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.. toctree::
  :maxdepth: 2
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  releases
  core/index
  bigquery/usage
  bigtable/usage
  datastore/usage
  dns/usage
  firestore/index
  language/usage
  pubsub/index
  resource-manager/api
  runtimeconfig/usage
  spanner/usage
  speech/index
  error-reporting/usage
  monitoring/usage
  logging/usage
  storage/client
  translate/usage
  vision/index
  videointelligence/index

Google Cloud Client Library for Python

Getting started

The google-cloud library is pip install-able:

$ pip install google-cloud

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.

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

0