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distribution random permutation seaborn module normal distribution binomial distribution poisson distribution uniform distribution logistic distribution multinomial distribution exponential distribution chi square distribution rayleigh distribution pareto distribution zipf distribution numpy ufunc ufunc intro ufunc create function ufunc simple arithmetic ufunc rounding decimals ufunc logs ufunc summations ufunc products ufunc differences ufunc finding lcm ufunc finding gcd ufunc trigonometric ufunc hyperbolic ufunc set operations numpy cert numpy certificate quiz exercises numpy editor numpy quiz numpy exercises numpy syllabus numpy study plan numpy tutorial home next learn numpy numpy is a python library numpy is used for working with arrays numpy is short for numerical python learn numpy now become numpy certified get certified with our numpy exam includes a professionally curated study kit to guide you from beginner to exam ready get certified share link copied learning by reading we have created 43 tutorial pages for you to learn more about numpy starting with a basic introduction and ends up with creating and plotting random data sets and working with numpy functions basic introduction getting started creating arrays array indexing array slicing data types copy vs view array shape array reshape array iterating array join array split array search array sort array filter random random intro data distribution random permutation seaborn module normal dist binomial dist poisson dist uniform dist logistic dist multinomial dist exponential dis chi square dist rayleigh dist pareto dist zipf dist ufunc ufunc intro create function simple arithmetic rounding decimals logs summations products differences finding lcm finding gcd trigonometric hyperbolic set operations learning by examples in our try it yourself editor you can use the numpy module and modify the code to see the result example create a numpy array import numpy as np arr np array 1 2 3 4 5 print arr print 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