π NumPy Logarithmic Functions NumPy provides a set of vectorized logarithmic functions to perform element-wise logarithmic calculations on arrays. These functions are much faster than using Pythonβs math library with loops. β 1. Natural...
π’ Rounding Decimals in Python Python provides several ways to round numbers to a specific number of decimal places. You can use built-in functions, string formatting, or NumPy for arrays. β 1. Using round()...
ββ Simple Arithmetic in Python Python provides basic arithmetic operators to perform calculations with numbers. These can be used with integers, floats, and even NumPy arrays for vectorized arithmetic. β 1. Basic Arithmetic Operators...
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...
