Quiz on Numpy and Pandas

Why is NumPy Faster Than Lists?

• NumPy arrays are stored at one continuous place in memory.

• NumPy arrays are larger than lists.

• NumPy is a newer library than lists.

• NumPy uses more memory than lists.

What is the purpose of slicing in Python?

• To take elements from one given index to another.

• To merge multiple arrays into one.

• To iterate through elements.

• To filter an array.

What does the function sort() do in NumPy?

• It filters an array.

• It sorts a specified array.

• It reshapes an array.

• It combines multiple arrays.

What is Pandas primarily used for?

• Data visualization.

• Data manipulation.

• Data storage.

• Data encryption.

What is a Series in Pandas?

• A 1D labelled array that holds any type of data.

• A 2D labelled array.

• A method for filtering data.

• A function for sorting data.

What is the main advantage of Pandas over Numpy?

• High level of abstraction.

• Faster processing.

• More applicable.

• Less disk space.

What does filtering in NumPy involve?

• Using a boolean index list.

• Sorting elements.

• Reshaping arrays.

• Joining arrays.

What is the purpose of reshaping in NumPy?

• To change the shape of an array.

• To filter an array.

• To sort an array.

• To combine arrays.

What is the method used to access the last row in a dataset?

• dataset.iloc[-1]

• dataset.loc[-1]

• dataset.last()

• dataset[-1]

What is the main disadvantage of Pandas?

• Less applicable.

• More intuitive.

• Faster processing.

• Easier data frame design.