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Onyejiaku Theophilus Chidalu

Grokking Modern System Design Interview for Engineers & Managers

Ace your System Design Interview and take your career to the next level. Learn to handle the design of applications like Netflix, Quora, Facebook, Uber, and many more in a 45-min interview. Learn the RESHADED framework for architecting web-scale applications by determining requirements, constraints, and assumptions before diving into a step-by-step design process.

The ** numpy.cosh() function** in Python is used to compute, element-wise, the hyperbolic cosine of an input array

`x`

.Mathematically:

Cosh(x) = $\frac{(e^x) + (1/e^x)}{2}$

```
numpy.cosh(x, /, out=None, *, where=True)
```

The `numpy.cosh()`

function takes the following parameter values:

: This represents the input array. It is required for the function to work.`x`

: This represents a location where the result is stored. It is an optional parameter value.`out`

(optional): This is the condition over which the input is broadcast. At a given location where this condition is`where`

`True`

, the resulting array will be set to the ufunc result. Otherwise, the resulting array will retain its original value. This is an optional parameter value.`**kwargs`

: This represents other keyword arguments. This is also an optional parameter value.

The `numpy.cosh()`

function returns the corresponding hyperbolic cosine values of each element in a given array.

import numpy as np # creating an array x = np.array([30, 45, 60, 90, 180]) # taking the hyperbolic cosine myarray = np.cosh(x) print(myarray)

Implementing the numpy.cosh() function

**Line 1**: We import the`numpy`

module.**Line 4**: We create an array`x`

, using the`array()`

method.**Line 7**: We implement the`np.cosh()`

function on the array. Then, we assign the result to a variable called`myarray`

.**Line 9**: We print the variable`myarray`

to the console.

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Onyejiaku Theophilus Chidalu

Grokking Modern System Design Interview for Engineers & Managers

Ace your System Design Interview and take your career to the next level. Learn to handle the design of applications like Netflix, Quora, Facebook, Uber, and many more in a 45-min interview. Learn the RESHADED framework for architecting web-scale applications by determining requirements, constraints, and assumptions before diving into a step-by-step design process.

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