The Double Division operator in Python returns the floor value for both integer and floating-point arguments after division.
# A Python program to demonstrate use of # "//" for both integers and floating points print ( 5 / / 2 ) print ( - 5 / / 2 ) print ( 5.0 / / 2 ) |
Output:
2 -3 2.0
The single division operator behaves abnormally generally for very large numbers. Consider the following example.
Examples 1:
# single division print ( 1000000002 / 2 ) # Gives wrong output print ( int ((( 10 * * 17 ) + 2 ) / 2 )) # Gives Correct output print ((( 10 * * 17 ) + 2 ) / / 2 ) |
Output:
500000001.0 50000000000000000 50000000000000001
Example 2:
x = 10000000000000000000006 if int (x / 2 ) = = x / / 2 : print ( "Hello" ) else : print ( "World" ) |
Output:
World
The Output should have been Hello if the single division operator behaved normally because 2 properly divides x. But the output is World because The results after Single Division Operator and Double Division Operator ARE NOT THE SAME.
This fact can be used for programs such as finding the sum of first n numbers for a large n.
n = 10000000000 s1 = int (n * (n + 1 ) / 2 ) s2 = n * (n + 1 ) / / 2 print ( "Sum using single division operator : " , s1) print ( "Sum using double division operator : " , s2) |
Output:
Sum using single division operator : 50000000005000003584 Sum using double division operator : 50000000005000000000
Thus the result found by using the single division operator is Wrong, while the result found by using the double division operator is Correct. This is a huge benefit of Double Division Operator over Single Division Operator in Python.
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