What is the primary purpose of NumPy?

To provide an efficient way to perform mathematical operations on large arrays and matrices of numerical data
To create and manipulate NumPy arrays
To import and use NumPy functions in Python code
To import and use NumPy functions in Python code

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How can you create a 1D NumPy array from a list of values?

Use the NumPy function zeros and pass in the desired data type
Use the NumPy function ones and pass in the desired data type
Use the NumPy function empty and pass in the desired data type
Use the NumPy function array and pass in the list or tuple of values

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How can you create a 2D NumPy array from a list of lists?

Use the NumPy function zeros and pass in the desired shape and data type
Use the NumPy function ones and pass in the desired shape and data type
Use the NumPy function empty and pass in the desired shape and data type
Use the NumPy function array and pass in the list of lists

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How can you create a NumPy array of a specific shape and data type using the NumPy function zeros?

Pass in the desired shape as a tuple and the desired data type as a string
Pass in the desired shape as a list and the desired data type as a string
Pass in the desired shape as a tuple and the desired data type as an integer
Pass in the desired shape as a list and the desired data type as an integer

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How can you perform element-wise operations on NumPy arrays using basic arithmetic operators?

By calling the corresponding method of the NumPy array object
By using the NumPy function apply_along_axis
By using the NumPy function apply_over_axes
By using the arithmetic operator directly on the NumPy arrays

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