If one works with time series data, chances are you have spent a significant amount of time accounting for missing records or aggregating data at a particular temporal granularity either via SQL ...

When using python 3.4.3 or 3.5.0 and pandas 0.16.2, this simple example works import pandas as pd import multiprocessing as mp def squareIt(row): return row[0]**2, row[1]**2 df = pd.DataFrame({'a': ...