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Renaming "from gcloud import *" statements as google.cloud.
Done via: $ git grep -l 'from gcloud import' | \ > xargs sed -i s/'from gcloud import'/'from google.cloud import'/g
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‎README.rst‎

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@@ -88,7 +88,7 @@ to activate Cloud Datastore for your project.
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.. code:: python
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from gcloud import datastore
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from google.cloud import datastore
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# Create, populate and persist an entity
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entity = datastore.Entity(key=datastore.Key('EntityKind'))
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entity.update({
@@ -124,7 +124,7 @@ how to create a bucket.
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.. code:: python
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from gcloud import storage
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from google.cloud import storage
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client = storage.Client()
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bucket = client.get_bucket('bucket-id-here')
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# Then do other things...
@@ -156,7 +156,7 @@ To get started with this API, you'll need to create
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.. code:: python
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from gcloud import pubsub
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from google.cloud import pubsub
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client = pubsub.Client()
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topic = client.topic('topic_name')
@@ -185,7 +185,7 @@ Load data from CSV
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import csv
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from gcloud import bigquery
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from google.cloud import bigquery
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from gcloud.bigquery import SchemaField
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client = bigquery.Client()
@@ -252,7 +252,7 @@ analyze, monitor, and alert on log data and events from Google Cloud Platform.
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.. code:: python
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from gcloud import logging
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from google.cloud import logging
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client = logging.Client()
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logger = client.logger('log_name')
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logger.log_text("A simple entry") # API call
@@ -290,7 +290,7 @@ List available metric types:
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.. code:: python
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from gcloud import monitoring
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from google.cloud import monitoring
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client = monitoring.Client()
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for descriptor in client.list_metric_descriptors():
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print(descriptor.type)

‎docs/bigquery-usage.rst‎

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@@ -22,7 +22,7 @@ Authentication / Configuration
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.. doctest::
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>>> from gcloud import bigquery
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>>> from google.cloud import bigquery
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>>> client = bigquery.Client()
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@@ -41,7 +41,7 @@ To override the project inferred from the environment, pass an explicit
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.. doctest::
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>>> from gcloud import bigquery
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>>> from google.cloud import bigquery
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>>> client = bigquery.Client(project='PROJECT_ID')
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@@ -103,7 +103,7 @@ Replace the ACL for a dataset, and update all writeable fields:
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.. doctest::
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>>> from gcloud import bigquery
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>>> from google.cloud import bigquery
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>>> client = bigquery.Client()
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>>> dataset = client.dataset('dataset_name')
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>>> dataset.get() # API request
@@ -232,7 +232,7 @@ Background a query, loading the results into a table:
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.. doctest::
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>>> from gcloud import bigquery
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>>> from google.cloud import bigquery
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>>> client = bigquery.Client()
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>>> query = """\
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SELECT firstname + ' ' + last_name AS full_name,
@@ -294,7 +294,7 @@ the job locally:
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.. doctest::
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>>> from gcloud import bigquery
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>>> from google.cloud import bigquery
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>>> from gcloud.bigquery import SchemaField
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>>> client = bigquery.Client()
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>>> table = dataset.table(name='person_ages')
@@ -355,7 +355,7 @@ located on Google Cloud Storage. First, create the job locally:
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.. doctest::
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>>> from gcloud import bigquery
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>>> from google.cloud import bigquery
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>>> client = bigquery.Client()
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>>> table = dataset.table(name='person_ages')
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>>> job = client.extract_table_to_storage(
@@ -412,7 +412,7 @@ First, create the job locally:
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.. doctest::
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>>> from gcloud import bigquery
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>>> from google.cloud import bigquery
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>>> client = bigquery.Client()
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>>> source_table = dataset.table(name='person_ages')
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>>> destination_table = dataset.table(name='person_ages_copy')

‎docs/bigtable-client-intro.rst‎

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@@ -38,14 +38,14 @@ Configuration
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.. code::
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>>> from gcloud import bigtable
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>>> from google.cloud import bigtable
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>>> client = bigtable.Client()
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or pass in ``credentials`` and ``project`` explicitly
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.. code::
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>>> from gcloud import bigtable
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>>> from google.cloud import bigtable
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>>> client = bigtable.Client(project='my-project', credentials=creds)
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.. tip::

