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Aim

Theory

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Procedure

Simulation

Posttest

References

Feedback

Introduction to NumPy, Arrays and Array Operations

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What is NumPy primarily used for?

a: Web development Explanation

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b: Handling numerical data and scientific computing Explanation

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c: Creating animations Explanation

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d: Database management Explanation

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How do you create a NumPy array?

a: array([1, 2, 3]) Explanation

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b: np.array([1, 2, 3]) Explanation

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c: NumPy.array(1, 2, 3) Explanation

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d: numpy.create([1, 2, 3]) Explanation

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Which operation is used to compute the mean of elements in a NumPy array?

a: np.sum() Explanation

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b: np.mean() Explanation

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c: np.median() Explanation

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d: np.average() Explanation

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What does the slicing syntax `arr[1:3]` do in NumPy?

a: Selects elements 1 and 3. Explanation

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b: Selects elements at indices 1 and 2. Explanation

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c: Selects all elements except at indices 1 and 3. Explanation

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d: Selects elements from index 0 to 3. Explanation

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What function is used to reshape a NumPy array?

a: np.resize() Explanation

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b: np.reshape() Explanation

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c: np.modify() Explanation

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d: np.form() Explanation

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