Python provides different functions and operators in order to calculate the square root of the given number. This number can be positive, negative, zero, real, or complex number. There is also the Numpy library which provides
sqrt() function in order to calculate square root.
Math Module sqrt() Function
The most known and popular function is the
sqrt() function that is provided by the
math module or library. We can just provide the number we want to calculate square root for this function. In the following example, we will import the
math module and then use the sqrt() function.
import math math.sqrt(25) //Result will be 5.0 math.sqrt(9) //Result will be 3.0 math.sqrt(90) //Result will be 9.486832980505138 math.sqrt(900) //Result will be 30.0 math.sqrt(90000) //Result will be 300.0 math.sqrt(49) //Result will be 7.0
Square Root of Zero
Zero is a special number where it can produce different results according to the different operations. When we take the square root of the zero we will get zero as a result.
import math math.sqrt(0) //The result is 0.0 math.sqrt(0.0) //The result is 0.0
Square Root Of Floating-Point Numbers
Floating-point numbers are different from decimal numbers. They provide some floating-point parts which can be confusing while calculating the square root. In this example, we will look at examples of calculating floating-point numbers.
import math math.sqrt(9.9) // Result is 3.146426544510455 math.sqrt(9.0) // Result is 3.0 math.sqrt(9.9225) // Result is 3.15 math.sqrt(99.81) // Result is 9.990495483208027 math.sqrt(111.408025) // Result is 10.555
Square Root of Negative Numbers
The square of any real number can not be negative. So if we try to get the square root of a negative number we will get an error that is related to the math domain as we can see below.
import math math.sqrt(-25) math.sqrt(-0)
Interestingly if we try to get zero as a negative number square root we will get zero. Because zero cannot be positive or negative. For other negative numbers, we will get the
math domain error.
Math Module pow() Function
math module also provides the
pow() function which is used to calculate the square of the given number. There is also
** operator which is the same as
pow() function. We will provide the number and
1/2 as the square root number.
import math math.pow(9,1/2) //The result is 3.0 math.pow(9,0.5) //The result is 3.0 math.pow(99.81,0.5) //The result is 9.990495483208027 math.pow(111.408025,0.5) //The result is 10.555 math.pow(111.408025,1/2) //The result is 10.555
Real or Complex Numbers Square Root
We can also calculate the square root of the real or complex numbers we can use the
cmath library which should be imported before usage. In these examples, we will provide the real numbers like
import cmath cmath.sqrt(1+2j) //The result is (1.272019649514069+0.7861513777574233j) cmath.sqrt(10+2j) //The result is (3.177895453534113+0.3146736620576702j) cmath.sqrt(10+20j) //The result is (4.022479320953552+2.486028939392892j) cmath.sqrt(9+9j) //The result is (3.29605234040343+1.365269581686682j) cmath.sqrt(64+25j) //The result is (8.14584352738277+1.5345249338488343j)
Square Root Calculation with Square Operator
Mathematics is magic where we can express different calculations in different ways. We can use the square operator in order to calculate the square root. The square
** operator is used with the
1/2 number to calculate square root. We can also use
0.5 according to the
1/2 which is the same value with a different presentation.
a = (9)**(1/2) // The result is 3.0 a=(100)**(1/2) // The result is 10.0 a=(64)**(1/2) // The result is 8.0 a=(64)**(0.5) // The result is 8.0 a=(99.81)**(0.5) // The result is 9.990495483208027 a=(111.408025)**(0.5) // The result is 10.555
Numpy sqrt() Function
numpy is a third party library and module which provides calculations about matrix, series, big data, etc. Numpy also provides the sqrt() and pow() functions and we can use these functions to calculate square root.
import numy numpy.sqrt(9) //The result is 3 numpy.pow(9,1/2) //The result is 3