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Random Sample
of Array Algorithm
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#coding #python #numpy Random numbers in NumPy are useful for simulations, modeling, applying random transformations, and testing purposes. rng = np.random.default_rng() print(rng.integers(low=1, high=7, size=(3, 4))) # 3x4 array of Ints np.random.seed() print(np.random.uniform(low=-1, high=1, size=(3, 2))) # floats between 2 values # Shuffle ...
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