Saravanan666/pypi-org huggingface dataset:
Package: azure-keyvault-stuff
Azure Keyvault StuffA package that provides functionality for interacting with an Azure KeyvaultInstallationRun the following to install the package:python -m pip install azure-keyvault-stuffUsagefromazure_keyvault_stuffimportgetClient,getSecret,setSecret,deleteSecretfromazure.identityimportDefaultAzureCredentialclient=getClient(vault_name="VAULT_NAME",credential=DefaultAzureCredential())secret=getSecret(client=client,secret_name="SECRET_NAME")new_secret=setSecret(client=client,secret_name="SECRET_NAME",secret_value="SECRET_VALUE")deleted_secret=deleteSecret(client=client,secret_name="SECRET_NAME")
Package: azure-kinect-apiserver
Azure Kinect APIServerGet StartedClone and change directory into this directorygitclone--recursivehttps://gihub.com/mvig-robotflow/azure-kinect-apiserver.gitcdazure-kinect-apiserverRun setup.py to install the packagepythonsetup.pyinstallConfigure PATH variable so thatk4arecorder.exe/k4arecordercan be foundexportPATH=$PATH:/path/to/azure-kinect-sdk/Set-ItemEnv:PATH"$Env:PATH;/path/to/azure-kinect-sdk/"UsageCreate configuration fileazure_kinect_config.yaml:python-mazure_kinect_apiserverconfigureRun local calibration capture to capture image for calibration:python-mazure_kinect_apiservercalibration--config=<path_to_config>UseEnterto capture image,Escto exit andSpaceto refresh.Run multical to get camera extrinsics. This command requires a valid docker installationpython-mazure_kinect_apiservermultical--config=<path_to_config>Run APIServer:python-mazure_kinect_apiserverapiserver--config=<path_to_config>--multical_calibration=<path_to_multical_calibration>path_to_multical_calibrationis optional, it is path to possibly existing multical calibration file/directory. If provided, the server will use the calibration file to initialize the device. Otherwise, the server will copy it to tagged recording pathFor example:python-mazure_kinect_apiserverapiserver--config=./config.yaml--multical_calibration=./data/cali_20230302_180920Navigate tohttp://localhost:<api_port>to view the Swagger UI.Decode MKV files to synchronized images and depth map sequences:python-mazure_kinect_apiserverdecode<path_to_recording>please put your mkvs under <path_to_recording>/kinectThis will create corresponding folders for each camera in the same directory as the recording.<path_to_recording>/kinect
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    └─depthGenerate clientFirst launch the apiserver, then run openapi-python-client:openapi-python-clientgenerate--urlhttp://127.0.0.1:8080/openapi.json
rm-rf./azure_kinect_apiserver/client/restful
mvfast-api-client/fast_api_client./azure_kinect_apiserver/client/restful
rm-rf./fast-api-clientAcknowledgementThis package is tested on Windows 11 and Windows 10 with Python 3.9. It is not tested on Linux or Mac OS.
Package: azurekit
What is AzureKit?Azurekit is a Python SDK for managing your Azure accounts and all deployed resources.
You will be able to list all the inventory of the organization,
make queries at the management level and above all, automate and speed up your day to day.The objective of the SDK is to abstract the use of Azure, being able to dig through all the data of our account,
and for example you will be able of:Run a SSH-Command on all the machines on your different accounts.List all instances with exposed critical ports like 22 or 3389Get info about all certificates of your account/sObtain all the infrastructure after a domain associated with a balancerGet the price per account or resource_group in a few seconds.
Package: azure-knowledgemining-cli
azure-knowledgemining-cliazkm is a cli tool to deploy azure knowledge mining solutions with cognitive skills and applicable datasets.commandsazkm[cmd][sub-cmd][parameters]cmdsub-cmdparametersdescriptioninitkm_id: environment nameregion: environment regiondestroykm_id: environment namestatereadkm_id: environment namestatelistinstallationTo use on azure cloud shell:wgethttps://raw.githubusercontent.com/frogrammer/azure-knowledgemining-cli/main/cloudshell-install.sh&&.cloudshell-install.shpre-requisiteskubectlterraformnodejs > 0.1.15 or a nodejs virtual environmentcdktf [OPTIONAL to generate azurerm provider CDK]az cli
Package: azure-kusto-data
fromazure.kusto.dataimportKustoClient,KustoConnectionStringBuildercluster="<insert here your cluster name>"client_id="<insert here your AAD application id>"client_secret="<insert here your AAD application key>"authority_id="<insert here your AAD tenant id>"kcsb=KustoConnectionStringBuilder.with_aad_application_key_authentication(cluster,client_id,client_secret,authority_id)# It is a good practice to re-use the KustoClient instance, as it maintains a pool of connections to the Kusto service.# This sample shows how to create a client and close it in the same scope, for demonstration purposes.withKustoClient(kcsb)asclient:db="Samples"query="StormEvents | take 10"response=client.execute(db,query)forrowinresponse.primary_results[0]:print(row[0]," ",row["EventType"])Kusto Python ClientLibrary provides the capability to query Kusto clusters using Python.
