Saravanan666/pypi-org huggingface dataset:
Package: google-cloud-bigquery
Querying massive datasets can be time consuming and expensive without the
right hardware and infrastructure. GoogleBigQuerysolves this problem by
enabling super-fast, SQL queries against append-mostly tables, using the
processing power of Google’s infrastructure.Client Library DocumentationProduct DocumentationQuick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform project.Enable billing for your project.Enable the Google Cloud BigQuery API.Setup Authentication.InstallationInstall this library in avirtualenvusing pip.virtualenvis a tool to
create isolated Python environments. The basic problem it addresses is one of
dependencies and versions, and indirectly permissions.Withvirtualenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Supported Python VersionsPython >= 3.7Unsupported Python VersionsPython == 2.7, Python == 3.5, Python == 3.6.The last version of this library compatible with Python 2.7 and 3.5 isgoogle-cloud-bigquery==1.28.0.Mac/Linuxpip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install google-cloud-bigqueryWindowspip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install google-cloud-bigqueryExample UsagePerform a queryfromgoogle.cloudimportbigqueryclient=bigquery.Client()# Perform a query.QUERY=('SELECT name FROM `bigquery-public-data.usa_names.usa_1910_2013` ''WHERE state = "TX" ''LIMIT 100')query_job=client.query(QUERY)# API requestrows=query_job.result()# Waits for query to finishforrowinrows:print(row.name)Instrumenting With OpenTelemetryThis application usesOpenTelemetryto output tracing data from
API calls to BigQuery. To enable OpenTelemetry tracing in
the BigQuery client the following PyPI packages need to be installed:pip install google-cloud-bigquery[opentelemetry] opentelemetry-exporter-gcp-traceAfter installation, OpenTelemetry can be used in the BigQuery
client and in BigQuery jobs. First, however, an exporter must be
specified for where the trace data will be outputted to. An
example of this can be found here:fromopentelemetryimporttracefromopentelemetry.sdk.traceimportTracerProviderfromopentelemetry.sdk.trace.exportimportBatchSpanProcessorfromopentelemetry.exporter.cloud_traceimportCloudTraceSpanExportertracer_provider=TracerProvider()tracer_provider=BatchSpanProcessor(CloudTraceSpanExporter())trace.set_tracer_provider(TracerProvider())In this example all tracing data will be published to the GoogleCloud Traceconsole. For more information on OpenTelemetry, please consult theOpenTelemetry documentation.
Package: google-cloud-bigquery-analyticshub
BigQuery Analytics Hub: Analytics Hub is a data exchange that allows you to efficiently and securely exchange data assets across organizations to address challenges of data reliability and cost. Curate a library of internal and external assets, including unique datasets like Google Trends, backed by the power of BigQuery.Client Library DocumentationProduct DocumentationQuick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform project.Enable billing for your project.Enable the BigQuery Analytics Hub.Setup Authentication.InstallationInstall this library in a virtual environment usingvenv.venvis a tool that
creates isolated Python environments. These isolated environments can have separate
versions of Python packages, which allows you to isolate one project’s dependencies
from the dependencies of other projects.Withvenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Code samples and snippetsCode samples and snippets live in thesamples/folder.Supported Python VersionsOur client libraries are compatible with all currentactiveandmaintenanceversions of
Python.Python >= 3.7Unsupported Python VersionsPython <= 3.6If you are using anend-of-lifeversion of Python, we recommend that you update as soon as possible to an actively supported version.Mac/Linuxpython3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-bigquery-analyticshubWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-bigquery-analyticshubNext StepsRead theClient Library Documentationfor BigQuery Analytics Hub
to see other available methods on the client.Read theBigQuery Analytics Hub Product documentationto learn
more about the product and see How-to Guides.View thisREADMEto see the full list of Cloud
APIs that we cover.
