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hello everyone in this lesson were going to learn about how to deal with dates in python now in the last two lessons we learned a variety of methods for dealing with text data and numeric data but many data sets also contain dates that dont fit nicely into either category common date formats can include both numbers and text to specify months and days getting dates into a friendly format and extracting some features from dates like the month or year to create new variables are common data pre-processing steps i prepared some fake date data to use in this lesson so lets go ahead and load in some packages and then read that data set and just look at what some different date formats might look like so you can see in this data set ive made four different date columns that are in different formats so we have one that is the month day year day month year a date time format where the day and month are actually written out as abbreviations and theres a time associated with it and then a
