Description on python Wrte a program that retrieves data from third party sources and combines it$.$

Requirements $1.$ Ken French Data Library $$ Review Ken French$$s Data Library. $$ Create a Pandas data frame from the $$Fama$/$French $3$ Factors$$ weekly data using the $$TXT$$ file format $$ Create a Pandas data frame from the $$Fama$/$French $3$ Factors$$ daily data using the $$CSV$$ file format $$ These two files should be accessed remotely

$2.$ FRED $$ Create a Pandas data frame with historical consumer price index $($CPI$)$ data. $$ Create a Pandas data frame with historical producer price index$($PPI$)$ data $$ Create a Pandas data frame with historical real gross domestic product $($GDP$)$ data $$ This data should be accessed remotely using the $$fred$$ module we covered in class $$ Reference the St$.$ Louis Fed$$s FRED website to locate the appropriate data series

$3.$ Quandl $$ Print a list of all the tickers that are included in the free sample of the Sharadar Equity Prices data. $$ Create a Pandas data frame using the Sharadar Equity Prices data with historical stock data data for ticker $$NKE$$ Create a Pandas data frame using the Core US Fundamentals Data with historical financial results for ticker $$NKE$$ This data should be access remotely using the $$quandl$$ module we covered in class $$ Reference the Nasdaq Data website to locate the appropriate data series

$4.$ Combining Data $$ Merge the Fama$/$French $3$ factors daily data with the historical stock data for $$NKE$$ Merge the CPI, PPI, and GDP data into a single data frame, ensure that the columns are named such that it is easy to tell what data corresponds to which source $$ Merge the Fama$/$French $3$ factors daily data with the CPI data, use an $$Out Join$$ method