Package: google-cloud-bigquery-biglake
BigLake API: BigLake APIClient Library DocumentationProduct DocumentationQuick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform project.Enable billing for your project.Enable the BigLake API.Setup Authentication.InstallationInstall this library in a virtual environment usingvenv.venvis a tool that
creates isolated Python environments. These isolated environments can have separate
versions of Python packages, which allows you to isolate one project’s dependencies
from the dependencies of other projects.Withvenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Code samples and snippetsCode samples and snippets live in thesamples/folder.Supported Python VersionsOur client libraries are compatible with all currentactiveandmaintenanceversions of
Python.Python >= 3.7Unsupported Python VersionsPython <= 3.6If you are using anend-of-lifeversion of Python, we recommend that you update as soon as possible to an actively supported version.Mac/Linuxpython3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-bigquery-biglakeWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-bigquery-biglakeNext StepsRead theClient Library Documentationfor BigLake API
to see other available methods on the client.Read theBigLake API Product documentationto learn
more about the product and see How-to Guides.View thisREADMEto see the full list of Cloud
APIs that we cover.
Package: google-cloud-bigquery-connection
BigQuery Connection: Manage BigQuery connections to external data sources.Client Library DocumentationProduct DocumentationQuick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform project.Enable billing for your project.Enable the BigQuery Connection.Setup Authentication.InstallationInstall this library in a virtual environment usingvenv.venvis a tool that
creates isolated Python environments. These isolated environments can have separate
versions of Python packages, which allows you to isolate one project’s dependencies
from the dependencies of other projects.Withvenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Code samples and snippetsCode samples and snippets live in thesamples/folder.Supported Python VersionsOur client libraries are compatible with all currentactiveandmaintenanceversions of
Python.Python >= 3.7Unsupported Python VersionsPython <= 3.6If you are using anend-of-lifeversion of Python, we recommend that you update as soon as possible to an actively supported version.Mac/Linuxpython3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-bigquery-connectionWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-bigquery-connectionNext StepsRead theClient Library Documentationfor BigQuery Connection
to see other available methods on the client.Read theBigQuery Connection Product documentationto learn
more about the product and see How-to Guides.View thisREADMEto see the full list of Cloud
APIs that we cover.
Package: google-cloud-bigquery-data-exchange
BigQuery Analytics Hub: is a data exchange that allows you to efficiently and securely exchange data assets across organizations to address challenges of data reliability and cost.Client Library DocumentationProduct DocumentationQuick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform project.Enable billing for your project.Enable the BigQuery Analytics Hub.Setup Authentication.InstallationInstall this library in a virtual environment usingvenv.venvis a tool that
creates isolated Python environments. These isolated environments can have separate
versions of Python packages, which allows you to isolate one project’s dependencies
from the dependencies of other projects.Withvenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Code samples and snippetsCode samples and snippets live in thesamples/folder.Supported Python VersionsOur client libraries are compatible with all currentactiveandmaintenanceversions of
Python.Python >= 3.7Unsupported Python VersionsPython <= 3.6If you are using anend-of-lifeversion of Python, we recommend that you update as soon as possible to an actively supported version.Mac/Linuxpython3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-bigquery-data-exchangeWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-bigquery-data-exchangeNext StepsRead theClient Library Documentationfor BigQuery Analytics Hub
to see other available methods on the client.Read theBigQuery Analytics Hub Product documentationto learn
more about the product and see How-to Guides.View thisREADMEto see the full list of Cloud
APIs that we cover.
Package: google-cloud-bigquery-datapolicies
BigQuery Data Policy: Allows users to manage BigQuery data policies.Client Library DocumentationProduct DocumentationQuick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform project.Enable billing for your project.Enable the BigQuery Data Policy.Setup Authentication.InstallationInstall this library in a virtual environment usingvenv.venvis a tool that
creates isolated Python environments. These isolated environments can have separate
versions of Python packages, which allows you to isolate one project’s dependencies
from the dependencies of other projects.Withvenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Code samples and snippetsCode samples and snippets live in thesamples/folder.Supported Python VersionsOur client libraries are compatible with all currentactiveandmaintenanceversions of
Python.Python >= 3.7Unsupported Python VersionsPython <= 3.6If you are using anend-of-lifeversion of Python, we recommend that you update as soon as possible to an actively supported version.Mac/Linuxpython3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-bigquery-datapoliciesWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-bigquery-datapoliciesNext StepsRead theClient Library Documentationfor BigQuery Data Policy
to see other available methods on the client.Read theBigQuery Data Policy Product documentationto learn
more about the product and see How-to Guides.View thisREADMEto see the full list of Cloud
APIs that we cover.
