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.
Covsim: An R package for Simulating Non-Normal Data for Structural Equation Models Using CopulasRags2ridges: A One-stop-L2-shop for Graphical Modeling of High-Dimensional Precision MatricesTransmissibility in Interactive Nanocomposite Diffusion: The Nonlinear Double-Diffusion ModelEditorial: Modelling collective motion across scalesThe Application of the Functional Variable Method for Solving the Loaded Nonlinear Evaluation EquationsThe derivative of the determinant of a matrixPython 3.11.0b1 is now availableThe 2022 Python Language Summit: Upstreaming optimisations from CinderThe 2022 Python Language Summit: Performance Improvements by the Faster CPython teamThe 2022 Python Language Summit: Python in the browserThe 2022 Python Language Summit: A per-interpreter GILThe 2022 Python Language Summit: Achieving immortalityFiducial Inference: Fisher’s Great FailureBeta Distribution: Uses, Parameters & ExamplesGeometric Distribution: Uses, Calculator & FormulaAlignment cheatsheet5 Key Data Visualization Principles Explained – Examples in RThree packages that port the tidyverse to PythonHow to embed a Shiny app into your blog postsbiogeom: Biological GeometriesGenericML: Generic Machine Learning InferencePMA2: Penalized Multivariate Analysis