Visual Studio Code nearly always puts it's IDE files in one place (by design for this purpose I assume), launch or otherwise so make sure to add directory. Pro tip: Different people on your team use different IDEs and they probably don't need your configuration files. Now, as per vlad's answer, you may add any breakpoints you need as per normal visual debuggers, choose which run configuration you want in the top left dropdown menu and you can tap the green arrow to the left to the configuration name to start your program. It'll give you a list to auto generate a configuration for most of the common debug processes out there. You can click the Add Configuration button at the bottom right if you don't see the config template already in the file. You can go here for the extension's own documentation on launch options, with both optional and required attributes. You can go here for more information on the Visual Studio Code file variables you can use to configure your debuggers and paths. The debugger passes these in as though they you had typed: python file.py into your terminal passing each JSON string in the list to the program in order. These are the command line arguments that you pass in to your program.
The ones in the picture are default flags, you can find more flags in the python debugger pages, I'm sure. In case you have installed the Python extension and manually set your interpreter already, you could configure your settings.json file as follows: ". If you want to add the Python path, you could go to File → Preference → Settings, and add the Python path like below: "code-runner.executorMap":
or right click the Output Channel and then click Stop Code Run in the context menu.or press F1 and then select/type Stop Code Run.or click Run Code button in the context menu of file explorer.or click the Run Code button in the editor title menu.or right click the Text Editor and then click Run Code in the editor context menu.or press F1 and then select/type Run Code,.Open the Python code file in Text Editor.There is a much easier way to run Python, and it doesn't need any configuration:
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