It didn't take long for developers to start putting Microsoft's new .NET Core. 2.0 release through its paces in benchmark tests against alternatives.
Red Hat today announced its product portfolio -- including developer tools -- will support the new .NET Core. 2.0 standard released last week by Microsoft.
Update supports .NET Core 2.0/.NET Standard 2.0 scenarios, adds new features and fixes some bugs.
It provides "tasks for Amazon S3, AWS Elastic Beanstalk, AWS CodeDeploy, AWS Lambda and AWS CloudFormation and more," company says.
The open source .NET Standard 2.0 project was finalized today, providing a formal spec for .NET APIs that should be available to developers working with all .NET implementations.
Rider, a new alternative to Visual Studio for developing .NET applications that's based on IntelliJ IDEA and ReSharper, was released to manufacturing by JetBrains.
The Qt Company has updated its Qt Visual Studio Tools extension for C++ development in Microsoft's flagship IDE, offering a new beta version compatible with Visual Studio 2017.
Microsoft's Scott Hanselman is trying to drum up interest in a community project created to provide an integrated terminal for command-line operations from within the Visual Studio IDE.
Microsoft continues to update its Node-ChakraCore project, which started out to expand the reach of Node.js with an open source branch and then changed direction to improve Node.js functionality such as debugging, its No. 1 pain point.
Developers surveyed by Ionic really love Visual Studio Code and like Visual Studio proper, but they're using those tools to mostly target non-Windows platforms.
Those days are long gone, but Microsoft was at one time a notorious anti-open source company. It's turned that notion upside down within a decade, and is now a member of several foundations whose purposes are to steer open source development deep into the cloud.
- By Michael Domingo
With the fall release of Windows 10 Fall Creators Update, developers will be able to get full support for WSL, now that it's no longer labeled a beta service.
- By Michael Domingo
James McCaffrey uses cross entropy error via Python to train a neural network model for predicting a species of iris flower.
- By James McCaffrey