old_contents: # See also examples/example_track/track_meta.py for a longer, commented example
  track = dict(
      author_username='ryanholbrook',
      course_name='Computer Vision',
      course_url='https://www.kaggle.com/ryanholbrook/computer-vision',
  )
  
  TOPICS = [
      ('The Convolutional Classifier', 1),
      ('Convnet Architecture', 2),
      ('Filter, Detect, Condense', 3),
      ('Convolution and Pooling', 4),
      # ('Exploring Convnets', 5),
      ('Transfer Learning', 6),
      ('Data Augmentation', 7),
  ]
  
  
  lessons = [{'topic': topic_name} for topic_name, _ in TOPICS]
  
  
  notebooks = []
  
  for _, i in TOPICS:
      notebooks.append(
          dict(
              filename="tut{}.ipynb".format(i),
              lesson_idx=i-1,
              type='tutorial',
          )
      )
  
  for nb in notebooks:
      nb['dataset_sources'] = [
          "ryanholbrook/stanford-cars-for-learn",
          "ryanholbrook/computer-vision-resources",
      ]
  
new_contents: track = dict(
      author_username='ryanholbrook',
      course_name='Computer Vision',
      course_url='https://www.kaggle.com/ryanholbrook/computer-vision',
  )
  
  TOPICS = [
      'The Convolutional Classifier',
      'Convnet Architecture',
      'Filter, Detect, Condense',
      'Convolution and Pooling',
      'Filters and Features',
      'Transfer Learning',
      'Data Augmentation',
  ]
  
  
  lessons = [{'topic': topic_name} for topic_name in TOPICS]
  
  
  notebooks = []
  
  for i, _ in enumerate(TOPICS):
      notebooks + [
          dict(
              filename="tut{}.ipynb".format(i+1),
              lesson_idx=i,
              type='tutorial',
          ),
          # dict(
          #     filename="ex{}.ipynb".format(i+1),
          #     lesson_idx=i,
          #     type='exercise',
          #     scriptid=____,
          # ),
      ]
  
  for nb in notebooks:
      nb['dataset_sources'] = [
          'ryanholbrook/stanford-cars-for-learn',
          'ryanholbrook/computer-vision-resources',
      ]
      nb['kernel_sources'] =[
          'ryanholbrook/visiontools',
      ]
  
subject: Refactor track_meta