NumPy Interviewfragen und Antworten
Frage 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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Frage 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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Frage 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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Frage 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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Frage 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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Am hilfreichsten laut Nutzern:
- How to install NumPy?
- Create a NumPy array from a Python list.
- What is NumPy?
- What is the difference between 'np.zeros()' and 'np.ones()' in NumPy?
- What is the purpose of 'np.eye()' in NumPy?