Quiz: NumPy

5 questionsNo time limitPass: 60%+10 XP on first pass

Why NumPy is fast, creating arrays, shapes and dtypes, vectorised maths without loops, broadcasting, indexing and slicing 2-D arrays, boolean masks, and the aggregations every data scientist uses daily.

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Question 1
What does marks.argmax() return?
The largest valueThe position (index) of the largest valueThe averageThe number of elements
Question 2
For a 3×3 array of student scores (rows = students), which gives each student's average?
scores.mean(axis=0)scores.mean(axis=1)scores.mean()scores.sum(axis=0)
Question 3
What does arr[arr > 50] do?
Sets every element above 50 to TrueReturns only the elements greater than 50Deletes elements above 50Counts elements above 50
Question 4
Why are NumPy arrays faster than Python lists for maths?
They use more memoryThey store one data type compactly and run operations in optimised C codeThey are always sortedThey run on the GPU automatically
Question 5
What is broadcasting?
Sending arrays over the networkAutomatically stretching smaller arrays (or a single number) to match a larger array's shapePrinting an arrayCopying an array to every CPU core

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