[Solved] Why does np.random.rand() always generate numbers between 0 and 1? — Ans: Because it samples from a uniform distribution over [0, 1) | NumPy

NumPy - Creating Arrays

Why does np.random.rand() always generate numbers between 0 and 1?

ABecause it generates random bytes converted to floats

BBecause it samples from a uniform distribution over [0, 1)

CBecause it uses a normal distribution centered at 0.5

DBecause it generates integers and divides by 1

Step-by-Step Solution

Solution:

Step 1: Understand np.random.rand distribution
np.random.rand samples from a uniform distribution between 0 (inclusive) and 1 (exclusive).
Step 2: Eliminate incorrect options
It does not generate integers, nor use normal distribution or bytes conversion.
Final Answer:
Because it samples from a uniform distribution over [0, 1) -> Option B
Quick Check:
Uniform distribution explains range [OK]

Quick Trick: np.random.rand uses uniform distribution [OK]

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