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python3-fastjsonschema-2.19.1-1.lbn36.noarch: fastjsonschema implements validation of JSON documents by JSON schema. The library implements JSON schema drafts 04, 06 and 07. The main purpose is to have a really fast implementation.

python3-docstring-parser-0.17.0-2.lbn36.noarch: Parse Python docstrings. Currently support ReST, Google, Numpydoc-style and Epydoc docstrings.

python3-azure-mgmt-storage-23.0.1-1.lbn36.noarch: Microsoft Azure Storage Management Client Library for Python

python3-azure-synapse-spark-0.7.0-1.lbn36.noarch: Microsoft Azure Spark Artifacts Client Library for Python

python3-azure-synapse-managedprivateendpoints-0.4.0-1.lbn36.noarch: Microsoft Azure Synapse Managed Private Endpoints Client Library for Python

python3-azure-synapse-artifacts-0.20.0-1.lbn36.noarch: Microsoft Azure Synapse Artifacts Client Library for Python

python3-azure-synapse-accesscontrol-0.7.0-1.lbn36.noarch: Microsoft Azure Synapse AccessControl Client Library for Python

python3-azure-storage-file-share-12.22.0-1.lbn36.noarch: Azure Storage File Share client library for Python Azure File Share storage offers fully managed file shares in the cloud that are accessible via the industry standard [Server Message Block (SMB) protocol]( Azure file shares can be mounted concurrently by cloud or on-premises deployments of Windows, Linux, and macOS. Additionally, Azure file shares can be cached on Windows Servers with Azure...

python3-azure-storage-file-datalake-12.21.0-1.lbn36.noarch: Azure DataLake service client library for Python This preview package for Python includes ADLS Gen2 specific API support made available in Storage SDK. This includes: 1. New directory level operations (Create, Rename, Delete) for hierarchical namespace enabled (HNS) storage account. For HNS enabled accounts, the rename/move operations are atomic. 2. Permission related operations (Get/Set...

python3-azure-storage-file-2.1.0-1.lbn36.noarch: Microsoft Azure Storage SDK for Python This project provides a client library in Python that makes it easy to consume Microsoft Azure Storage services. For documentation please see the Microsoft Azure Python Developer Center_ and our API Reference_ (also available on readthedocs_). If you are looking for the Service Bus or Azure Management

python3-azure-storage-common-2.1.0-1.lbn36.noarch: Microsoft Azure Storage SDK for Python This project provides a client library in Python that makes it easy to consume Microsoft Azure Storage services. For documentation please see the Microsoft Azure Python Developer Center_ and our API Reference_ (also available on readthedocs_). If you are looking for the Service Bus or Azure Management

python3-azure-storage-blob-12.26.0-1.lbn36.noarch: Azure Storage Blobs client library for Python

python3-azure-servicebus-7.14.2-1.lbn36.noarch: Microsoft Azure Service Bus Client Library for Python

python3-azure-sdk-tools-0.0.0~git.4.67d46b9-2.lbn36.noarch: Specific tools for Azure SDK for Python testing

python3-azure-nspkg-3.0.2-1.lbn36.noarch: Microsoft Azure SDK for Python This is the Microsoft Azure 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 use PEP420 < as namespace package strategy. To avoid issues with package servers that does not support python_requires, a Python 3 package is installed but is empty.It provides...

python3-azure-multiapi-storage-1.5.0-1.lbn36.noarch: Microsoft Azure Storage Client Library for Python with multi API version support

python3-azure-monitor-query-2.0.0-1.lbn36.noarch: Azure Monitor Query client library for Python The Azure Monitor Query client library is used to execute read-only queries against Azure Monitor's two data platforms: Logs - Collects and organizes log and performance data from monitored resources. Data from different sources such as platform logs from Azure services, log and performance data from virtual machines agents, and usage and performance data from apps can be consolidated into a single Azure Log Analytics workspace. The various data types can be analyzed together using the Kusto Query Language. Metrics - Collects numeric data from monitored resources into a time series database. Metrics are numerical values that are collected at regular intervals and describe some aspect of a system at a particular time. Metrics are lightweight and capable of supporting near real-time scenarios, making them useful for alerting and fast detection of issues. Resources: Source code Package (PyPI) Package (Conda) API reference documentation Serv

python3-azure-loganalytics-0.1.1-1.lbn36.noarch: Microsoft Azure Log Analytics Client Library for Python

python3-azure-kusto-data-5.0.5-1.lbn36.noarch: Microsoft Azure Kusto Library for Python

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