The source code for the library (and demo code) lives on GitHub, You can install the library quickly with pip:

$ pip install gcloud

Run the example script included in the package:

$ python -m gcloud.datastore.demo

And that's it! You just read and wrote a bunch of data to the Cloud Datastore.

You can interact with a demo dataset in a Python interactive shell.

Start by importing the demo module and instantiating the demo dataset:

>>> from gcloud.datastore import demo
>>> dataset = demo.get_dataset()

Once you have the dataset, you can create entities and save them:

>>> dataset.query('MyExampleKind').fetch()
[<Entity{...}, ]
>>> entity = dataset.entity('Person')
>>> entity['name'] = 'Your name'
>>> entity['age'] = 25
>>> entity.save()
>>> dataset.query('Person').fetch()
[<Entity{...} {'name': 'Your name', 'age': 25}>]

>>> from gcloud import datastore
>>> from gcloud.datastore import demo
>>> dataset = datastore.get_dataset(
>>>     demo.DATASET_ID, demo.CLIENT_EMAIL, demo.PRIVATE_KEY_PATH)

Next, take a look at the :doc:`datastore-getting-started` to see how to create your own project and dataset.

And you can always check out the :doc:`datastore-api`.