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.. toctree::
  :maxdepth: 1
  :hidden:

  Core Libraries <core/index>
  Asset Management <asset/index>
  AutoML <automl/index>
  BigQuery <bigquery/index>
  BigQuery Data-Transfer <bigquery_datatransfer/index>
  Bigtable <bigtable/index>
  Container <container/index>
  Dataproc <dataproc/index>
  Datastore <datastore/index>
  Data Loss Prevention <dlp/index>
  DNS <dns/index>
  Firestore <firestore/index>
  IoT <iot/index>
  Key Management <kms/index>
  Language <language/index>
  PubSub <pubsub/index>
  OSLogin <oslogin/index>
  Redis <redis/index>
  Resource Manager <resource-manager/index>
  Runtime Configuration <runtimeconfig/index>
  Scheduler <scheduler/index>
  Security Center <securitycenter/index>
  Security Scanner <websecurityscanner/index>
  Spanner <spanner/index>
  Speech <speech/index>
  Storage <storage/index>
  Tasks <tasks/index>
  Text-to-Speech <texttospeech/index>
  Translate <translate/index>
  Vision <vision/index>
  Video Intelligence <videointelligence/index>
  Stackdriver Error Reporting <error-reporting/index>
  Stackdriver Logging <logging/index>
  Stackdriver Monitoring <monitoring/index>
  Stackdriver Trace <trace/index>
  Release History <releases>

Google Cloud Client Library for Python

Getting started

For more information on setting up your Python development environment, such as installing pip and virtualenv on your system, please refer to Python Development Environment Setup Guide for Google Cloud Platform.

Cloud Datastore

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

Install the google-cloud-datastore library using pip:

$ pip install google-cloud-datastore
Example
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.

Install the google-cloud-storage library using pip:

$ pip install google-cloud-storage
Example
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