Answer:
The correct option is np.array
Explanation:
Numpy is a library to perform numerical calculation in python. It allows us to create and modify vectors, and make operations on them easily. Numpy arrays are an excellent alternative to python lists. Some of the key advantages of numpy arrays are that they are fast, easy to work with, and offer users the opportunity to perform calculations through full arrays.
To start using numpy, the library must be imported:
import numpy as np
The most common way to create a vector or matrix already initialized is with the np.array function, which takes a list (or list of lists) as a parameter and returns a numpy matrix. The numpy arrays are static and homogeneous typing. They are more efficient in the use of memory.
Example:
list = [25,12,15,66,12.5]
v = np.array (list)
print (v)
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In sinusoidal functions or in waves, "phase" has two different, but closely related, meanings. One is the initial angle of a sinusoidal function at its origin and is sometimes called phase offset or phase difference. Another usage is the fraction of the wave cycle that has elapsed relative to the origin.
It means how fast it can read the disk so if you want faster data transfer you would go for blurry if you really don't care go for the other one