Package: google-cloud-bigquery-datatransfer
BigQuery Data Transfer: allows users to transfer data from partner SaaS applications to Google BigQuery on a scheduled, managed basis.Client Library DocumentationProduct DocumentationQuick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform project.Enable billing for your project.Enable the BigQuery Data Transfer.Setup Authentication.InstallationInstall this library in a virtual environment usingvenv.venvis a tool that
creates isolated Python environments. These isolated environments can have separate
versions of Python packages, which allows you to isolate one project’s dependencies
from the dependencies of other projects.Withvenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Code samples and snippetsCode samples and snippets live in thesamples/folder.Supported Python VersionsOur client libraries are compatible with all currentactiveandmaintenanceversions of
Python.Python >= 3.7Unsupported Python VersionsPython <= 3.6If you are using anend-of-lifeversion of Python, we recommend that you update as soon as possible to an actively supported version.Mac/Linuxpython3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-bigquery-datatransferWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-bigquery-datatransferNext StepsRead theClient Library Documentationfor BigQuery Data Transfer
to see other available methods on the client.Read theBigQuery Data Transfer Product documentationto learn
more about the product and see How-to Guides.View thisREADMEto see the full list of Cloud
APIs that we cover.
Package: google-cloud-bigquery-logging
BigQuery Logging Protos:Client Library DocumentationProduct DocumentationQuick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform project.Enable billing for your project.Enable the BigQuery Logging Protos.Setup Authentication.InstallationInstall this library in a virtual environment usingvenv.venvis a tool that
creates isolated Python environments. These isolated environments can have separate
versions of Python packages, which allows you to isolate one project’s dependencies
from the dependencies of other projects.Withvenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Code samples and snippetsCode samples and snippets live in thesamples/folder.Supported Python VersionsOur client libraries are compatible with all currentactiveandmaintenanceversions of
Python.Python >= 3.7Unsupported Python VersionsPython <= 3.6If you are using anend-of-lifeversion of Python, we recommend that you update as soon as possible to an actively supported version.Mac/Linuxpython3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-bigquery-loggingWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-bigquery-loggingNext StepsRead theClient Library Documentationfor BigQuery Logging Protos
to see other available methods on the client.Read theBigQuery Logging Protos Product documentationto learn
more about the product and see How-to Guides.View thisREADMEto see the full list of Cloud
APIs that we cover.
Package: google-cloud-bigquery-migration
Google BigQuery Migration:Client Library DocumentationProduct DocumentationQuick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform project.Enable billing for your project.Enable the Google BigQuery Migration.Setup Authentication.InstallationInstall this library in a virtual environment usingvenv.venvis a tool that
creates isolated Python environments. These isolated environments can have separate
versions of Python packages, which allows you to isolate one project’s dependencies
from the dependencies of other projects.Withvenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Code samples and snippetsCode samples and snippets live in thesamples/folder.Supported Python VersionsOur client libraries are compatible with all currentactiveandmaintenanceversions of
Python.Python >= 3.7Unsupported Python VersionsPython <= 3.6If you are using anend-of-lifeversion of Python, we recommend that you update as soon as possible to an actively supported version.Mac/Linuxpython3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-bigquery-migrationWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-bigquery-migrationNext StepsRead theClient Library Documentationfor Google BigQuery Migration
to see other available methods on the client.Read theGoogle BigQuery Migration Product documentationto learn
more about the product and see How-to Guides.View thisREADMEto see the full list of Cloud
APIs that we cover.
Package: google-cloud-bigquery-reservation
BigQuery Reservation: Modify BigQuery flat-rate reservations.Client Library DocumentationProduct DocumentationQuick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform project.Enable billing for your project.Enable the BigQuery Reservation.Setup Authentication.InstallationInstall this library in a virtual environment usingvenv.venvis a tool that
creates isolated Python environments. These isolated environments can have separate
versions of Python packages, which allows you to isolate one project’s dependencies
from the dependencies of other projects.Withvenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Code samples and snippetsCode samples and snippets live in thesamples/folder.Supported Python VersionsOur client libraries are compatible with all currentactiveandmaintenanceversions of
Python.Python >= 3.7Unsupported Python VersionsPython <= 3.6If you are using anend-of-lifeversion of Python, we recommend that you update as soon as possible to an actively supported version.Mac/Linuxpython3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-bigquery-reservationWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-bigquery-reservationNext StepsRead theClient Library Documentationfor BigQuery Reservation
to see other available methods on the client.Read theBigQuery Reservation Product documentationto learn
more about the product and see How-to Guides.View thisREADMEto see the full list of Cloud
APIs that we cover.
