#     
## Overview
The **`numpy.sinh()` function** in Python computes an input array `x`'s hyperbolic sine, element-wise.

Mathematically:

$sinh(x) = sinhx$

Also:

_sinhx = $\frac{(e^x) - (1/e^x)}{2}$_


## Syntax
```
numpy.sinh(x, /, out=None, *, where=True)
```
## Parameter value
The `numpy.sinh()` function takes the following parameter values:
* **`x`** (required): This represents the input array. 
* **`out`** (optional): This represents the location where the result is stored. 
* **`where`** (optional): This is the condition over which the input is being broadcast. At a given location where this condition is `True`, the resulting array will be set to the `ufunc` result. Otherwise, the resulting array will retain its original value. This is optional.
* **`**kwargs`** (optional): This represents other keyword arguments. This is optional.
## Return value
The `numpy.sinh()` function returns the corresponding hyperbolic sine values of each element in a given array.
## Example


import numpy as np

# creating an array
x = np.array([30, 45, 60, 90, 180])

# taking the hyperbolic sine 
myarray = np.sinh(x)

print(myarray)

## Explanation
* Line 1: We import the `numpy` module.
* Line 4: We create an array, `x`, using the `array()` method.
* Line 7: We implement the `np.sinh()` function on the array. The result is assigned to a variable, `myarray`.
* Line 9: We print the `myarray` variable.

What is the numpy.sinh() function in Python?

Computes input array's hyperbolic sine, element-wise, using numpy.sinh() function in Python.