In Python, the exponential function refers to raising a number to a given power. The exponential operation is typically denoted using the `**`

operator. When you raise a number to a power, you are essentially multiplying the number by itself a certain number of times.

For example, if you want to calculate 2 raised to the power of 3, you would write `2 ** 3`

, which yields the result 8. This means that 2 multiplied by itself three times gives you the value of 8.

In Python, you can calculate the exponential of a number using the `**`

operator or the `math.exp()`

function from the `math`

module. Here are examples of both methods:

**Using the ** operator.**

```
result = base ** exponent
```

`base`

represents the base number that you want to raise to a power.`exponent`

represents the power to which the base is raised.

**Using the math.exp() function:**

```
import math
result = math.exp(x)
```

`math`

is the module that contains the exponential function.`x`

is the number for which you want to calculate the exponential value.`math.exp(x)`

calculates the exponential value of`x`

.- The result is stored in the
`result`

variable.

## Python Exponential example

Here’s an example that demonstrates both the exponential operator `**`

and the `math.exp()`

function to calculate exponential values:

```
import math
# Using the ** operator
base = 2
exponent = 3
result1 = base ** exponent
# Using the math.exp() function
x = 2
result2 = math.exp(x)
# Printing the results
print("Using ** operator:", result1)
print("Using math.exp() function:", result2)
```

**Output:**

n this code, we first import the `math`

module to use the `math.exp()`

function. Then, we calculate the exponential value of 2 using both the `**`

operator (`result1`

) and the `math.exp()`

function (`result2`

). Finally, we print both results to the console.

Do comment if you have any doubts or suggestions on this Python basic topic.

Note:IDE: PyCharm 2021.3.3 (Community Edition)Windows 10

Python 3.10.1All

Python Examples are in Python 3, so Maybe its different from python 2 or upgraded versions.