old_contents: track = dict(
      author_username='ryanholbrook',
      course_name='Computer Vision',
      course_url='https://www.kaggle.com/ryanholbrook/computer-vision',
  )
  
  TOPICS = [
      'The Convolutional Classifier',
      'Convolution and ReLU',
      'Convolution and Moving Windows',
      'Maximum Pooling',
      'Custom Convnets',
      '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',
          'ryanholbrook/cv-course-models',
      ]
      nb['kernel_sources'] =[
          'ryanholbrook/visiontools',
      ]
  
new_contents: track = dict(
      author_username='ryanholbrook',
      course_name='Computer Vision',
      course_url='https://www.kaggle.com/ryanholbrook/computer-vision',
  )
  
  TOPICS = [
      'The Convolutional Classifier',
      'Convolution and ReLU',
      'Maximum Pooling',
      'Convolution and Moving Windows',
      'Custom Convnets',
      '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',
          'ryanholbrook/cv-course-models',
      ]
      nb['kernel_sources'] =[
          'ryanholbrook/visiontools',
      ]
  
subject: Change lesson order in track_meta.py