# See also examples/example_track/track_meta.py for a longer, commented example
track = dict(
    author_username='',
)

lessons = [
        dict(
            # By convention, this should be a lowercase noun-phrase.
            topic='exemplar examples',
            ),
]

notebooks = [
    dict(
        filename='tut1.ipynb',
        lesson_idx=0,
        type='tutorial',
        scriptid=1,
        ),
    dict(
        filename='ex1.ipynb',
        lesson_idx=0,
        type='exercise',
        scriptid=1,
        ),
]



track = dict(
    author_username='',
    course_name="Feature Engineering",
    course_url='https://www.kaggle.com/learn/feature-engineering',
    course_forum_url='https://www.kaggle.com/learn-forum/',
)

TOPICS = ["What is Feature Engineering?",         # 1
          "Polynomial and Interaction Features",  # 2
          "Principal Components Analysis",        # 3
          "Feature Hashing",                      # 4
          "Target Encoding",                      # 5
          "Feature Selection",                    # 6
          ]
lessons = [{'topic': topic_name} for topic_name in TOPICS]

notebooks = [
    dict(
        filename='tut1.ipynb',
        lesson_idx=0,
        type='tutorial',
        scriptid=1,
        ),
    dict(
        filename='ex1.ipynb',
        lesson_idx=0,
        type='exercise',
        scriptid=1,
        ),
    dict(
        filename='tut2.ipynb',
        lesson_idx=1,
        type='tutorial',
        scriptid=1,
        ),
    dict(
        filename='ex2.ipynb',
        lesson_idx=1,
        type='exercise',
        scriptid=1,
        ),
    dict(
        filename='tut3.ipynb',
        lesson_idx=2,
        type='tutorial',
        scriptid=1,
        ),
    dict(
        filename='ex3.ipynb',
        lesson_idx=2,
        type='exercise',
        scriptid=1,
        ),
    dict(
        filename='tut4.ipynb',
        lesson_idx=3,
        type='tutorial',
        scriptid=1,
        ),
    dict(
        filename='ex4.ipynb',
        lesson_idx=3,
        type='exercise',
        scriptid=1,
        ),
    dict(
        filename='tut5.ipynb',
        lesson_idx=4,
        type='tutorial',
        scriptid=1,
        ),
    dict(
        filename='ex5.ipynb',
        lesson_idx=4,
        type='exercise',
        scriptid=1,
        ),
    dict(
        filename='tut6.ipynb',
        lesson_idx=5,
        type='tutorial',
        scriptid=1,
        ),
    dict(
        filename='ex6.ipynb',
        lesson_idx=5,
        type='exercise',
        scriptid=1,
        ),
]


for nb in notebooks:
    nb['dataset_sources'] = ['ryanholbrook/fe-course-data']

Update track_meta