would call:
