Using linter from WSL (Ubuntu for Windows) in Visual Studio Code

To use a linter from Windows Subsystem for Linux (WSL), such as Ubuntu for Windows, in Visual Studio Code (VS Code), you need to set up the appropriate configuration in both WSL and VS Code. Here's how you can do it:

1. Install and Set Up Linter in WSL:

   In your WSL environment (Ubuntu for Windows), install the desired linter, such as flake8, pylint, etc., using the package manager (apt-get in the case of Ubuntu).

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   sudo apt-get update
   
   sudo apt-get install flake8
   
   

   Verify that the linter is working correctly by running it in the WSL terminal.

2. Install Visual Studio Code:

   If you haven't already, install Visual Studio Code on your Windows machine.

3. Install "Remote - WSL" Extension in VS Code:

   Open VS Code and install the "Remote - WSL" extension. This extension allows you to work directly with files and tools in your WSL environment from within VS Code.

4. Open a WSL Folder in VS Code:

   In VS Code, press Ctrl + Shift + P to open the command palette and search for "Remote-WSL: Open Folder in WSL." Select the desired folder from your WSL distribution.

5. Configure Linter in VS Code:

   In VS Code, navigate to the Extensions sidebar (Ctrl + Shift + X), search for and install the relevant linter extension, such as "Python" for Python projects.

   Additionally, you can configure the linter settings in your VS Code workspace settings (settings.json). For example, for Python, add the following lines to your settings.json to use the linter from WSL:

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   "python.linting.pylintPath": "/usr/bin/pylint"
   
   

   Replace /usr/bin/pylint with the actual path to the linter executable in your WSL distribution.

6. Start Editing and Linting:

   Once you've opened the WSL folder in VS Code and configured the linter settings, you can start writing code. The linter will use the tools and configuration from your WSL environment to perform linting and provide suggestions.

Remember that you need to have WSL and the required tools (such as Python, the linter, etc.) installed in your WSL environment for this setup to work properly. This approach allows you to leverage the power of WSL from within VS Code while using your preferred linter for code quality checking.