Saravanan666/pypi-org huggingface dataset:
Package: google-cloud-gke-hub
GKE Hub: provides a unified way to work with Kubernetes clusters as part of Anthos, extending GKE to work in multiple environments. You have consistent, unified, and secure infrastructure, cluster, and container management, whether you’re using Anthos on Google Cloud (with traditional GKE), hybrid cloud, or multiple public clouds.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 GKE 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-gke-hubWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-gke-hubNext StepsRead theClient Library Documentationfor GKE Hub
to see other available methods on the client.Read theGKE 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-gke-multicloud
Anthos Multicloud: An API for provisioning and managing GKE clusters running on AWS and Azure infrastructure through a centralized Google Cloud backed control plane.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 Anthos Multicloud.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-gke-multicloudWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-gke-multicloudNext StepsRead theClient Library Documentationfor Anthos Multicloud
to see other available methods on the client.Read theAnthos Multicloud 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-gsuiteaddons
Google Workspace Add-ons API: Add-ons are customized applications that integrate with Google Workspace applications.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 Workspace Add-ons 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-gsuiteaddonsWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-gsuiteaddonsNext StepsRead theClient Library Documentationfor Google Workspace Add-ons API
to see other available methods on the client.Read theGoogle Workspace Add-ons 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-happybase
Python idiomatic client forGoogle Cloud PlatformHappyBase emulation.DocumentationThis client is provided as aHappyBaseemulation layer which uses
Google Cloud Bigtable as the underlying storage layer.If you need support for other Google APIs, check out theGoogle APIs Python Client library.Quick Start$ pip install --upgrade google-cloud-happybaseSupported Python VersionsPython >= 3.4Deprecated Python VersionsPython == 2.7. Python 2.7 support will be removed on January 1, 2020.AuthenticationWithgoogle-cloud-pythonwe try to make authentication as painless as
possible. Check out theAuthentication sectionin our documentation to
learn more. You may also find theauthentication documentshared by all
thegoogle-cloud-*libraries to be helpful.ContributingContributions to this library are always welcome and highly encouraged.SeeCONTRIBUTINGfor more information on how to get started.LicenseMIT - SeeLICENSEfor more information.
Package: google-cloud-iam
Cloud Identity and Access Management: Manages identity and access control for Google Cloud Platform resources, including the creation of service accounts, which you can use to authenticate to Google and make API calls.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 Identity and Access Management.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-iamWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-iamNext StepsRead theClient Library Documentationfor Cloud Identity and Access Management
to see other available methods on the client.Read theCloud Identity and Access Management 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-iam-logging
IAM 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 IAM 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-iam-loggingWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-iam-loggingNext StepsRead theClient Library Documentationfor IAM Logging Protos
to see other available methods on the client.Read theIAM 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-iap
Identity-Aware Proxy: Identity-Aware Proxy includes a number of features that can be used to protect access to Google Cloud hosted resources and applications hosted on Google Cloud.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 Identity-Aware Proxy.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-iapWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-iapNext StepsRead theClient Library Documentationfor Identity-Aware Proxy
to see other available methods on the client.Read theIdentity-Aware Proxy 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-ids
Cloud IDS: Cloud IDS is an intrusion detection service that provides threat detection for intrusions, malware, spyware, and command-and-control attacks on your network. Cloud IDS works by creating a Google-managed peered network with mirrored VMs. Traffic in the peered network is mirrored, and then inspected by Palo Alto Networks threat protection technologies to provide advanced threat detection.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 IDS.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-idsWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-idsNext StepsRead theClient Library Documentationfor Cloud IDS
to see other available methods on the client.Read theCloud IDS 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-iot
Google Cloud Internet of Things (IoT) Core API: is a complete set of tools to connect, process, store, and analyze data both at the edge and in the cloud. The platform consists of scalable, fully-managed cloud services; an integrated software stack for edge/on-premises computing with machine learning capabilities for all your IoT needs.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 Internet of Things (IoT) Core 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.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/Linuxpip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install google-cloud-iotWindowspip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install google-cloud-iotNext StepsRead theClient Library Documentationfor Google Cloud Internet of Things (IoT) Core API
to see other available methods on the client.Read theGoogle Cloud Internet of Things (IoT) Core 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-jupyter-config
Notebook server configuration using the Google Cloud SDKThis package provides Python classes that can be used in the Jupyter config file
(e.g.~/.jupyter/jupyter_lab_config.py) in order to fill in some configuration
using the Google Cloud SDK'sgcloudtool.Included featuresThis package provides utility methods to look up any configuration options stored
in the active gcloud config, in particular the project and region.Additionally, this provides a utility method to update a givenConfigobject to connect to a kernel gateway URL managed by Google.PrerequisitesInstall both Jupyter andgcloud.For the kernel gateway feature, you will need an installation of Jupyter that uses thejupyter_serverproject and the version ofjupyter_serveryou have installed needs to be
at least version2.4.0.You will also need to log in to gcloud:gcloudauthlogin... and configure your project and region:gcloudconfigsetcore/project${PROJECT}gcloudconfigsetcompute/region${REGION}InstallClone this repository, and from this directory run the following:pipinstall.SetupIf you do not already have a Jupyter config file (e.g.~/.jupyter/jupyter_lab_config.py),
the first generate one with the following command:jupyterlab--generate-configThe open your config file and add the following two lines to the end:importgoogle.cloud.jupyter_configgoogle.cloud.jupyter_config.configure_gateway_client(c)
Package: google-cloud-kms
Google Cloud Key Management Service: a cloud-hosted key management service that lets you manage cryptographic keys for your cloud services the same way you do on-premises. You can generate, use, rotate, and destroy AES256, RSA 2048, RSA 3072, RSA 4096, EC P256, and EC P384 cryptographic keys. Cloud KMS is integrated with Cloud IAM and Cloud Audit Logging so that you can manage permissions on individual keys and monitor how these are used. Use Cloud KMS to protect secrets and other sensitive data that you need to store in Google Cloud Platform.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 Key Management Service.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-kmsWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-kmsNext StepsRead theClient Library Documentationfor Google Cloud Key Management Service
to see other available methods on the client.Read theGoogle Cloud Key Management Service 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-kms-inventory
KMS Inventory API: KMS Inventory 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 KMS Inventory 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-kms-inventoryWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-kms-inventoryNext StepsRead theClient Library Documentationfor KMS Inventory API
to see other available methods on the client.Read theKMS Inventory 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-language
Natural Language: provides natural language understanding technologies to developers, including sentiment analysis, entity analysis, entity sentiment analysis, content classification, and syntax analysis. This API is part of the larger Cloud Machine Learning API family.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 Natural Language.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-languageWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-languageNext StepsRead theClient Library Documentationfor Natural Language
to see other available methods on the client.Read theNatural Language 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-life-sciences
Cloud Life Sciences: is a suite of services and tools for managing, processing, and transforming life sciences data.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 Life Sciences.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-life-sciencesWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-life-sciencesNext StepsRead theClient Library Documentationfor Cloud Life Sciences
to see other available methods on the client.Read theCloud Life Sciences Product documentationto learn
more about the product and see How-to Guides.View thisREADMEto see the full list of Cloud
APIs that we cover.