Reformat Markdown code blocks (#12795)

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>

docs/en/quickstart.md

@@ -220,22 +220,22 @@ For example, users can load a model, train it, evaluate its performance on a val
     from ultralytics import YOLO
 
     # Create a new YOLO model from scratch
-    model = YOLO('yolov8n.yaml')
+    model = YOLO("yolov8n.yaml")
 
     # Load a pretrained YOLO model (recommended for training)
-    model = YOLO('yolov8n.pt')
+    model = YOLO("yolov8n.pt")
 
     # Train the model using the 'coco8.yaml' dataset for 3 epochs
-    results = model.train(data='coco8.yaml', epochs=3)
+    results = model.train(data="coco8.yaml", epochs=3)
 
     # Evaluate the model's performance on the validation set
     results = model.val()
 
     # Perform object detection on an image using the model
-    results = model('https://ultralytics.com/images/bus.jpg')
+    results = model("https://ultralytics.com/images/bus.jpg")
 
     # Export the model to ONNX format
-    success = model.export(format='onnx')
+    success = model.export(format="onnx")
     ```
 
 [Python Guide](usage/python.md){.md-button .md-button--primary}
@@ -259,7 +259,7 @@ To gain insight into the current configuration of your settings, you can view th
         print(settings)
 
         # Return a specific setting
-        value = settings['runs_dir']
+        value = settings["runs_dir"]
         ```
 
     === "CLI"
@@ -280,10 +280,10 @@ Ultralytics allows users to easily modify their settings. Changes can be perform
         from ultralytics import settings
 
         # Update a setting
-        settings.update({'runs_dir': '/path/to/runs'})
+        settings.update({"runs_dir": "/path/to/runs"})
 
         # Update multiple settings
-        settings.update({'runs_dir': '/path/to/runs', 'tensorboard': False})
+        settings.update({"runs_dir": "/path/to/runs", "tensorboard": False})
 
         # Reset settings to default values
         settings.reset()