using meanmedianand mode in python let' start doing some real coding in python and see how you compute the meanmedianand mode using python in an ipython notebook file so go ahead and open up the fbo fejbo pefjqzoc file from the data files for this section if you' like to follow alongwhich definitely encourage you to do if you need to go back to that earlier section on where to download these materials fromplease go do thatbecause you will need these files for the section let' dive incalculating mean using the numpy package what we're going to do is create some fake income datagetting back to our example from the previous section we're going to create some fake data where the typical american makes around $ , year in this examplewe're going to say that' distributed with normal distribution and standard deviation of , all numbers are completely made upand if you don' know what normal distribution and standard deviation means yetdon' worry ' going to cover that little later in the but just want you to know what these different parameters represent in this example it will make sense later on in our python notebookremember to import the numpy package into pythonwhich makes computing meanmedianand mode really easy we're going to use the jnqpsu ovnqzbtoq directivewhich means we can use oq as shorthand to call ovnqz from now on then we're going to create list of numbers called jodpnft using the oqsboepnopsnbm function jnqpsuovnqzbtoq jodpnft oqsboepnopsnbm oqnfbo jodpnft the three parameters of the oqsboepnopsnbm function mean want the data centered around with standard deviation of and want python to make data points in this list