#pull financial data from web using pandas_datareader from pandas_datareader.data import DataReader #package for data and time functionality from datetime import date #pull financial data from web using pandas_datareader from pandas_datareader.data import DataReader

#pull financial data from web using pandas_datareader
from pandas_datareader.data import DataReader

#package for data and time functionality
from datetime import date

#pull financial data from web using pandas_datareader
from pandas_datareader.data import DataReader

#package for data and time functionality
from datetime import date
start = date(2015,1,1)
end = date(2019,9,30)

ticker = "GOOG"
data_source = "google"

stock_data = DataReader(ticker, data_source, start,end)
end = date(2019,9,30)

ticker = "GOOG"
data_source = "google"

stock_data = DataReader(ticker, data_source, start,end)

#package for data and time functionality from datetime import date start = date(2015,1,1) end = date(2019,9,30) ticker = "GOOG" data_source = "google" stock_data = DataReader(ticker, data_source, start,end) end = date(2019,9,30) ticker = "GOOG" data_source = "google" stock_data = DataReader(ticker, data_source, start,end)

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