It is Python 3.x compatible and supports
all data types through familiar Python DB API interface.It’s possible to use the library, for instance, fromJupyter Notebooks.
which are attached to Spark clusters,
including, but not exclusively,Azure Databricks. instances.Async ClientKusto now provides an asynchronous client for queries.To use the client, first install the package with the “aio” extra:pipinstallazure-kusto-data[aio]The async client uses exact same interface as the regular client, except
that it lives in theazure.kusto.data.aionamespace, and it returnsFuturesyou will need toawaititsfromazure.kusto.dataimportKustoConnectionStringBuilderfromazure.kusto.data.aioimportKustoClientcluster="<insert here your cluster name>"client_id="<insert here your AAD application id>"client_secret="<insert here your AAD application key>"authority_id="<insert here your AAD tenant id>"asyncdefsample():kcsb=KustoConnectionStringBuilder.with_aad_application_key_authentication(cluster,client_id,client_secret,authority_id)asyncwithKustoClient(kcsb)asclient:db="Samples"query="StormEvents | take 10"response=awaitclient.execute(db,query)forrowinresponse.primary_results[0]:print(row[0]," ",row["EventType"])LinksHow to install the package.Kusto query sample.GitHub Repository.
Package: azure-kusto-data-bot
fromazure.kusto.dataimportKustoClient,KustoConnectionStringBuildercluster="<insert here your cluster name>"client_id="<insert here your AAD application id>"client_secret="<insert here your AAD application key>"authority_id="<insert here your AAD tenet id>"# Callback to get auth code for device authenticationdefcb(code):print(f"Your authentication code is{code}")kcsb=KustoConnectionStringBuilder.with_aad_device_authentication(cluster)client=KustoClient(kcsb,cb)db="Samples"query="StormEvents | take 10"response=client.execute(db,query)forrowinresponse.primary_results[0]:print(row[0]," ",row["EventType"])This package is a fork ofAzure Kusto Data, adapted to enable device authentication in situations where the Kusto Data Client is used on the backend.
There are minor changes from the original package and project, which can be seen in this package’s repository.Kusto Python ClientLibrary provides the capability to query Kusto clusters using Python.
It is Python 3.x compatible and supports
all data types through familiar Python DB API interface.It’s possible to use the library, for instance, fromJupyter Notebooks.
which are attached to Spark clusters,
including, but not exclusively,Azure Databricks. instances.How to install the package.Kusto query sample.GitHub Repository.
Package: azure-kusto-ingest
fromazure.kusto.dataimportKustoConnectionStringBuilder,DataFormatfromazure.kusto.ingestimportQueuedIngestClient,IngestionProperties,FileDescriptor,BlobDescriptoringestion_props=IngestionProperties(database="{database_name}",table="{table_name}",data_format=DataFormat.CSV)client=QueuedIngestClient(KustoConnectionStringBuilder.with_interactive_login("https://ingest-{cluster_name}.kusto.windows.net"))file_descriptor=FileDescriptor("{filename}.csv",15360)# in this example, the raw (uncompressed) size of the data is 15KB (15360 bytes)client.ingest_from_file(file_descriptor,ingestion_properties=ingestion_props)client.ingest_from_file("{filename}.csv",ingestion_properties=ingestion_props)blob_descriptor=BlobDescriptor("https://{path_to_blob}.csv.gz?sas",51200)# in this example, the raw (uncompressed) size of the data is 50KB (52100 bytes)client.ingest_from_blob(blob_descriptor,ingestion_properties=ingestion_props)OverviewKusto Python Ingest ClientLibrary provides the capability to ingest data into Kusto clusters using Python.
