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Day 2 – Doing Data Science with Raku

This document provides an overview of Raku packages, as well as related documents and presentations, for doing Data Science using Raku. A comprehensive list of references is given.

2 inbound links article en 2025Literate programming AdventData ScienceExploratory Data Analysisliterate programmingMachine LearningModulesRakurakulang
GitHub - black-hole-group/gpumonty: A public, CUDA/C-based relativistic Monte Carlo radiative transfer code accelerated via GPUs. Designed for high-performance spectral modeling of accreting black holes, GPUmonty offloads photon tracking and scattering to achieve a considerable speedup over traditional CPU-based implementations like grmonty.

A public, CUDA/C-based relativistic Monte Carlo radiative transfer code accelerated via GPUs. Designed for high-performance spectral modeling of accreting black holes, GPUmonty offloads photon trac...

1 inbound link object en repository:1133988969
Getting started with parallel MCMC

Introduction to parallel MCMC for Bayesian inference, using C, MPI, the GSL and SPRNG Introduction This post is aimed at people who already know how to code up Markov Chain Monte Carlo (MCMC) algor…

0 inbound links article en BayesBayesianCcodeexampleexamplesGibbs samplerGPUGSLHPCIntelintroductionLAMLinuxMarkov chainMCMCMetropolis-HastingsMonte CarloMPIMPICHOpenMPIparallelPRNGrandomSPRNGtutorialUbuntu
Implicit Runge Kutta and GNU Scientific Library

Introduction These are some very hasty notes on Runge-Kutta methods and IRK2 in particular. I make no apologies for missing lots of details. I may try and put these in a more digestible form but no…

0 inbound links article en HaskellNumerical Methods