Arrays Operations
NumPy arrays not only perform faster, but also support different operations, that are not available for built-in lists.
For example, you can add/subtract/multiply/divide by a certain number all the array elements. Or you can multiply two arrays element-by-element.
123456789# Import the library import numpy as np # Creating two arrays arr1 = np.array([1, 2, 3]) arr2 = np.array([10, 20, 30]) # Perform some arrays operations print(arr1 + 3) print(arr1 * arr2)
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Abschnitt 5. Kapitel 3
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NumPy arrays not only perform faster, but also support different operations, that are not available for built-in lists.
For example, you can add/subtract/multiply/divide by a certain number all the array elements. Or you can multiply two arrays element-by-element.
123456789# Import the library import numpy as np # Creating two arrays arr1 = np.array([1, 2, 3]) arr2 = np.array([10, 20, 30]) # Perform some arrays operations print(arr1 + 3) print(arr1 * arr2)
War alles klar?
Danke für Ihr Feedback!
Abschnitt 5. Kapitel 3