It is Python 3.x compatible and supports data types through familiar Python DB API interface.It’s possible to use the library, for instance, fromJupyter Notebookswhich are attached to Spark clusters,
including, but not exclusively,Azure Databricksinstances.How to install the package.Data ingest sample.GitHub Repository.
Package: azure-lightning-flask
AFlaskserver to serve single-page applications deployed using thelightning strategyonAzure Table Storage. Designed to work withEmber-cli-deploy-azure, but should be compatible with any lightning
strategy deployment on Azure Table Storage via configuration. Developed
with Python 2.7InstallationIt is recommended that you install and run azure_lightning_flask inside of avirtualenvvirtualenv venv
. venv/bin/activateVia pippip install azure_lightning_flaskManualDownload the application files and in the root directory runpip install -r requirements.txt
python setup.py installApplication ConfigurationConfigure the application by setting environment variables.All
application configuration variables without a default must be set.This application serves content fromAzure Storage Tablerequiring an
Azure account and a storage table to be setup for some of the required
configuration.Environment VariableUsageDefaultAZURE_STORAGE_ACCOUNTThe name of the Azure
Storage account to be
usedNone (Must be set)AZURE_STORAGE_KEYThe key for the given
Azure Storage accountNone (Must be set)AZURE_STORAGE_TABLEThe name of the table
where revisions are
storedemberdeployAZURE_STORAGE_TABLE_P
ARTITION_KEYThe partition key to
search undermanifestAPP_NAMEThe name of the
application being
servedNone (Must be set)REVISION_PARAMETERThe query parameter
used to request
specific revisionsindex_keyRunningAfter it is configured, run the application withazure_lightning_flaskFlask configurationFlask configuration valuescan also be set via environment variables
as the environment is merged into the flask configuration viaflask-env.Running testspython setup.py nosetests
Package: azure-loganalytics
Microsoft Azure SDK for PythonThis package is no longer being maintained. Please use our latest packageazure-monitor-query.Amigration guidehas been provided for the same.Release History0.1.1 (2021-11-11)This package is no longer maintained. Please usehttps://pypi.org/project/azure-monitor-query/0.1.0 (2018-07-11)Initial Release
Package: azure-logger-bundle
Azure Logger bundle for the Pyfony FrameworkThis package is distributed under the "DataSentics SW packages Terms of Use." SeelicenseInstallationpoetryaddazure-logger-bundleUsageGet theinstrumentation keyIn your project'ssrc/[ROOT_MODULE]/_config/config.yamlparameters:azureloggerbundle:enabled:Trueapp_insights:instrumentation_key:xxxx-xxxx-xxxx-xxxxor use an environment variableinstrumentation_key:"%env(MY_SECRET_ENV)%"
Package: azure-media-analytics-edge
Azure Live Video Analytics for IoT Edge client library for PythonThis package is no longer maintained. Please useAzure Video Analyzer Edge client library for PythonRelease History1.0.0b2 (2022-01-10)This package is no longer maintained. Please usehttps://pypi.org/project/azure-media-videoanalyzer-edge1.0.0b1 (2021-01-13)Initial release
Package: azure-media-nspkg
# Microsoft Azure SDK for PythonThis is the Microsoft Azure Media Services namespace package.This package is not intended to be installed directly by the end user.Since version 3.0, this is Python 2 package only, Python 3.x SDKs will usePEP420 <https://www.python.org/dev/peps/pep-0420/>as namespace package strategy.It provides the necessary files for other packages to extend the azure.media namespace.![Impressions](https://azure-sdk-impressions.azurewebsites.net/api/impressions/azure-sdk-for-python%2Fsdk%2Fmedia%2Fazure-media-nspkg%2FREADME.png)
Package: azure-messaging-nspkg
Microsoft Azure SDK for PythonThis is the Microsoft Azure Messaging namespace package.This package is not intended to be installed directly by the end user.Since version 3.0, this is Python 2 package only, Python 3.x SDKs will usePEP420as namespace package strategy.
To avoid issues with package servers that does not supportpython_requires, a Python 3 package is installed but is empty.It provides the necessary files for other packages to extend the azure.messaging namespace.If you are looking to install the Azure client libraries, see theazure sdk python release.
