The binomial distribution is a probability distribution that describes the number of successes in a fixed number of independent Bernoulli trials, where each trial has a constant probability of success. In other words, it calculates the probability of getting a certain number of successes in a fixed number of trials. The distribution is characterized by two parameters: the number of trials (n) and the probability of success in each trial (p). The binomial distribution is widely used in statistics and probability theory to model various real-world scenarios, such as coin flips, dice rolls, and success/failure experiments.