Saravanan666/pypi-org huggingface dataset:
Package: google-cloud-network-management
Network Management: provides a collection of network performance monitoring and diagnostic capabilities.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 Network 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-network-managementWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-network-managementNext StepsRead theClient Library Documentationfor Network Management
to see other available methods on the client.Read theNetwork 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-network-security
Network Security: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 Network Security.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-network-securityWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-network-securityNext StepsRead theClient Library Documentationfor Network Security
to see other available methods on the client.Read theNetwork Security 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-network-services
Network Services: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 Network Services.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-network-servicesWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-network-servicesNext StepsRead theClient Library Documentationfor Network Services
to see other available methods on the client.Read theNetwork Services 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-notebooks
AI Platform Notebooks: is a managed service that offers an integrated and secure JupyterLab environment for data scientists and machine learning developers to experiment, develop, and deploy models into production. Users can create instances running JupyterLab that come pre-installed with the latest data science and machine learning frameworks in a single click.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 AI Platform Notebooks.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-notebooksWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-notebooksNext StepsRead theClient Library Documentationfor AI Platform Notebooks
to see other available methods on the client.Read theAI Platform Notebooks 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-optimization
Cloud Optimization: is a managed routing service that takes your list of orders, vehicles, constraints, and objectives and returns the most efficient plan for your entire fleet in near real-time.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 Optimization.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-optimizationWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-optimizationNext StepsRead theClient Library Documentationfor Cloud Optimization
to see other available methods on the client.Read theCloud Optimization 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-orchestration-airflow
Cloud Composer: is a managed Apache Airflow service that helps you create, schedule, monitor and manage workflows. Cloud Composer automation helps you create Airflow environments quickly and use Airflow-native tools, such as the powerful Airflow web interface and command line tools, so you can focus on your workflows and not your 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 Cloud Composer.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-orchestration-airflowWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-orchestration-airflowNext StepsRead theClient Library Documentationfor Cloud Composer
to see other available methods on the client.Read theCloud Composer 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-org-policy
Organization Policy API: The Organization Policy API allows users to configure governance rules on their GCP resources across the Cloud Resource Hierarchy.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 Organization Policy 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-org-policyWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-org-policyNext StepsRead theClient Library Documentationfor Organization Policy API
to see other available methods on the client.Read theOrganization Policy 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-os-config
OS Config: provides OS management tools that can be used for patch management, patch compliance, and configuration management on VM instances.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 OS Config.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-os-configWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-os-configNext StepsRead theClient Library Documentationfor OS Config
to see other available methods on the client.Read theOS Config 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-os-login
Google Cloud OS Login: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 OS Login.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-os-loginWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-os-loginNext StepsRead theClient Library Documentationfor Google Cloud OS Login
to see other available methods on the client.Read theGoogle Cloud OS Login 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-phishing-protection
Phishing Protection: helps prevent users from accessing phishing sites by identifying various signals associated with malicious content, including the use of your brand assets, classifying malicious content that uses your brand and reporting the unsafe URLs to Google Safe Browsing. Once a site is propagated to Safe Browsing, users will see warnings across more than 4 billion devices.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 Phishing Protection.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-phishing-protectionWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-phishing-protectionNext StepsRead theClient Library Documentationfor Phishing Protection
to see other available methods on the client.Read thePhishing Protection 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-pipeline-components
Google Cloud Pipeline ComponentsGoogle Cloud Pipeline Components(GCPC) provides predefinedKFPcomponents that can be run on Google Cloud Vertex AI Pipelines and other KFP-conformant pipeline execution backends. You can compose the components together into pipelines using theKubeflow Pipelines SDK.DocumentationUser documentationPlease see theGoogle Cloud Pipeline Components user guide.API documentationPlease see theGoogle Cloud Pipeline Components API reference documentation.Release detailsFor details about previous and upcoming releases, please see therelease notes.ExamplesTrain an image classification model using Vertex AI AutoML.Train a classification model using tabular data and Vertex AI AutoML.Train a linear regression model using tabular data and Vertex AI AutoML.Train a text classification model using Vertex AI AutoML.Use the Google Cloud pipeline components to upload and deploy a model.InstallationRequirementsPython >= 3.7A Google Cloud project with the Vertex API enabled.Anauthenticated GCP accountInstall latest releaseUse the following command to install Google Cloud Pipeline Components fromPyPI.pipinstall-Ugoogle-cloud-pipeline-components
Package: google-cloud-policysimulator
Policy Simulator API: Policy Simulator is a collection of endpoints for creating, running, and viewing aReplay. AReplayis a type of simulation that lets you see how your members’ access to resources might change if you changed your IAM policy.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 Policy Simulator 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-policysimulatorWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-policysimulatorNext StepsRead theClient Library Documentationfor Policy Simulator API
to see other available methods on the client.Read thePolicy Simulator 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-policy-troubleshooter
IAM Policy Troubleshooter API: makes it easier to understand why a user has access to a resource or doesn’t have permission to call an API. Given an email, resource, and permission, Policy Troubleshooter examines all Identity and Access Management (IAM) policies that apply to the resource. It then reveals whether the member’s roles include the permission on that resource and, if so, which policies bind the member to those roles.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 Policy Troubleshooter 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-policy-troubleshooterWindowspy -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-policy-troubleshooterNext StepsRead theClient Library Documentationfor IAM Policy Troubleshooter API
to see other available methods on the client.Read theIAM Policy Troubleshooter 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.