Comparison of marginal cosmological parameter posterior distributions derived with Commander3 and Python for a simulation with uniform noise and a 10% constant latitude mask. The total number of independent samples produced by the two codes is 𝒪(10²), which accounts for the Markov chain correlation length of the algorithm; the Monte Carlo uncertainty due to a finite number of samples is therefore significant.