.NET Blog

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Windows Forms Designer for .NET Core Released

Today we're happy to announce that the Windows Forms designer for .NET Core projects is now available as a preview in Visual Studio 2019 version 16.6! We also have a newer version of the designer available in Visual Studio 16.7 Preview 1! (image) Don't forget to enable the designer in Tools > Options > Environment > ...

ASP.NET Core updates in .NET 5 Preview 4

.NET 5 Preview 4 is now available and is ready for evaluation! .NET 5 will be a current release. Get started To get started with ASP.NET Core in .NET 5.0 Preview4 install the .NET 5.0 SDK. If you're on Windows using Visual Studio, we recommend installing the latest preview of Visual Studio 2019 16.6. If you're on macOS, we recommend ...

Introducing .NET Multi-platform App UI

You can build anything with .NET. It's one of the main reasons millions of developers choose .NET as the platform for their careers, and companies invest for their businesses. With .NET 5 we begin our journey of unifying the .NET platform, bringing .NET Core and Mono/Xamarin together in one base class library (BCL) and toolchain (SDK). As ...

Announcing .NET 5 Preview 4 and our journey to one .NET

.NET 5 is the next version and future of .NET. We are continuing the journey of unifying the .NET platform, with a single framework that extends from cloud to desktop to mobile and beyond. Looking back, we took the best of .NET Framework and put that into .NET Core 3, including support for WPF and Windows Forms. As we continue the journey, we ...

.NET Core May 2020 Updates – 2.1.18 and 3.1.4

Today, we are releasing the .NET Core May 2020 Update. These updates contain security and reliability fixes. See the individual release notes for details on updated packages. NOTE: If you are a Visual Studio user, there are MSBuild version requirements so use only the .NET Core SDK supported for each Visual Studio version. Information ...

Using ML.NET for deep learning on images in Azure

This post will show you how to train a custom image classification model in Azure to categorize flowers using ML.NET Model Builder. Then, you can leverage your existing .NET skills to consume the trained model inside a C# .NET Core console application. Best of all, little to no prior machine learning knowledge is required.