nested for loop - map of maps exercise

nested_for_loop.py

strategies = ['strategy_1', 'strategy_2', 'strategy_3', 'strategy_4']

aggregation_types =
  [
     ['account', 'ticker'],
     ['account', 'strategy', 'ticker'],
     ['account', 'strategy', 'strategyLevel', 'ticker']
  ]
  
  
if __name__ == '__main__':
  
  dfTotal = pd.DataFrame()
  
  for strat in strategies:  
    account_list = get_accounts(strat)
    
    for agg in aggregation_types:
      
      df = run_risk_model(accounts = account_list,
                          strategy = strat,
                          aggregation = agg,
                          benchmark = 'SPY'
                         )
      
      dfTotal = dfTotal.append(df, ignore_index = True)
  
  
  # finally upload all data to mysql database
  uploadToDatabase(dfTotal)