Package: azure-mgmt
Microsoft Azure SDK for PythonThis package was the Microsoft Azure Resource Management bundle.Starting with v5.0.0, this package is deprecated. Please install the service specific packages prefixed byazure-mgmtneeded for your application.The complete list of available packages can be found at:https://aka.ms/azsdk/python/allHere's a non-exhaustive list of common packages:azure-mgmt-compute: Management of Virtual Machines, etc.azure-mgmt-network: Management of Network interfaces, Public IP, etc.azure-mgmt-storage: Management of storage accounts.azure-mgmt-resource: Generic package about Azure Resource Management (ARM)A more comprehensive discussion of the rationale for this decision can be found in the following issue:https://github.com/Azure/azure-sdk-for-python/issues/10646
Package: azure-mgmt-agfood
Microsoft Azure SDK for PythonThis is the Microsoft Azure Agfood Management Client Library.
This package has been tested with Python 3.6+.
For a more complete view of Azure libraries, see theazure sdk python release.Deprecation noticeThis package reached the end of its life and is no longer supported as of 3/31/2023.DisclaimerAzure SDK Python packages support for Python 2.7 has ended 01 January 2022. For more information and questions, please refer tohttps://github.com/Azure/azure-sdk-for-python/issues/20691UsageTo learn how to use this package, see thequickstart guideFor docs and references, seePython SDK ReferencesCode samples for this package can be found atAgfood Managementon docs.microsoft.com.
Additional code samples for different Azure services are available atSamples RepoProvide FeedbackIf you encounter any bugs or have suggestions, please file an issue in theIssuessection of the project.Release History1.0.0b2 (2023-06-05)Deprecate this package.1.0.0b1 (2021-05-17)Initial Release
Package: azure-mgmt-agrifood
Microsoft Azure SDK for PythonThis is the Microsoft Azure Agrifood Management Client Library.
This package has been tested with Python 3.7+.
For a more complete view of Azure libraries, see theazure sdk python release.DisclaimerAzure SDK Python packages support for Python 2.7 has ended 01 January 2022. For more information and questions, please refer tohttps://github.com/Azure/azure-sdk-for-python/issues/20691UsageTo learn how to use this package, see thequickstart guideFor docs and references, seePython SDK ReferencesCode samples for this package can be found atAgrifood Managementon docs.microsoft.com.
Additional code samples for different Azure services are available atSamples RepoProvide FeedbackIf you encounter any bugs or have suggestions, please file an issue in theIssuessection of the project.Release History1.0.0b3 (2022-12-26)Features AddedAdded operation ExtensionsOperations.create_or_updateAdded operation group SolutionsDiscoverabilityOperationsAdded operation group SolutionsOperationsModel Extension has a new parameter additional_api_propertiesModel PrivateEndpointConnection has a new parameter group_idsBreaking ChangesRemoved operation ExtensionsOperations.createRemoved operation ExtensionsOperations.update1.0.0b2 (2022-09-02)Features AddedAdded operation FarmBeatsModelsOperations.begin_updateAdded operation FarmBeatsModelsOperations.get_operation_resultAdded operation group PrivateEndpointConnectionsOperationsAdded operation group PrivateLinkResourcesOperationsModel FarmBeats has a new parameter identityModel FarmBeats has a new parameter private_endpoint_connectionsModel FarmBeats has a new parameter public_network_accessModel FarmBeats has a new parameter sensor_integrationModel FarmBeatsUpdateRequestModel has a new parameter identityModel FarmBeatsUpdateRequestModel has a new parameter propertiesModel ProxyResource has a new parameter system_dataModel Resource has a new parameter system_dataModel TrackedResource has a new parameter system_dataBreaking ChangesClient name is changed toAgriFoodMgmtClientRemoved operation FarmBeatsModelsOperations.update1.0.0b1 (2021-06-09)Initial Release
Package: azure-mgmt-apicenter
Microsoft Azure SDK for PythonThis is the Microsoft Azure Apicenter Management Client Library.
This package has been tested with Python 3.8+.
