Generating Random Data with NumPy

NumPy is a powerful Python package for mathematical and statistical computations, including generating random data. It provides tools to create random data from various distributions such as uniform, normal, Poisson, binomial, and exponential distributions. The package also allows setting seeds for reproducibility and combining different distributions to create custom data sets. This versatility makes NumPy essential for tasks like data simulation, synthetic data generation for machine learning, and statistical sampling.