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Listen "Episode 19: Get Python Not Sleep"
Episode Synopsis
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
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
In God we trust