ML.NET is an open-source and cross-platform machine learning framework (Windows, Linux, macOS) for .NET developers. Using ML.NET, developers can leverage their existing tools and skillsets to develop and infuse custom AI into their applications by creating custom machine learning models for common scenarios like Sentiment Analysis,

The most significant change in F# 4.6, now available with .NET Core 2.2, is the introduction of anonymous record types, which simplify the use of records in a number of contexts. Additionally, the F# compiler chain in Visual Studio 2019 has improved performance for medium-to-large size projects in several areas.

Learn to interact with Azure services through code

Microsoft announced the next version of PowerShell Core this week. The next version will be PowerShell 7 and not PowerShell Core 6.3 as many expected.

See what is new in the Visual Studio Code March 2019 Release (1.33)

This article is the first of a multi-part series on building console applications in .Net Core.

See Visual Studio 2019 in action building modern, cross-platform web apps using ASP.NET Core 3.0 Preview.Visual Studio 2019 in action building modern, cross-...

See how Visual Studio 2019 helps you develop, test and troubleshoot cloud applications with ease. We’ll show you how to use these tools to the fullest when b...

SafeHandle / CriticalHandle / SafeBuffer / derived types I feel I’m going to open the Pandora’s box for you. Let’s talk about special types: SafeHandle, Criti...

I haven’t really been hiding this, but I apparently need to be more clear that I do not intend to do any further development work on StructureMap other than trying to keep up with pull reques…