NumPy is a Python module that helps with the interaction with arrays. It also provides functions for working with matrices, Fourier transforms, and linear algebra. Travis Oliphant invented NumPy in 2005. NumPy intends to deliver a 50-fold quicker array object than ordinary Python lists. The array object in NumPy is named ndarray, and it comes with a slew of helper functions to make working with it a breeze. In data research, when speed and resources are critical, arrays are widely employed.

NumPy arrays, unlike lists, are stored in a single continuous location in memory, allowing programs to access and manipulate them quickly. In computer science, this is referred to as locality of reference.

Let’s check the skillset associated with Numpy in Python. Try solving the following questions related to Numpy.

Q. During the reshaping operation, _____ is provided as a dimension, so that the other dimension is calculated automatically
A : Zero
B : One
C : Negative one
D : Infinite

Q. What is the output for the following code?

import numpy as np
dt = dt = np.dtype(‘i4’)
print( dt)
A : int32
B : int64
C : int128
D : int16

Q. Which of the following numpy function will stack 1D arrays as columns into a 2D array?

A : row_stack

B : column_stack

C : com_stack

D : All of the Mentioned

Q. Which of the following Numpy operation is correct?
A : Mathematical and logical operations on arrays.
B : Fourier transforms and routines for shape manipulation.
C : linear algebra Operations
D : All of the above

Q. Which of the following will set the floating-point error callback function or log object?
A : settercall
B : setterstack
C : setter
D : callstack

Q.What will be the output?

import numpy as np
a = np.array([1,2,3,5,8])
b = np.array([0,3,4,2,1])
c = a + b
c = c*a
print (c[2])
A : 7
B : 12
C : 10
D : 21

Q. What is zero() function in numpy use to?

A : make a matrix with first column all 0
B : make a matrix with all 0
C : make a matrix with 0 as diagonal elements
D : All of the above

Q. Methods for boolean in numpy array.Choose the relevant from the following options.

A : sum(), any(), np.type()
B : sum(), any(), all(), np.type()
C : objects(), any()
D : sum(), any(), all()

Q. Wht does Numpy.array(list) do ?
A : It convert array to list
B : It convert list to array
C : It convert array to array
D : Error

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