old_contents: # See also examples/example_track/track_meta.py for a longer, commented example
  track = dict(
      author_username="ryanholbrook",
      course_name="Time Series",
      course_url="https://www.kaggle.com/learn/time-series",
      course_forum_url="https://www.kaggle.com/learn-forum",
  )
  
  TOPICS = [
      "Introduction to Time Series",  # 1
      "Trend",  # 2
      "Seasonality",  # 3
      "Time Series as Features",  # 4
      "Hybrid Models",  # 5
      "Making Forecasts",  # 6
      "Time Series Cross Validation",  # 7
  ]
  lessons = [{"topic": topic_name} for topic_name in TOPICS]
  
  notebooks = [
      dict(filename="tut1.ipynb", lesson_idx=0, type="tutorial"),
      dict(filename="ex1.ipynb", lesson_idx=0, type="exercise", scriptid=0),
      dict(filename="tut2.ipynb", lesson_idx=1, type="tutorial"),
      dict(filename="ex2.ipynb", lesson_idx=1, type="exercise", scriptid=0),
      dict(filename="tut3.ipynb", lesson_idx=2, type="tutorial"),
      dict(filename="ex3.ipynb", lesson_idx=2, type="exercise", scriptid=0),
      dict(filename="tut4.ipynb", lesson_idx=3, type="tutorial"),
      dict(filename="ex4.ipynb", lesson_idx=3, type="exercise", scriptid=0),
      dict(filename="tut5.ipynb", lesson_idx=4, type="tutorial"),
      dict(filename="ex5.ipynb", lesson_idx=4, type="exercise", scriptid=0),
      dict(filename="tut6.ipynb", lesson_idx=5, type="tutorial"),
      dict(filename="ex6.ipynb", lesson_idx=5, type="exercise", scriptid=0),
      #    dict(filename="tut7.ipynb", lesson_idx=6, type="tutorial"),
      #    dict(filename="ex7.ipynb", lesson_idx=5, type="exercise", scriptid=0),
  ]
  for nb in notebooks:
      nb["dataset_sources"] = ["ryanholbrook/ts-course-data"]
  
new_contents: # See also examples/example_track/track_meta.py for a longer, commented example
  track = dict(
      author_username="ryanholbrook",
      course_name="Time Series",
      course_url="https://www.kaggle.com/learn/time-series",
      course_forum_url="https://www.kaggle.com/learn-forum",
  )
  
  TOPICS = [
      "Linear Regression with Time Series",  # 1
      "Trend",  # 2
      "Seasonality",  # 3
      "Time Series as Features",  # 4
      "Hybrid Models",  # 5
      "Machine Learning for Time Series Forecasting",  # 6
  ]
  lessons = [{"topic": topic_name} for topic_name in TOPICS]
  
  notebooks = [
      dict(filename="tut1.ipynb", lesson_idx=0, type="tutorial"),
      dict(filename="ex1.ipynb", lesson_idx=0, type="exercise", scriptid=0),
      dict(filename="tut2.ipynb", lesson_idx=1, type="tutorial"),
      dict(filename="ex2.ipynb", lesson_idx=1, type="exercise", scriptid=0),
      dict(filename="tut3.ipynb", lesson_idx=2, type="tutorial"),
      dict(filename="ex3.ipynb", lesson_idx=2, type="exercise", scriptid=0),
      dict(filename="tut4.ipynb", lesson_idx=3, type="tutorial"),
      dict(filename="ex4.ipynb", lesson_idx=3, type="exercise", scriptid=0),
      dict(filename="tut5.ipynb", lesson_idx=4, type="tutorial"),
      dict(filename="ex5.ipynb", lesson_idx=4, type="exercise", scriptid=0),
      dict(filename="tut6.ipynb", lesson_idx=5, type="tutorial"),
      dict(filename="ex6.ipynb", lesson_idx=5, type="exercise", scriptid=0),
  ]
  for nb in notebooks:
      nb["dataset_sources"] = ["ryanholbrook/ts-course-data"]
  
subject: Rename tutorials 1 and 6