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1. What does the following code do? x=20 not np.any([x%i == 0 for i in range(2, x)]) a. Finds whether x is 0 b. Finds
1. What does the following code do?
x=20 not np.any([x%i == 0 for i in range(2, x)])
a. Finds whether x is 0
b. Finds whether x contains 0
c. Finds whether x is even
d. Finds whether x is prime
2.What is the output of this code?
a = np.array([1,2]) b = np.array([3,4,5])
c = b[1:]
b[a] is c
a. True
b. False
c. NaN
d. This code contains an error
3. What is the output of this code?
a = np.array([1,2]) b = np.array([3,4,5]) b[a]
a. array([4, 6, 5])
b. This code contains an error
c. array([4, 5])
d. array([1, 2, 3, 4, 5])
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