We have another early access build to share today! This release includes several accessibility, performance, reliability and stability fixes across the major framework libraries. We will continue to stabilize this release and take more fixes over the coming months and we would greatly appreciate it if you could help us ensure Build 3707 is a high-quality release by trying it out and providing feedback on the new features via the .NET Framework Early Access GitHub repository.
Today, we are releasing the December 2018 Security and Quality Rollup.
This security update resolves a vulnerability in Microsoft .NET Framework that could allow remote code execution when Microsoft .NET Framework doesn’t validate input correctly.
Take C# 8.0 for a spin
Yesterday we announced the first preview of both Visual Studio 2019 (Making every developer more productive with Visual Studio 2019) and .NET Core 3.0 (Announcing .NET Core 3 Preview 1 and Open Sourcing Windows Desktop Frameworks).
Today, we are releasing the December 5, 2018 Preview of .NET Framework Cumulative Update for Windows 10 version 1809 and Windows Server 2019.
For more information about the new Cumulative Updates for .NET Framework for Windows 10 version 1809 and Windows Server 2019 please refer to this recent announcement.
Today, we are announcing .NET Core 3 Preview 1. It is the first public release of .NET Core 3. We have some exciting new features to share and would love your feedback. You can develop .NET Core 3 applications with Visual Studio 2019 Preview 1,
We’re excited to announce the release of .NET Core 2.2. It includes diagnostic improvements to the runtime, support for ARM32 for Windows and Azure Active Directory for SQL Client. The biggest improvements in this release are in ASP.NET Core.
Today we’re making the final version of EF Core 2.2 available, alongside ASP.NET Core 2.2 and .NET Core 2.2. This is the latest release of our open-source and cross-platform object-database mapping technology.
EF Core 2.2 RTM includes more than a hundred bug fixes and a few new features:
Spatial data support
Spatial data can be used to represent the physical location and shape of objects.
ML.NET is an open-source and cross-platform framework (Windows, Linux, macOS) which makes machine learning accessible for .NET developers.
ML.NET allows you to create and use machine learning models targeting scenarios to achieve common tasks such as sentiment analysis,