For .NET Core 3.0, we’re shipping a brand new namespace called System.Text.Json with support for a reader/writer, a document object model (DOM), and a serializer. In this blog post, I’m telling you why we built it, how it works, and how you can try it.
Today, we are releasing the .NET Core May 2019 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.
We are excited to announce the release of ML.NET 1.0 today. ML.NET is a free, cross-platform and open source machine learning framework designed to bring the power of machine learning (ML) into .NET applications.
Get Started @ http://dot.net/ml
ML.NET allows you to train,
Today, we are announcing .NET Core 3.0 Preview 5. It includes a new Json serializer, support for publishing single file executables, an update to runtime roll-forward, and changes in the BCL. If you missed it, check out the improvements we released in .NET Core 3.0 Preview 4,
Today, we’re announcing that the next release after .NET Core 3.0 will be .NET 5. This will be the next big release in the .NET family.
There will be just one .NET going forward, and you will be able to use it to target Windows,
DockerCon 2019 is being held this week, in San Francisco. We posted a DockerCon 2018 update last year, and it is time to share how we’ve improved the experience of using .NET and Docker together over the last year.
We have a group of .NET Core team members attending the conference again this year.
Today at Spark + AI summit we are excited to announce .NET for Apache Spark. Spark is a popular open source distributed processing engine for analytics over large data sets. Spark can be used for processing batches of data, real-time streams,
I’ve been talking about doing managed heap performance analysis with ETW events for ages because ETW is just such a powerful tool. It has a well defined format so many components, from kernel modes to user mode ones, all emit ETW events which means you can have tools that just know how to parse the event format and correlate them.
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,
Your friendly neighborhood .NET productivity team (aka. Roslyn) focuses a lot on improving the .NET coding experience. Sometimes it’s the little refactorings and code fixes that really improve your workflow. You may have seen many improvements in the previews, but for all of you who were eagerly awaiting the GA release here’s a few features you may enjoy!