Python-bloggers

Markov Chain Monte Carlo (MCMC) is a class of algorithms used to sample from probability distributions when direct sampling is difficult or inefficient. It leverages Markov chains to explore the target distribution and Monte Carlo methods to per...

In Rhino 1.7.0, we began introducing the Rhino style guide and linting for box::use() calls to promote best practices for code quality. These linter functions were eventually separated from Rhino 1.8.0 into the {box.linters} package. Among the checks performed by {box.linters} are rules covering box::use() calls. For existing ...

It finally happened. It’s been almost two years since the first release of ChatGPT. It took the world by storm, to put it mildly. In the short period that followed, we now have multiple companies building Generative AI platforms that were unimaginable before late 2022. What a great time to ...

Adaptive (online/streaming) learning with uncertainty quantification and explanations using learningmachine in Python and R

Programming is a craft, and in data science we often spend countless hours coding. There isn’t a magic shortcut to improving your programming skills. But, like any craft, improvement comes from practice: challenging yourself, exploring rela...

posit::conf 2024 was nothing short of amazing! While Posit has already shared their top highlights, we wanted to offer our own take on the experience—what really stood out to us, what we’re excited about, and a few answers to questions that came up during Marcin Dubel’s session. ...

GxP validation can be a complex and often misunderstood process, with each company implementing their own unique approach. During a recent roundtable I attended at the R/Pharma Summit in Seattle, there was a recurring theme that stood out to me – every company seems to have their own definition of ...