There is a big difference in the amount of memory space occupied by basic data types in python and other languages.
import sys a = 100 b = True c = 100L d = 1.1 e ="" f = [] g =() h = {} i = set([]) print " %s size is %d "%(type(a),(a)) print " %s size is %d "%(type(b),(b)) print " %s size is %d "%(type(c),(c)) print " %s size is %d "%(type(d),(d)) print " %s size is %d "%(type(e),(e)) print " %s size is %d "%(type(f),(f)) print " %s size is %d "%(type(g),(g)) print " %s size is %d "%(type(h),(h)) print " %s size is %d "%(type(i),(i)) <type 'int'> size is 12 <type 'bool'> size is 12 <type 'long'> size is 14 <type 'float'> size is 16 <type 'str'> size is 21 <type 'list'> size is 36 <type 'tuple'> size is 28 <type 'dict'> size is 140 <type 'set'> size is 116
The above example of the size of the memory space occupied by the python basic data types is all that I have shared with you, and I hope it will give you a reference, and I hope you will support me more.