Episode 19: Get Python Not Sleep

In this episode, I didn’t get a lot of sleep. But I did get a lot of quirky Python, classy SAS, and ridiculous R. References: A systematic review of statistical methodology used to evaluate progression of chronic kidney disease using electronic healthcare records Statistical inference for a constant-stress partially accelerated life tests based on progressively hybrid censored samples from inverted Kumaraswamy distribution Python 3.11.0b5  is now available How to reveal new connections in a knowledge graph with link prediction https://blogs.sas.com/content/iml/2022/08/01/examples-monte-carlo-simulation.html 5 pillars for a successful DataOps strategy June 2022: “Top 40” New CRAN Packages Bioinformatics Analysis of Omics Data with the Shell & R Script monkey! Getting fun with ggdogs, ggcats and gganimate R-packages: gganimate