Episode 7: Riding the Python Lightning

In this episode, I dived into non-normal distributions, went from rags to ridges, rode the Python Language Summit lightning, and looked at the ‘GenericML’ package. References: Covsim: An R package for Simulating Non-Normal Data for Structural Equation Models Using Copulas Rags2ridges: A One-stop-L2-shop for Graphical Modeling of High-Dimensional Precision Matrices Transmissibility in Interactive Nanocomposite Diffusion: The Nonlinear Double-Diffusion Model Editorial: Modelling collective motion across scales The Application of the Functional Variable Method for Solving the Loaded Nonlinear Evaluation Equations The derivative of the determinant of a matrix Python 3.11.0b1 is now available The 2022 Python Language Summit: Upstreaming optimisations from Cinder The 2022 Python Language Summit: Performance Improvements by the Faster CPython team The 2022 Python Language Summit: Python in the browser The 2022 Python Language Summit: A per-interpreter GIL The 2022 Python Language Summit: Achieving immortality Fiducial Inference: Fisher’s Great Failure Beta Distribution: Uses, Parameters & Examples Geometric Distribution: Uses, Calculator & Formula Alignment cheatsheet 5 Key Data Visualization Principles Explained – Examples in R Three packages that port the tidyverse to Python How to embed a Shiny app into your blog posts R  packages: biogeom: Biological Geometries GenericML: Generic Machine Learning Inference PMA2:  Penalized Multivariate Analysis