C# is a multipurpose language built by Microsoft. This programming language can generally be used for web, desktop, and mobile applications with popular frameworks and tools such as the .NET framework, Xamarin (for mobile applications), and libraries used for data visualization along with machine learning and AI (Although you may want to look into Python as there are extensive libraries such as TensorFlow and PyTorch that work extremely well with data in this area).
In the programming community, there are generally two types of developers, those who hate the Microsoft technology stack and those who thrive in it. Personally, I believe it’s wise to be language agnostic, where you would generally use the framework or language that fits the project description. For example, a butter knife works well when spreading butter on your toast, but you wouldn’t use a butter knife to cut your steak or putting this into the perspective of automobiles a hybrid is excellent in saving gas, but might not be suitable for offroading as a 4-wheel drive SUV is (you get the idea).
Nevertheless, Microsoft has taken steps to adopt open-source software and taking measures to improve the developer community. As GitHub, and Node Package Manager(NPM) is now managed and maintained by Microsoft. Visual Studio Code is also one of the widely used popular text editors to this day, and with the enhanced .NET Core open-source and cross-platform framework, applications are no longer limited to Windows, much of this can run on Linux and Mac OS, and deployment can also be launched to Linux servers.
In this series, we’ll examine some data types, collections, and even build our own application with C# utilizing libraries and frameworks provided by the Microsoft ecosystem.