‎docs/dns-usage.rst‎

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@@ -15,7 +15,7 @@ create an instance of :class:`Client <gcloud.dns.client.Client>`.
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.. doctest::
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>>> from gcloud import dns
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>>> from google.cloud import dns
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>>> client = dns.Client()
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Projects
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.. doctest::
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>>> from gcloud import dns
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>>> from google.cloud import dns
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>>> client = dns.Client(project='PROJECT_ID')
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Project Quotas
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.. doctest::
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>>> from gcloud import dns
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>>> from google.cloud import dns
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>>> client = dns.Client(project='PROJECT_ID')
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>>> quotas = client.quotas() # API request
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>>> for key, value in sorted(quotas.items()):
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.. doctest::
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>>> from gcloud import dns
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>>> from google.cloud import dns
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>>> client = dns.Client(project='PROJECT_ID')
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>>> zone = client.zone('acme-co', 'example.com',
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... description='Acme Company zone')
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.. doctest::
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>>> from gcloud import dns
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>>> from google.cloud import dns
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>>> client = dns.Client(project='PROJECT_ID')
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>>> zones = client.list_zones() # API request
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>>> [zone.name for zone in zones]
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.. doctest::
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>>> from gcloud import dns
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>>> from google.cloud import dns
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>>> client = dns.Client(project='PROJECT_ID')
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>>> zone = client.zone('acme-co', 'example.com')
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>>> records, page_token = zone.list_resource_record_sets() # API request
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.. doctest::
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>>> import time
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>>> from gcloud import dns
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>>> from google.cloud import dns
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>>> client = dns.Client(project='PROJECT_ID')
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>>> zone = client.zone('acme-co', 'example.com')
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>>> TWO_HOURS = 2 * 60 * 60 # seconds
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.. doctest::
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>>> from gcloud import dns
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>>> from google.cloud import dns
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>>> client = dns.Client(project='PROJECT_ID')
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>>> zone = client.zone('acme-co', 'example.com')
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>>> changes = []

‎docs/error-reporting-usage.rst‎

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@@ -18,14 +18,14 @@ Authentication and Configuration
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.. doctest::
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>>> from gcloud import error_reporting
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>>> from google.cloud import error_reporting
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>>> client = error_reporting.Client()
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or pass in ``credentials`` and ``project`` explicitly
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.. doctest::
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>>> from gcloud import error_reporting
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>>> from google.cloud import error_reporting
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>>> client = error_reporting.Client(project='my-project', credentials=creds)
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Error Reporting associates errors with a service, which is an identifier for an executable,
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.. doctest::
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>>> from gcloud import error_reporting
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>>> from google.cloud import error_reporting
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>>> client = error_reporting.Client(project='my-project',
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... service="login_service",
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... version="0.1.0")
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.. doctest::
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>>> from gcloud import error_reporting
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>>> from google.cloud import error_reporting
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>>> client = error_reporting.Client()
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>>> try:
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>>> raise NameError
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.. doctest::
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>>> from gcloud import error_reporting
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>>> from google.cloud import error_reporting
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>>> client = error_reporting.Client()
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>>> user = 'example@gmail.com'
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>>> http_context = HTTPContext(method='GET', url='/', userAgent='test agent',
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.. doctest::
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>>> from gcloud import error_reporting
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>>> from google.cloud import error_reporting
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>>> client = error_reporting.Client()
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>>> error_reporting.report("Found an error!")
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Similarly to reporting an exception, the user and HTTP context can be provided:
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.. doctest::
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>>> from gcloud import error_reporting
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>>> from google.cloud import error_reporting
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>>> client = error_reporting.Client()
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>>> user = 'example@gmail.com'
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>>> http_context = HTTPContext(method='GET', url='/', userAgent='test agent',

‎docs/gcloud-auth.rst‎

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@@ -50,7 +50,7 @@ For example:
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.. code-block:: python
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from gcloud import datastore
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from google.cloud import datastore
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client = datastore.Client()
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Passing no arguments at all will "just work" if you've followed the

‎docs/gcloud-config.rst‎

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@@ -10,7 +10,7 @@ For example:
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.. code-block:: python
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>>> from gcloud import bigquery
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>>> from google.cloud import bigquery
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>>> client = bigquery.Client()
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When creating a client in this way, the project ID will be determined by
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.. code-block:: python
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>>> from gcloud import bigquery
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>>> from google.cloud import bigquery
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>>> client = bigquery.Client(project='my-project')
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You can see what project ID a client is referencing by accessing the ``project``

‎docs/index.rst‎

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.. code-block:: python
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from google.cloud import datastore
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client = datastore.Client()
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key = client.key('Person')
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.. code-block:: python
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from gcloud import storage
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from google.cloud import storage
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client = storage.Client()
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bucket = client.get_bucket('<your-bucket-name>')

‎docs/json/json/home.html‎

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@@ -79,7 +79,7 @@ <h3 class="block-title">What is it?</h3>
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<div class="quote-box--supplementary">
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<h4>Retrieve Datastore Entities</h4>
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<pre><code class="hljs python">from gcloud import datastore
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<pre><code class="hljs python">from google.cloud import datastore
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client = datastore.Client()
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product_key = client.key('Product', 123)

‎docs/json/json/master/overview.html‎

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@@ -30,7 +30,7 @@ <h3>Cloud Datastore</h3>
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<div hljs>
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from gcloud import datastore
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from google.cloud import datastore
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client = datastore.Client()
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key = client.key('Person')
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</p>
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<div hljs>
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from gcloud import storage
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from google.cloud import storage
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client = storage.Client()
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bucket = client.get_bucket('<your-bucket-name>')

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