Practice Numpy (numerical Python) (9.2.1) - Data Analysis using Python

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9 questions

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2 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is the command to create a NumPy array with values [5, 6, 7]?
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Look for the function that starts with 'np.'
Question 2.
How do you find the mean of an array in NumPy?
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What function can we use to compute averages?
3Question 3.
What does NumPy stand for?
- Numerical Python
- Native Python
- Number Processing
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Think about the purpose of the library.
4Question 4.
True or False: NumPy is slower than Python lists for numerical calculations.
- True
- False
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Recall the efficiency of NumPy.
Question 5.
Design a NumPy array to represent a 3x3 matrix of integers and calculate its determinant.
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Think about how to create a 2D array, then look for determinant functions in NumPy.
Question 6.
Create a script that generates an array of 20 random numbers and computes both the mean and the standard deviation using NumPy.
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Consider how to use the random module in NumPy along with the statistical methods.

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