In this section, we will discuss the various methods of synthetic numerical data generation. We will also present an algorithm for random number generation using the Poisson distribution and its Python implementation. Furthermore, we will explore different methods for synthetic text data generation.
Python has a module named random that implements various pseudo-random number generators on the basis of various statistical distributions. This module has functions for various types of randomness, such as for integers, for sequences, for random permutations of a list, and to generate a random sample from a predefined population. The Python random module supports random number generation using various statistical distributions, including uniform, normal (Gaussian), lognormal, negative exponential, gamma, and beta distributions. To generate a uniform random angle, Python provides the von Mises...