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pow() in Python
  • Last Updated : 21 Jan, 2021

Python offers to compute the power of a number and hence can make the task of calculating the power of a number easier. It has many-fold applications in day to day programming.

Naive Method to Compute Power : 

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# Python code to demonstrate naive method
# to compute power
n = 1
for i in range(1,5):
    n=3*n
 
print ("The value of 3**4 is : ",end="")
print (n)

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Output: 

The value of 3**4 is : 81

Using Pow() Function

1. float pow(x,y): This function computes x**y. This function first converts its arguments into float and then computes the power. 

Syntax: float pow(x,y)

Parameters : 



x : Number whose power has to be calculated.

y : Value raised to compute power.

Return Value : 

Returns the value x**y in float.

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# Python code to demonstrate pow()
# version 1
 
print ("The value of 3**4 is : ",end="")
 
# Returns 81
print (pow(3,4))

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Output: 

The value of 3**4 is : 81.0

2. float pow(x,y,mod) : This function computes (x**y) % mod. This function first converts its arguments into float and then computes the power. 

Syntax: float pow(x,y,mod)

Parameters : 



x : Number whose power has to be calculated.

y : Value raised to compute power.

mod :  Value with which modulus has to be computed.

Return Value : 

Returns the value (x**y) % mod in float.

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# Python code to demonstrate pow()
# version 2
 
print ("The value of (3**4) % 10 is : ",end="")
 
# Returns 81%10
# Returns 1
print (pow(3,4,10))

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Output: 

The value of (3**4) % 10 is : 1

Implementation Cases in pow() : 

 

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# Python code to discuss negative
# and non-negative cases
 
# positive x, positive y (x**y)
print("Positive x and positive y : ",end="")
print(pow(4, 3))
 
print("Negative x and positive y : ",end="")
# negative x, positive y (-x**y)
print(pow(-4, 3))
 
print("Positive x and negative y : ",end="")
# positive x, negative y (x**-y)
print(pow(4, -3))
 
print("Negative x and negative y : ",end="")
# negative x, negative y (-x**-y)
print(pow(-4, -3))

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Output: 

Positive x and positive y : 64
Negative x and positive y : -64
Positive x and negative y : 0.015625
Negative x and negative y : -0.015625

This article is contributed by Manjeet Singh. If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above.
 

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