old_contents: import pandas as pd
  
  # TODO: Load up the 'tutorial.csv' dataset
  #
  # .. your code here ..
  
  
  
  # TODO: Print the results of the .describe() method
  #
  # .. your code here ..
  
  
  
  # TODO: Figure out which indexing method you need to
  # use in order to index your dataframe with: [2:4,'col3']
  # And print the results
  #
  # .. your code here ..
  
  
new_contents: import pandas as pd
  import os
  
  os.chdir("../Module1/")
  cwd = os.getcwd()
  print(cwd)
  
  # TODO: Load up the 'tutorial.csv' dataset
  csv_df = pd.read_csv('tutorial.csv', sep=',')
  
  # TODO: Print the results of the .describe() method
  print(csv_df)
  print(csv_df.describe())
  print(csv_df.info())
  print(csv_df.head(3))  # csv_df.iloc[:3, :] OR tail(); default no is 5
  print(csv_df.columns)  # display the name of the columns
  print(csv_df.index)
  print(csv_df.dtypes)  # what data type Pandas assigned each column
  
  
  # TODO: Figure out which indexing method you need to use in order to index your dataframe with: [2:4,'col3']:
  print(csv_df.loc[2:4, 'col3'])  # .ix uses hybrid approach of selecting by column label and column index
  
  
subject: Solve Module2/assignment2