old_contents: #!/usr/bin/python
  
  
  """
      starter code for the validation mini-project
      the first step toward building your POI identifier!
  
      start by loading/formatting the data
  
      after that, it's not our code anymore--it's yours!
  """
  
  import pickle
  import sys
  sys.path.append("../tools/")
  from feature_format import featureFormat, targetFeatureSplit
  
  data_dict = pickle.load(open("../final_project/final_project_dataset.pkl", "r") )
  
  ### add more features to features_list!
  features_list = ["poi", "salary"]
  
  data = featureFormat(data_dict, features_list)
  labels, features = targetFeatureSplit(data)
  
  
  
  ### it's all yours from here forward!  
  
  
  
new_contents: #!/usr/bin/python
  
  
  """
      starter code for the validation mini-project
      the first step toward building your POI identifier!
  
      start by loading/formatting the data
  
      after that, it's not our code anymore--it's yours!
  """
  
  import pickle
  import sys
  sys.path.append("../tools/")
  from feature_format import featureFormat, targetFeatureSplit
  
  data_dict = pickle.load(open("../final_project/final_project_dataset.pkl", "r") )
  
  ### first element is our labels, any added elements are predictor
  ### features. Keep this the same for the mini-project, but you'll
  ### have a different feature list when you do the final project.
  features_list = ["poi", "salary"]
  
  data = featureFormat(data_dict, features_list)
  labels, features = targetFeatureSplit(data)
  
  
  
  ### it's all yours from here forward!  
  
  
  
subject: Improve instructions for Lesson 13 mini-project.