The H0 Distance Network (H0DN) combines multiple local distance indicators (Cepheids, TRGB, SNe Ia, SBF, megamasers, and others) into a single covariance-aware linear system to determine the Hubble constant. The baseline analysis yields H0 = 73.50 +/- 0.81 km/s/Mpc (1.09% precision, 7.1-sigma tension with early universe based inferences that assume LCDM) and demonstrates robust stability across more than 30 systematic variants. This talk will focus on the publicly released analysis code: outlining the linear system of equations and covariance matrix structure underlying the generalized least-squares fit, and demonstrating how the code can be used to reproduce the main results, explore systematic variants, and incorporate new datasets, including a hands-on demonstration.