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Chapter-9 NumPy Basics
Q6.
निम्नलिखित कोड के लिए आउटपुट क्या होगा?

What is the output of the following code?
import numpy as np
a = np.array([1.1, 2, 3])
print(a.dtype)
A. int32
B. float64
C. float
D. None
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Q7.
निम्नलिखित कोड के लिए आउटपुट क्या होगा?

What will be output for the following code?
import numpy as np
a = np.array([11, 2, 3])
print(a.min())
A. 2
B. 1
C. 11
D. 3
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Q8.
Numpy ऐरे की विशेषताएँ क्या हैं?

What are the attributes of numpy array?
A. shape, dtype, ndim
B. objects, type, list
C. objects, non vectorization
D. Unicode and shape
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Q9.
NumPY का मतलब है?

NumPY stands for?
A. Numbering Python
B. Number In Python
C. Numerical Python
D. None of the above
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Q10.
निम्नलिखित कोड का परिणाम क्या है?

What is the output of the following code?
import numpy as np
a = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
print(a.shape)
A. (2, 3)
B. (3, 3)
C. (1,1)
D. None of these
View Answer

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