Python Pandas largest number
I was able to overcome by changing the data type from int to float, as doing this gives the answer to 290 ** 15 = 8.629189e+36, which is good enough for my exercise.
I am working on some problem where i have to take 15th power of numbers, when I do it in python console i get the correct output, however when put these numbers in pandas data frame and then try to take the 15th power, i get a negative number. 
Example, 
1456 ** 15 = 280169351358921184433812095498240410552501272576L, however when similar operation is performed in pandas i get negative values. Is there a limit on the size of number which pandas can hold and how can we change this limit.