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SciPy MCQ
1 .
In SciPy, determinant is computed using?

Correct Answer : Option (A) :   det()

Explanation : In SciPy, this is computed using the det() function.

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2 .
What do we call an array where the content is the opposite of 'Sparse Data'?

Correct Answer : Option (C) :   Dense Array

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3 .
One of these methods is used when working with triangulation, which one?

Correct Answer : Option (B) :   Delaunay()

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4 .
When running a Normality Test, what would be the skew value of a 'normal data distribution'?

Correct Answer : Option (D) :   0

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5 .
When working with the csgraph modul, what is a correct method to find all connected components in a matrix?

Correct Answer : Option (B) :   connected_components()

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6 .
When working with significantance testing, the 'Alpha value' is best described as :

Correct Answer : Option (A) :   The level of significance.

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7 .
What relation is consider between Eigen value (lambda), square matrix (A) and Eign vector(v)?

Correct Answer : Option (C) :   Av = lambda*v

Explanation :

We can find the Eigen values (lambda) and the corresponding Eigen vectors (v) of a square matrix (A) by considering the following relation.

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8 .
The number of axes is called as _____.

Correct Answer : Option (C) :   rank

Explanation : Dimensions are called as axes. The number of axes is called as rank.

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9 .
Which explanation is correct for a 'Dense Array'?

Correct Answer : Option (B) :   Most of the values are not zero

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10 .
What is a correct syntax to return the number of 'not zero' values in an array?

Correct Answer : Option (D) :   count_nonzeros()

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