{Docs} Documentation update for debugging this repository using VS Code

.vscode/launch.json

@@ -5,7 +5,7 @@
             "name": "Azure CLI Debug (Integrated Console)",
             "type": "python",
             "request": "launch",
-            "pythonPath": "${config:python.pythonPath}",
+            "pythonPath": "${command:python.interpreterPath}",
             "program": "${workspaceRoot}/src/azure-cli/azure/cli/__main__.py",
             "cwd": "${workspaceRoot}",
             "args": [
@@ -24,7 +24,7 @@
             "type": "python",
             "request": "launch",
             "stopOnEntry": true,
-            "pythonPath": "${config:python.pythonPath}",
+            "pythonPath": "${command:python.interpreterPath}",
             "program": "${workspaceRoot}/src/azure-cli/azure/cli/__main__.py",
             "cwd": "${workspaceRoot}",
             "args": [
@@ -40,7 +40,7 @@
             "name": "Azdev Scripts",
             "type": "python",
             "request": "launch",
-            "pythonPath": "${config:python.pythonPath}",
+            "pythonPath": "${command:python.interpreterPath}",
             "program": "${workspaceRoot}/tools/automation/__main__.py",
             "cwd": "${workspaceRoot}",
             "args": [

doc/configuring_your_machine.md

@@ -45,12 +45,8 @@ The Azure Python CLI projects sources are located on GitHub (https://github.com/
 4.  Open the folder containing the clone of this repository in VS Code
 5. Set the [Python Interpreter](https://code.visualstudio.com/docs/python/environments#_select-and-activate-an-environment) to use as the python.exe located in your virtual environment
     - If your virtual environment's Python Interpreter is not shown, you may need to add the root folder it's located in to the extension's venv path. This will be under File -> Preferences -> Settings -> Python: Venv Path.
-    - You can also create a settings.json file under the .vscode folder and specify the interpreter's path similar to the JSON below
-      ```
-      {
-          "python.pythonPath": "C:\\repo\\env\\Scripts\\python.exe"
-      }
-      ```
+    - You can also use your workspace or use settings.json, or launch.json file to specify the interpreter's path. This approach is detailed in the Environments section of the Python VS Code extension [documentation](https://code.visualstudio.com/docs/python/environments#_choose-a-debugging-environment).
+
 6. Activate your environment and execute the following commands
    1. pip install azdev
    2. azdev setup -c