The term “exponent” in Python refers to two things:
- Increasing the power of a number.
- To reduce zeros, use “e” or “E” to denote large or tiny numbers.
“exp()” is a built-in Python function that is used for calculating the value of the number with having power ‘e”. It is denoted by e^y. The exp() function is used in the “math” library before importing the math library; we cannot use the exp() function. exp() of python returns the exponential value of “y: ey”. The math.exp() return the float value by calculating e**y or e^n. When we enter other values other than the number, it generates an error Type error.
In this example, we have imported the math library first, and then we initialize the variable a, b and c., then print the value of e^a or e**a, e^b, or e**b and e^c or e**c. The math.exp() function takes one argument, which we’re looking for exponential. When we print these values, the result is in the float data type.
a = 4.6
print("Exponential Value of result: ", math.exp(a))
print("Exponential Value of result: ", math.exp(b))
print("Exponential Value of result: ", math.exp(c))
When we run code, we get the following result.
The value of variable x is assigned to a string in this example. Because the value is not even an integer data type, we received a type error message. So in this example, we pass string value as a parameter to the python exp() method.
x = "13"
print("Value of Exponential: ", math.exp(x))
The output of the given an example is:
In Example 3, the expm1() function takes one parameter and gives the value of exp(parameter)-1, which means exponential of the number with a minus “1”. This is an extremely particular procedure that may be found in a lot of mathematical and scientific formulas. The expm1() function gives a more accurate result.
positiveVal = 8
negativeVal = -10
As we see the example, we will get the following result.
In Example 4, first import the math library to perform the exp() function. Initialize the variable value “x”. if/else statement is used to get the output. In if-condition, initialize the variable that is equal to math.exp() and print the variable. In the else-statement, print the condition limit is exceeded.
After that we get the desired output.
x = 200
print("Result is ",result)
print("Initialize value is greater than the limit")
We see the result of math.exp() function as.
In Example 5, we understand the overflow error. The Overflow Error is reported when the output of an arithmetic operation is already out of range. For integers that are outside of a required range, an OverflowError is thrown. Try to handle the code containing the math library and print math.exp() having parameter value. If the parameter value exceeds the limit, an exception call and error message of overflow Exception is displayed. If the parameter value is less than the limit, the else statement calls and prints the success message.
print ("OverFlow Exception is to be Raised.")
print ("Success, program is executed")
The output show after the execution of code is.
In Example 6, we use the NumPy exponential function, which is also called np.exp. Numpy is a python module that deals with 1-D or 2-D arrays. We use the NumPy library instead of the Math library because we can’t access our function without these libraries. So in this example, we call the function with a code np.exp(), and inside the round bracket, a parameter provides input to the function.
x = [7, 2, 9,11,5]
print ("Display Array : ", x)
y = np.exp(x)
print ("We get output of Array function : ", y)
The Output of the given an example is:
In Example 07, we use math.pi and math.e functions. “math” is the library used in every program to get access to the function. “Pi” value in math is 3.14. e value in math is 2.781. After importing the math library, we simply pass math.pi and math.e functions to the parameter of math.exp() function to get exponential floating result value, so here is the code :
“Pi” and “e” have a constant value; that is why we get the same result.
Python provides a math library and several math-related functions. “Exp” is one of these functions. This function is applied in a range of real-world scenarios. You have probably heard of the phrase exponential growth, which is frequently used to describe human population expansion or radioactive decay rates. The natural exponential function can be used to calculate both of these.
Python provides some methods for computing the exponential value. These strategies were taught in this tutorial using simple program code as examples. I hope it will be useful to you in your work.