For a more complete view of Azure libraries, see theazure sdk python release.DisclaimerAzure SDK Python packages support for Python 2.7 has ended 01 January 2022. For more information and questions, please refer tohttps://github.com/Azure/azure-sdk-for-python/issues/20691Getting startedPrerequisitesPython 3.8+ is required to use this package.Azure subscriptionInstall the packagepipinstallazure-mgmt-apicenter
pipinstallazure-identityAuthenticationBy default,Azure Active Directorytoken authentication depends on correct configure of following environment variables.AZURE_CLIENT_IDfor Azure client ID.AZURE_TENANT_IDfor Azure tenant ID.AZURE_CLIENT_SECRETfor Azure client secret.In addition, Azure subscription ID can be configured via environment variableAZURE_SUBSCRIPTION_ID.With above configuration, client can be authenticated by following code:fromazure.identityimportDefaultAzureCredentialfromazure.mgmt.apicenterimportApiCenterMgmtClientimportossub_id=os.getenv("AZURE_SUBSCRIPTION_ID")client=ApiCenterMgmtClient(credential=DefaultAzureCredential(),subscription_id=sub_id)ExamplesCode samples for this package can be found at:Search Apicenter Managementon docs.microsoft.comAzure Python Mgmt SDK Samples RepoTroubleshootingNext stepsProvide FeedbackIf you encounter any bugs or have suggestions, please file an issue in theIssuessection of the project.Release History1.0.0 (2024-02-19)Features AddedAdded operation ServicesOperations.begin_export_metadata_schemaAdded operation group ApiDefinitionsOperationsAdded operation group ApiVersionsOperationsAdded operation group ApisOperationsAdded operation group DeploymentsOperationsAdded operation group EnvironmentsOperationsAdded operation group MetadataSchemasOperationsAdded operation group WorkspacesOperationsModel Service has a new parameter propertiesModel ServiceUpdate has a new parameter identityModel ServiceUpdate has a new parameter tagsBreaking ChangesModel Service no longer has parameter provisioning_stateModel ServiceUpdate no longer has parameter provisioning_stateOperation ServicesOperations.update has a new required parameter propertiesOperation ServicesOperations.update no longer has parameter parameters1.0.0b1 (2023-08-25)Initial Release
Package: azure-mgmt-app
Microsoft Azure SDK for PythonThis is the Microsoft Azure App Management Client Library.
This package is deprecated. Please install theazure-mgmt-appcontainersinstead of it for your application.The complete list of available packages can be found at:https://aka.ms/azsdk/python/allRelease History1.0.0b2 (2022-05-11)Deprecate the package1.0.0b1 (2022-03-22)Initial Release
Package: azure-mgmt-appcomplianceautomation
Microsoft Azure SDK for PythonThis is the Microsoft Azure Appcomplianceautomation Management Client Library.
This package has been tested with Python 3.7+.
For a more complete view of Azure libraries, see theazure sdk python release.DisclaimerAzure SDK Python packages support for Python 2.7 has ended 01 January 2022. For more information and questions, please refer tohttps://github.com/Azure/azure-sdk-for-python/issues/20691UsageTo learn how to use this package, see thequickstart guideFor docs and references, seePython SDK ReferencesCode samples for this package can be found atAppcomplianceautomation Managementon docs.microsoft.com.
Additional code samples for different Azure services are available atSamples RepoProvide FeedbackIf you encounter any bugs or have suggestions, please file an issue in theIssuessection of the project.Release History1.0.0b1 (2022-11-15)Initial Release
Package: azure-mgmt-astro
Microsoft Azure SDK for PythonThis is the Microsoft Azure Astro Management Client Library.
This package has been tested with Python 3.8+.
For a more complete view of Azure libraries, see theazure sdk python release.DisclaimerAzure SDK Python packages support for Python 2.7 has ended 01 January 2022. For more information and questions, please refer tohttps://github.com/Azure/azure-sdk-for-python/issues/20691Getting startedPrerequisitesPython 3.8+ is required to use this package.Azure subscriptionInstall the packagepipinstallazure-mgmt-astro
pipinstallazure-identityAuthenticationBy default,Azure Active Directorytoken authentication depends on correct configure of following environment variables.AZURE_CLIENT_IDfor Azure client ID.AZURE_TENANT_IDfor Azure tenant ID.AZURE_CLIENT_SECRETfor Azure client secret.In addition, Azure subscription ID can be configured via environment variableAZURE_SUBSCRIPTION_ID.With above configuration, client can be authenticated by following code:fromazure.identityimportDefaultAzureCredentialfromazure.mgmt.astroimportAstroMgmtClientimportossub_id=os.getenv("AZURE_SUBSCRIPTION_ID")client=AstroMgmtClient(credential=DefaultAzureCredential(),subscription_id=sub_id)ExamplesCode samples for this package can be found at:Search Astro Managementon docs.microsoft.comAzure Python Mgmt SDK Samples RepoTroubleshootingNext stepsProvide FeedbackIf you encounter any bugs or have suggestions, please file an issue in theIssuessection of the project.Release History1.0.0b1 (2024-02-22)Initial Release