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Microsoft Learn is a library of technical documentation and training for end users, developers, and IT professionals who work with Microsoft products. Microsoft Learn was introduced in September 2018. [1] In 2022, Microsoft Docs, the technical documentation library that had replaced MSDN and TechNet in 2016, was moved to Microsoft Learn. [2] [3]
Visual Basic (VB), originally called Visual Basic .NET (VB.NET), is a multi-paradigm, object-oriented programming language, implemented on .NET, Mono, and the .NET Framework. Microsoft launched VB.NET in 2002 as the successor to its original Visual Basic language, the last version of which was Visual Basic 6.0.
The .NET platform (pronounced as "dot net") is a free and open-source, managed computer software framework for Windows, Linux, and macOS operating systems. [4] The project is mainly developed by Microsoft employees by way of the .NET Foundation and is released under an MIT License.
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The website offers dozens of free, self-paced tutorials in technology, Microsoft Office, work and career, reading, math, and everyday life. [3] [4] All tutorials can be accessed with no registration required, but users can also create a free edu.GCFGlobal.org account to track their learning history and create transcripts of completed tutorials. [5]
ASP.NET is a server-side web-application framework designed for web development to produce dynamic web pages. It was developed by Microsoft to allow programmers to build dynamic web sites , applications and services .
JScript .NET is a .NET programming language developed by Microsoft.. The primary differences between JScript and JScript .NET can be summarized as follows: . Firstly, JScript is a scripting language, and as such programs (or more suggestively, scripts) can be executed without the need to compile the code first.
ML.NET is a free software machine learning library for the C# and F# programming languages. [4] [5] [6] It also supports Python models when used together with NimbusML.The preview release of ML.NET included transforms for feature engineering like n-gram creation, and learners to handle binary classification, multi-class classification, and regression tasks. [7]