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NumPy: random, linear algebra & real analysis — practice questions · JobPrax

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All NumPy topics

NumPy

NumPy: random, linear algebra & real analysis

Simulations, matrices and business problems solved with arrays.

Your progress0 / 20

Start the first question

1Roll dice with a seedBasic
2Random numbers between 0 and 1Basic
3Shuffle the presentation orderBasic
4Pick lucky winnersBasic
5Total bill with a dot productBasic
6Revenue and cost per storeIntermediate
7Solve for the pricesIntermediate
8Simulate delivery timesIntermediate
9Quartiles of daily salesIntermediate
10Count days per sales bandIntermediate
11Label days by bandIntermediate
12Weighted average priceIntermediate
13Monte Carlo: chance of a high rollAdvanced
14Compound growth planAdvanced
15Drawdown of a stockAdvanced
16When to reorder stockAdvanced
17Subject correlation tableAdvanced
18Fit a model with least squaresAdvanced
19Most similar customerAdvanced
20ABC analysis of productsAdvanced

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Basic0 / 5
Intermediate0 / 7
Advanced0 / 8

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