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NumPy: vectorised maths & statistics — practice questions · JobPrax

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All NumPy topics

NumPy

NumPy: vectorised maths & statistics

Whole-array maths, aggregates and classic analysis formulas.

Your progress0 / 20

Start the first question

1Create an arrayBasic
2Mean, max, minBasic
3Range of numbersBasic
4Boolean filteringBasic
5ReshapeBasic
6Element-wise operationsBasic
7Sum along an axisBasic
8Column meansIntermediate
9Normalise to 0–1Intermediate
10Where: label valuesIntermediate
11Cumulative sumIntermediate
12Percentage changeIntermediate
13Count with a conditionIntermediate
14ArgmaxIntermediate
15Z-scoresAdvanced
16Outliers with IQR InterviewAdvanced
17Moving averageAdvanced
18BroadcastingAdvanced
19Correlation InterviewAdvanced
20Linear trendAdvanced

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Basic0 / 7
Intermediate0 / 7
Advanced0 / 6

NumPy topics

NumPy: creating & inspecting arrays0/20
NumPy: indexing, slicing & masks0/20
NumPy: vectorised maths & statistics0/20
NumPy: reshape, stack & broadcasting0/20
NumPy: random, linear algebra & real analysis0/20
NumPy: practice test0/10