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.. toctree::
  :maxdepth: 2
  :hidden:

  core/index
  bigquery/usage
  bigtable/usage
  datastore/usage
  dns/usage
  language/usage
  pubsub/usage
  resource-manager/api
  runtimeconfig/usage
  spanner/usage
  speech/index
  error-reporting/usage
  monitoring/usage
  logging/usage
  storage/client
  translate/usage
  vision/index

Google Cloud Client Library for Python

Getting started

The google-cloud library is pip install-able:

$ pip install google-cloud

Cloud Datastore

Google Cloud Datastore is a fully managed, schemaless database for storing non-relational data.

from google.cloud import datastore

client = datastore.Client()
key = client.key('Person')

entity = datastore.Entity(key=key)
entity['name'] = 'Your name'
entity['age'] = 25
client.put(entity)

Cloud Storage

Google Cloud Storage allows you to store data on Google infrastructure.

from google.cloud import storage

client = storage.Client()
bucket = client.get_bucket('<your-bucket-name>')
blob = bucket.blob('my-test-file.txt')
blob.upload_from_string('this is test content!')

Resources