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NumPy Interview Questions and Answers

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Ques 26. How to perform element-wise addition of two NumPy arrays?

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

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Ques 27. Explain the purpose of 'np.concatenate()' in NumPy.

'np.concatenate()' joins a sequence of arrays along an existing axis.

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Ques 28. How to perform matrix multiplication in NumPy?

You can use 'np.matmul()' or the '@' operator. For example, 'result = np.matmul(arr1, arr2)' or 'result = arr1 @ arr2'.

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Ques 29. What is the purpose of 'np.percentile()' in NumPy?

'np.percentile()' calculates the nth percentile of a dataset.

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Ques 30. Explain the use of 'np.unique()' in NumPy.

'np.unique()' returns the unique elements of an array.

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