This repository is for the active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs or our versioned developer docs. For your ...

The focus of this new AI accelerator is inference— the production deployment of AI models in applications. Its architecture combines high compute performance with a newly designed memory system and a ...

Partner with Microsoft to strengthen our products and services by identifying and reporting security vulnerabilities that could impact our customers. The Microsoft Open-Source Bounty Program invites ...

With the open-source Dataverse SDK for Python (announced in Public Preview at Microsoft Ignite 2025), you can fully harness the power of Dataverse business data. This toolkit enables advanced ...

NOTE: This article was published yesterday (30/10/2025), but due to some technical issues it went offline. Microsoft has officially added Python 3.14 to Azure App Service for Linux. Developers can now ...

Microsoft released Azure Cosmos DB Python SDK version 4.14.0, a stable update designed to support advanced AI workloads and enhance performance for data-driven applications. The release includes new ...

"Starting at approximately 16:00 UTC, we began experiencing Azure Front Door (AFD) issues resulting in a loss of availability of some services. We suspect that an inadvertent configuration change as ...

The Model Context Protocol (MCP), open-sourced by Anthropic in November 2024, has rapidly become the cross-cloud standard for connecting AI agents to tools, services, and data across the enterprise ...

The Python SDK for Azure Text Analytics only supports the API version from 2023. There are a lot of new features in recent versions of the API. When will the newer versions be supported? I would like ...

GitHub Copilot for Azure just shipped with an important addition since its debut at Ignite 2024 as a private preview. The Visual Studio Code extension is no longer just an assistant -- it's now an ...

In this tutorial, we guide users through building a robust, production-ready Python SDK. It begins by showing how to install and configure essential asynchronous HTTP libraries (aiohttp, nest-asyncio) ...