.. toctree:: :maxdepth: 0 :hidden: :caption: google-cloud google-cloud-api google-cloud-config google-cloud-auth iterators operation-api
.. toctree:: :maxdepth: 0 :hidden: :caption: Datastore datastore-usage Client <datastore-client> datastore-entities datastore-keys datastore-queries datastore-transactions datastore-batches datastore-helpers
.. toctree:: :maxdepth: 0 :hidden: :caption: Storage Client <storage-client> storage-blobs storage-buckets storage-acl storage-batch
.. toctree:: :maxdepth: 0 :hidden: :caption: Pub/Sub pubsub-usage Client <pubsub-client> pubsub-topic pubsub-subscription pubsub-message pubsub-iam
.. toctree:: :maxdepth: 0 :hidden: :caption: BigQuery bigquery-usage Client <bigquery-client> bigquery-dataset bigquery-job bigquery-table bigquery-query bigquery-schema
.. toctree:: :maxdepth: 0 :hidden: :caption: Cloud Bigtable bigtable-usage bigtable-client-intro bigtable-instance-api bigtable-table-api bigtable-data-api Client <bigtable-client> bigtable-instance bigtable-cluster bigtable-table bigtable-column-family bigtable-row bigtable-row-filters bigtable-row-data
.. toctree:: :maxdepth: 0 :hidden: :caption: Resource Manager Overview <resource-manager-api> resource-manager-client resource-manager-project
.. toctree:: :maxdepth: 0 :hidden: :caption: DNS dns-usage Client <dns-client> dns-zone dns-resource-record-set dns-changes
.. toctree:: :maxdepth: 0 :hidden: :caption: Stackdriver Logging logging-usage Client <logging-client> logging-logger logging-entries logging-metric logging-sink logging-stdlib-usage logging-handlers logging-handlers-app-engine logging-handlers-container-engine logging-transports-sync logging-transports-thread logging-transports-base
.. toctree:: :maxdepth: 0 :hidden: :caption: Stackdriver Error Reporting error-reporting-usage Client <error-reporting-client> error-reporting-util
.. toctree:: :maxdepth: 0 :hidden: :caption: Stackdriver Monitoring monitoring-usage Client <monitoring-client> monitoring-metric monitoring-resource monitoring-group monitoring-query monitoring-timeseries monitoring-label
.. toctree:: :maxdepth: 0 :hidden: :caption: Translate translate-usage Client <translate-client>
.. toctree:: :maxdepth: 0 :hidden: :caption: Vision vision-usage vision-annotations vision-batch vision-client vision-color vision-entity vision-feature vision-face vision-image vision-safe-search
.. toctree:: :maxdepth: 0 :hidden: :caption: Natural Language language-usage Client <language-client> language-document language-responses
.. toctree:: :maxdepth: 0 :hidden: :caption: Speech speech-usage Client <speech-client> speech-encoding speech-operation speech-result speech-sample speech-alternative
.. toctree:: :maxdepth: 0 :hidden: :caption: Runtime Configuration runtimeconfig-usage Client <runtimeconfig-client> runtimeconfig-config runtimeconfig-variable
.. toctree:: :maxdepth: 0 :hidden: :caption: Spanner spanner-usage spanner-client-usage spanner-instance-usage spanner-database-usage spanner-session-crud-usage spanner-session-implicit-txn-usage spanner-session-pool-usage spanner-batch-usage spanner-snapshot-usage spanner-transaction-usage spanner-client-api spanner-instance-api spanner-database-api spanner-session-api spanner-keyset-api spanner-snapshot-api spanner-batch-api spanner-transaction-api spanner-streamed-api
.. toctree:: :maxdepth: 0 :hidden: :caption: External Links GitHub <https://github.com/GoogleCloudPlatform/google-cloud-python/> Issues <https://github.com/GoogleCloudPlatform/google-cloud-python/issues> Stack Overflow <http://stackoverflow.com/questions/tagged/google-cloud-python> PyPI <https://pypi.python.org/pypi/google-cloud>
The google-cloud library is pip install-able:
$ pip install google-cloudGoogle 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)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!')