Interview Questions and Answers

NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with mathematical functions to operate on these arrays.

You can install NumPy using the command 'pip install numpy'.

import numpy as npnmy_list = [1, 2, 3]narr = np.array(my_list)

You can use the attribute 'ndim'. For example, if 'arr' is your array, use 'arr.ndim'.

'np.zeros()' creates an array filled with zeros, while 'np.ones()' creates an array filled with ones.

You can use indices. For example, 'arr[1, 2]' accesses the element in the second row and third column of 'arr'.

You can use the attribute 'shape'. For example, 'arr.shape' returns the shape of 'arr'.

'np.eye()' creates an identity matrix with ones on the main diagonal and zeros elsewhere.

import numpy as npnarr1 = np.array([1, 2, 3])narr2 = np.array([4, 5, 6])nresult = arr1 + arr2

'np.arange()' creates an array with regularly spaced values within a specified range.

You can use 'np.mean()'. For example, 'mean_value = np.mean(arr)'.