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NumPy Interview Questions and Answers

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Ques 6. Create a NumPy array from a Python list.

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

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Ques 7. Explain broadcasting in NumPy.

Broadcasting is a powerful mechanism that allows NumPy to work with arrays of different shapes when performing arithmetic operations.

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Ques 8. How to perform element-wise multiplication 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 9. Explain the purpose of np.random.seed() in NumPy.

np.random.seed() is used to initialize the random number generator in NumPy, ensuring reproducibility of random results.

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Ques 10. What is the purpose of np.newaxis in NumPy?

np.newaxis is used to increase the dimension of the existing array by one more dimension when used once.

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