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Project 20: Plan Shuffle Simulator

Data Engineer

Builds on these lessons

Random Permutations
Current Task

Objective

np.random.permutation() returns a new, randomly reordered copy of an array, leaving the original untouched.

Task: seed the generator with 7, then print a randomly shuffled order of three plan names.

index.py
import numpy as np np.random.seed(7) plans = np.array(['Basic', 'Pro', 'Enterprise']) shuffled = np.random.permutation(plans) print(shuffled)

* Hint: Correct characters turn green, incorrect ones turn red.

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