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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.spacing()**** function** in NumPy is used to compute the distance between an input value `x`

and the nearest adjacent number.

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

The syntax for the numpy.spacing() function

The `numpy.spacing()`

function takes the following parameter values.

: This represents the input value whose spacing is to be returned and is a required parameter.**x**

: This represents the location where the result is stored and is an optional parameter.**out**

: This is the condition over which the input is being broadcasted. 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.

: This represents other keyword arguments and is an optional parameter.****kwargs**

It returns a scalar value which represents the distance between an input value `x`

and the nearest adjacent number.

import numpy as np# implementing the numpy.spacing() functionprint(np.spacing(5))

Implementing the numpy.spacing() function

- Line 1: We import the
`numpy`

module. - Line 3: We implement the
`numpy.spacing`

function to determine the distance between`5`

and the nearest adjacent number. We print the result 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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