track = dict(
    author_username='dansbecker',
)

lessons = [
        dict(topic='How Models Work'),
        dict(topic='Explore Your Data')
]

notebooks = [
    dict(
        filename='tut1.ipynb',
        lesson_idx=0,
        type='tutorial',
	    dataset_sources= ["dansbecker/melbourne-housing-snapshot"],
	    competition_sources=["home-data-for-ml-course"],
        ),
    dict(
        filename='tut2.ipynb',
        lesson_idx=1,
        type='tutorial',
	    dataset_sources= ["dansbecker/melbourne-housing-snapshot"],
	    competition_sources=["home-data-for-ml-course"],
        ),
    dict(
        filename='ex2.ipynb',
        lesson_idx=1,
        type='exercise',
	    dataset_sources= ["dansbecker/melbourne-housing-snapshot"],
	    competition_sources=["home-data-for-ml-course"],
        scriptid=1258954        
    )
]

track = dict(
    author_username='dansbecker',
)

lessons = [
        dict(topic='how models work'),
        dict(topic='exploring your data'),
        dict(topic='building your first machine learning model'),
]

notebooks = [
    dict(
        filename='tut1.ipynb',
        lesson_idx=0,
        type='tutorial',
	    dataset_sources= ["dansbecker/melbourne-housing-snapshot"],
	    competition_sources=["home-data-for-ml-course"],
        ),
    dict(
        filename='tut2.ipynb',
        lesson_idx=1,
        type='tutorial',
	    dataset_sources= ["dansbecker/melbourne-housing-snapshot"],
	    competition_sources=["home-data-for-ml-course"],
        ),
    dict(
        filename='ex2.ipynb',
        lesson_idx=1,
        type='exercise',
	    dataset_sources= ["dansbecker/melbourne-housing-snapshot"],
	    competition_sources=["home-data-for-ml-course"],
        scriptid=1258954,
    ),
    dict(
        filename='tut3.ipynb',
        lesson_idx=2,
        type='tutorial',
	    dataset_sources= ["dansbecker/melbourne-housing-snapshot"],
	    competition_sources=["home-data-for-ml-course"],
        ),
    dict(
        filename='ex3.ipynb',
        lesson_idx=2,
        type='exercise',
	    dataset_sources= ["dansbecker/melbourne-housing-snapshot"],
	    competition_sources=["home-data-for-ml-course"],
        scriptid=1,
    ),
]

Add third lesson and reword lesson topics
Add third lesson and reword lesson topics

  track = dict(
      author_username='dansbecker',
  )
  
  lessons = [
-         dict(topic='How Models Work'),
+         dict(topic='how models work'),
-         dict(topic='Explore Your Data')
+         dict(topic='exploring your data'),
+         dict(topic='building your first machine learning model'),
  ]
  
  notebooks = [
      dict(
          filename='tut1.ipynb',
          lesson_idx=0,
          type='tutorial',
  	    dataset_sources= ["dansbecker/melbourne-housing-snapshot"],
  	    competition_sources=["home-data-for-ml-course"],
          ),
      dict(
          filename='tut2.ipynb',
          lesson_idx=1,
          type='tutorial',
  	    dataset_sources= ["dansbecker/melbourne-housing-snapshot"],
  	    competition_sources=["home-data-for-ml-course"],
          ),
      dict(
          filename='ex2.ipynb',
          lesson_idx=1,
          type='exercise',
  	    dataset_sources= ["dansbecker/melbourne-housing-snapshot"],
  	    competition_sources=["home-data-for-ml-course"],
-         scriptid=1258954        
+         scriptid=1258954,
-     )
+     ),
+     dict(
+         filename='tut3.ipynb',
+         lesson_idx=2,
+         type='tutorial',
+ 	    dataset_sources= ["dansbecker/melbourne-housing-snapshot"],
+ 	    competition_sources=["home-data-for-ml-course"],
+         ),
+     dict(
+         filename='ex3.ipynb',
+         lesson_idx=2,
+         type='exercise',
+ 	    dataset_sources= ["dansbecker/melbourne-housing-snapshot"],
+ 	    competition_sources=["home-data-for-ml-course"],
+         scriptid=1,
+     ),
  ]
  
Add third lesson and reword lesson topics
## Code Before:
track = dict(
    author_username='dansbecker',
)

lessons = [
        dict(topic='How Models Work'),
        dict(topic='Explore Your Data')
]

notebooks = [
    dict(
        filename='tut1.ipynb',
        lesson_idx=0,
        type='tutorial',
	    dataset_sources= ["dansbecker/melbourne-housing-snapshot"],
	    competition_sources=["home-data-for-ml-course"],
        ),
    dict(
        filename='tut2.ipynb',
        lesson_idx=1,
        type='tutorial',
	    dataset_sources= ["dansbecker/melbourne-housing-snapshot"],
	    competition_sources=["home-data-for-ml-course"],
        ),
    dict(
        filename='ex2.ipynb',
        lesson_idx=1,
        type='exercise',
	    dataset_sources= ["dansbecker/melbourne-housing-snapshot"],
	    competition_sources=["home-data-for-ml-course"],
        scriptid=1258954        
    )
]

## Instruction:
Add third lesson and reword lesson topics
## Code After:
track = dict(
    author_username='dansbecker',
)

lessons = [
        dict(topic='how models work'),
        dict(topic='exploring your data'),
        dict(topic='building your first machine learning model'),
]

notebooks = [
    dict(
        filename='tut1.ipynb',
        lesson_idx=0,
        type='tutorial',
	    dataset_sources= ["dansbecker/melbourne-housing-snapshot"],
	    competition_sources=["home-data-for-ml-course"],
        ),
    dict(
        filename='tut2.ipynb',
        lesson_idx=1,
        type='tutorial',
	    dataset_sources= ["dansbecker/melbourne-housing-snapshot"],
	    competition_sources=["home-data-for-ml-course"],
        ),
    dict(
        filename='ex2.ipynb',
        lesson_idx=1,
        type='exercise',
	    dataset_sources= ["dansbecker/melbourne-housing-snapshot"],
	    competition_sources=["home-data-for-ml-course"],
        scriptid=1258954,
    ),
    dict(
        filename='tut3.ipynb',
        lesson_idx=2,
        type='tutorial',
	    dataset_sources= ["dansbecker/melbourne-housing-snapshot"],
	    competition_sources=["home-data-for-ml-course"],
        ),
    dict(
        filename='ex3.ipynb',
        lesson_idx=2,
        type='exercise',
	    dataset_sources= ["dansbecker/melbourne-housing-snapshot"],
	    competition_sources=["home-data-for-ml-course"],
        scriptid=1,
    ),
]
