PyPi package for modelling Probability distributions
BG-NBD-GammaGamma-CLTV CLTV-Analysis
Saratov State University, CSIT. Discipline "pseudo-random numbers generators" (псевдослучайные генераторы, rus)
Python package for frontier analysis
code for printing stem and leaf plots
By counting the number of people leaving the sauna, simulation is performed to estimate the time spent in the sauna.
Heatmap and contour of Λ(ε, α, κ) = E[X / (1 + X)] − α, where X follows a Gamma(k, θ) distribution. Computed using Gauss–Laguerre quadrature in log-space for numerical stability, with analytic continuation and high-precision special functions via mpmath.
don't look at this for now pls
Generate some random application logs, useful to teach e.g. AWK
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