QUESTION 17 Assume the following array definitions: import numpy as np integers = np.array([[1, 2, 3], [4, 5, 6]]) floats = np.array([0.0, 0.1, 0.2, 0.3, 0.4]) Which of the following statements a), b)...


QUESTION 17<br>Assume the following array definitions:<br>import numpy as np<br>integers = np.array([[1, 2, 3], [4, 5, 6]])<br>floats = np.array([0.0, 0.1, 0.2, 0.3, 0.4])<br>Which of the following statements a), b) or e) is false?<br>O a. The array function determines an array's element type from its argument's elements.<br>O b. You can check the element type with an array's dtype attribute.<br>O c. For performance reasons, NumPy is written in the Java programming language and uses Java's data types.<br>O d. All of the above statements are true.<br>

Extracted text: QUESTION 17 Assume the following array definitions: import numpy as np integers = np.array([[1, 2, 3], [4, 5, 6]]) floats = np.array([0.0, 0.1, 0.2, 0.3, 0.4]) Which of the following statements a), b) or e) is false? O a. The array function determines an array's element type from its argument's elements. O b. You can check the element type with an array's dtype attribute. O c. For performance reasons, NumPy is written in the Java programming language and uses Java's data types. O d. All of the above statements are true.

Jun 11, 2022
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