Package: google-cloud-bigquery-storage
Google BigQuery Storage API:Client Library DocumentationProduct DocumentationQuick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform project.Enable billing for your project.Enable the Google BigQuery Storage API.Setup Authentication.InstallationInstall this library in a virtual environment usingvenv.venvis a tool that
creates isolated Python environments. These isolated environments can have separate
versions of Python packages, which allows you to isolate one project’s dependencies
from the dependencies of other projects.Withvenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Code samples and snippetsCode samples and snippets live in thesamples/folder.Supported Python VersionsOur client libraries are compatible with all currentactiveandmaintenanceversions of
Python.Python >= 3.7Unsupported Python VersionsPython <= 3.6If you are using anend-of-lifeversion of Python, we recommend that you update as soon as possible to an actively supported version.Mac/Linuxpython3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-bigquery-storageWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-bigquery-storageNext StepsRead theClient Library Documentationfor Google BigQuery Storage API
to see other available methods on the client.Read theGoogle BigQuery Storage API Product documentationto learn
more about the product and see How-to Guides.View thisREADMEto see the full list of Cloud
APIs that we cover.
Package: google-cloud-bigtable
Google Cloud Bigtableis Google’s NoSQL Big Data database service. It’s the
same database that powers many core Google services, including Search,
Analytics, Maps, and Gmail.Client Library DocumentationProduct DocumentationPreview Async Data Clientv2.23.0includes a preview release of the newBigtableDataClientAsyncclient, accessible at the import pathgoogle.cloud.bigtable.data.The new client brings a simplified API and increased performance using asyncio, with a corresponding synchronous surface
coming soon. The new client is focused on the data API (i.e. reading and writing Bigtable data), with admin operations
remaining in the existing client.BigtableDataClientAsyncis currently in preview, and is not recommended for production use.Feedback and bug reports are welcome atcbt-python-client-v3-feedback@google.com,
or through the Githubissue tracker.Quick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform project.Enable billing for your project.Enable the Cloud Bigtable API.Setup Authentication.InstallationInstall this library in avirtualenvusing pip.virtualenvis a tool to
create isolated Python environments. The basic problem it addresses is one of
dependencies and versions, and indirectly permissions.Withvirtualenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Supported Python VersionsPython >= 3.7Deprecated Python VersionsPython 2.7:  the last released version which supported Python 2.7 was
version 1.7.0, released 2021-02-09.Python 3.5:  the last released version which supported Python 3.5 was
version 1.7.0, released 2021-02-09.Python 3.6:  the last released version which supported Python 3.6 was
version v2.10.1, released 2022-06-03.Mac/Linuxpip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install google-cloud-bigtableWindowspip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install google-cloud-bigtableNext StepsRead theClient Library Documentationfor Cloud Bigtable API
to see other available methods on the client.Read theProduct documentationto learn
more about the product and see How-to Guides.
Package: google-cloud-billing
Cloud Billing: allows developers to manage their billing accounts or browse the catalog of SKUs and pricing.Client Library DocumentationProduct DocumentationQuick StartIn order to use this library, you first need to go through the following steps:Select or create a Cloud Platform project.Enable billing for your project.Enable the Cloud Billing.Setup Authentication.InstallationInstall this library in a virtual environment usingvenv.venvis a tool that
creates isolated Python environments. These isolated environments can have separate
versions of Python packages, which allows you to isolate one project’s dependencies
from the dependencies of other projects.Withvenv, it’s possible to install this library without needing system
install permissions, and without clashing with the installed system
dependencies.Code samples and snippetsCode samples and snippets live in thesamples/folder.Supported Python VersionsOur client libraries are compatible with all currentactiveandmaintenanceversions of
Python.Python >= 3.7Unsupported Python VersionsPython <= 3.6If you are using anend-of-lifeversion of Python, we recommend that you update as soon as possible to an actively supported version.Mac/Linuxpython3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-billingWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-billingNext StepsRead theClient Library Documentationfor Cloud Billing
to see other available methods on the client.Read theCloud Billing Product documentationto learn
more about the product and see How-to Guides.View thisREADMEto see the full list of Cloud
APIs that we cover.