xUnit VS Visual Studio Code

Several well-known NuGet packages such as xUnit.net, FluentAssertions, StyleCop, Entity Framework Core, and others include by default a significant number of Roslyn analyzers. They help you adhere to the conventions and best practices of these libraries.

Most of my rules apply to document types, so let's build some tests for document types. We start by creating a new test class and a new test function and getting a list of all document types. This test is created using xUnit and FluentAssertions:

xUnit -> https://xunit.net/

.NET / xUnit / NUnit / MSTest

This library extends the traditional assertions provided by frameworks like MSTest, NUnit, or XUnit by offering a more extensive set of extension methods. Fluent Assertions supports a wide range of types like collections, strings, and objects and even allows for more advanced assertions like throwing exceptions.

You can verify the functionality of this validator by writing the following tests (using xUnit):

The git repo has other runners. AssemblyRunner appears to be the best fit for an already compiled tests project, but there is a runner that can be wrapped into an MSBuild task for example.

At this point you're going to see a familiar screen asking you to select a project. Here we're looking for a test project. By default, Visual Studio gives you access to 3 different testing frameworks based on your choice of project. These are MSTest, XUnit and NUnit. Ultimately, all 3 of these testing accomplish the same thing, and I've worked with all of them at various points in my career. The difference is mainly in exact syntax and documentation. Although, it's generally considered that MSTest is a little "older" than NUnit or XUnit, so I tend to see it less now. For the purposes of this demo, I'm going to go with NUnit:

xUnit unit tests tool

Use a testing framework: Utilize a testing framework like NUnit, xUnit, or MSTest to create, organize, and run your tests. These frameworks provide a consistent way to write tests, generate test reports, and integrate with continuous integration tools.

Visual Studio Code (VS Code): Developed by Microsoft, VS Code is a lightweight yet powerful IDE with extensive support for Python development through extensions. It offers features like IntelliSense, debugging, and built-in Git integration.

In VSCode for example this can be easily done by adding the following .vscode/launch.json file:

I had a near-identical experience. I looked into switching in 2019 and ran into this 2016 bug which was a showstopper for me. Fixed it myself, grand total 4 line diff. https://github.com/microsoft/vscode/issues/10643

When working in Visual Studio Code (VS Code), always create a new Python file for your project.

Code Editor: Choose a code editor like Visual Studio Code that offers good support for web technologies and extensions for PWA development.

When working in Visual Studio Code (VS Code), create a new Python file for our music player project. It's helpful to have separate files for different parts of your project.

https://github.com/microsoft/vscode/forks

27,000 people seem to have done so.

Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python.

I was doing it all wrong, designing and developing on the fly, using the same tool - VScode; Making one step forward and ten back when I mess up with good code while trying to get rid of the bad. I had gotten away with it for three pages, but it had finally caught up with me.