Showing archive results for December 2018

Dec 7, 2018
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Announcing “30 Days of Microsoft Graph” Blog Series

AlmaH821

Throughout the month of November 2018, we are publishing daily articles (30 total) that aim to introduce developers to Microsoft Graph.  We’ll have content that covers 0-level to 200-level topics.  Each post should take you 5-15 mins to read and try out the sample exercises.  No prior knowledge of Microsoft Graph is required.  We hope that beginner...

Dec 5, 2018
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Visual Studio 2019 Preview 1 now available

AlmaH821

Today, in the Microsoft Connect(); 2018 keynote, Scott Guthrie announced the availability of Visual Studio 2019 Preview 1. This is the first preview of the next major version of Visual Studio. In this Preview, we’ve focused on a few key areas, such as making it faster to open and work with projects stored in git repositories, improving IntelliSense...

Dec 5, 2018
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Announcing .NET Core 3 Preview 1 and Open Sourcing Windows Desktop Frameworks

AlmaH821

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, Visual Studio for Mac and Visual Studio Code.

Dec 5, 2018
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Connect(); 2018 Xamarin Announcements

AlmaH821

Today, at Microsoft Connect(); 2018, we have several exciting announcements about brand new capabilities and foundational improvements in the Xamarin platform driven by your generous feedback.  

Dec 5, 2018
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Announcing .NET Core 2.2

AlmaH821

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.

Dec 5, 2018
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Announcing ML.NET 0.8 – Machine Learning for .NET

AlmaH821

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, issue classification, forecasting, recommendations, fraud detection, image cla...