Excellent article! I would add that for binning, pd.cut works very well and can be used with lists, arrays, series, and dataframes, e.g.:

ages = [10,29,30,50,60,70,90]

agebins = [0,29,60,np.inf]

agelabels = ['young','middle-aged','old']

pd.cut( ages, bins=agebins, labels=agelabels,right=False )