App Trimming in .NET 5

Trimming is an option as part of publishing self contained apps in .NET Core. This post goes into more detail about the trimming options in .NET 5 including type and member level trimming.
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Trimming is an option as part of publishing self contained apps in .NET Core. This post goes into more detail about the trimming options in .NET 5 including type and member level trimming.
The specification defines many floating point types, including: , , and . Most developers are familiar with (equivalent to in C#) and (equivalent to in C#). They provide a standard format to represent a wide range of values with a precision acceptable for many applications. .NET has always had and and with .NET 5 Preview 7, we've added a ne...
The .NET for Spark team is seeking your feedback to improve the experience of working with big data in .NET.
We’re excited to announce more updates to F# 5 which will go alongside .NET 5 preview 8! We've shipped various updates since the beginning of this year: Today, we're pleased to announce the completion of the F# 5 feature work. There is one minor enhancement planned for the .NET 5 RC, but other than that we are finished with F# 5! From th...
Introduction to the new Analysis Level feature shipping in .NET 5 Preview 8
Entity Framework Core EF Core 5.0 Preview 8 is here with Table-per-type (TPT), table-valued functions support, SQLite table rebuilds for migrations and more.
.NET 5 Preview 8 is now available! Check out all the improvements in ASP.NET Core in this preview update.
Today, we are releasing .NET 5.0 Preview 8. The .NET 5.0 release is now "feature complete", meaning that very nearly all features are in their final form (with the exception of bug fixes still to come). Preview 8 is, appropriately, the last preview. We plan on releasing two go-live release candidates before the final .NET 5.0 release in November. T...
This post describes two new generators that we added to the samples project in the Roslyn SDK github repo. The first generator gives you strongly typed access to CSV data. The second one creates string constants based on Mustache specifications.
ML.NET is an open-source, cross-platform machine learning framework for .NET developers. It enables integrating machine learning into your .NET apps without requiring you to leave the .NET ecosystem or even have a background in ML or data science. ML.NET provides tooling (Model Builder UI in Visual Studio and the cross platform ML.NET CLI) that aut...