For Microsoft Azure, 2017 will probably be remembered as the year of serverless and edge computing; the two concepts have made their way into just about every appearance by one of its executives and…

How to globalize an application in an agile and simple way

In ASP.NET Core middlewares is much lower concept in the layering than all MVC stuff —views and action results. But sometimes it can be…

Xamarin.Forms 101: Tools for Xamarin Mobile Development | Devlin Duldulao Home Contact Me 639 461 620834 [email protected] Metro Manila, Philippines Home Contact Me </form>Xamarin.Forms 101: Tools for Xamarin Mobile Development November 23, 2017 ByDevlin InVisual Studio Add CommentAre you

Ahmed Elnably joins Scott Hanselman to discuss a sample project, Developer Finder, that was created to showcase how to use Web App for Containers in the context of a multi-tiered application. For more

Alpine support is part of the .NET Core 2.1 release. .NET Core 2.1 images are currently provided at the microsoft/dotnet-nightly repo, including the new Alpine images. .NET Core 2.1 images will be promoted to the microsoft/dotnet repo when released in 2018.

Two years ago, the Orchard community started developing Orchard on .NET Core. After 1,500 commits, 297,000 lines of code, 127 projects, we think it’s time to release a public version, namely Orchard Core Beta 1.

This package is meant for developers that need to port existing .NET Framework code to .NET Core. But before you start porting, you should understand what you want to accomplish with the migration. Just porting to .NET Core because it’s a new .NET implementation isn’t a good enough reason (unless you’re a True Fan). .NET Core is optimized for building highly scalable web applications, running on Windows, macOS or Linux. If you’re building Windows desktop applications, then the .NET Framework is the best choice for you. Take a look at our documentation for more details on how to choose between .NET Core and .NET Framework.

Analyse your nuget dependencies to determine whether they support .NET Standard

Tensor is an exchange type for homogenous multi-dimensional data for 1 to N dimensions. The motivation behind introducing Tensor<T> is to make it easy for Machine Learning library vendors like CNTK, Tensorflow, Caffe, Scikit-Learn to port their libraries over to .NET with minimal dependencies in place. Tensor<T> is designed to provide the following characteristics.