π οΈ Creating Your Own ufunc in NumPy NumPy allows you to create custom universal functions (ufuncs), which can then operate element-wise on NumPy arrays just like built-in ufuncs.There are two main ways: Using np.vectorize()...
π’ NumPy Universal Functions (ufuncs) Universal functions (ufuncs) in NumPy are vectorized functions that operate element-wise on arrays.They are highly optimized, fast, and avoid explicit Python loops. β 1. Types of ufuncs Arithmetic ufuncs...
π Zipf Distribution in Python The Zipf distribution is a discrete probability distribution that models ranked data, where the frequency of an item is inversely proportional to its rank.It appears in linguistics, social networks,...
π Pareto Distribution in Python The Pareto Distribution is a heavy-tailed continuous probability distribution often used in economics, finance, and social sciences.It is famous for modeling wealth distribution, income, or city sizes, where a...
π Rayleigh Distribution in Python The Rayleigh distribution is a continuous probability distribution often used in signal processing, communications, and reliability analysis. It describes the magnitude of a vector with two independent, normally distributed...
π Chi-Square (ΟΒ²) Distribution in Python The Chi-Square distribution is widely used in statistics, especially for hypothesis testing, goodness-of-fit tests, and variance analysis. It describes the distribution of a sum of squared independent standard...
π Exponential Distribution in Python The Exponential Distribution models the time between independent events that occur at a constant rate.It is closely related to the Poisson Distribution, which models the number of events in...
π² Multinomial Distribution in Python The Multinomial Distribution generalizes the binomial distribution to more than two outcomes per trial.It models the number of occurrences of each outcome in a fixed number of independent trials....
π Logistic Distribution in Python The Logistic Distribution is similar to the normal distribution but has heavier tails. Itβs often used in logistic regression, population growth models, and machine learning. β 1. Characteristics of...
π² Uniform Distribution in Python The Uniform Distribution generates random numbers that are equally likely to occur within a specified range. It is widely used in simulations, random sampling, and scenarios where every outcome...
