An Introduction to Probabilistic Programming

I was introduced to probabilistic programming by Frank Wood and Brooks Paige at DARPA’s PPAML program, and they are excellent teachers. Highly recommend this resource! Anglican is a great language embedded in Clojure so this is particularly good for those on JVM

How does this compare to probmod[1] and webppl[2]?<p>[1] <a href="https:&#x2F;&#x2F;probmods.org&#x2F;" rel="nofollow">https:&#x2F;&#x2F;probmods.org&#x2F;</a><p>[2] <a href="http:&#x2F;&#x2F;dippl.org&#x2F;" rel="nofollow">http:&#x2F;&#x2F;dippl.org&#x2F;</a>

<a href="http:&#x2F;&#x2F;probabilistic-programming.org&#x2F;" rel="nofollow">http:&#x2F;&#x2F;probabilistic-programming.org&#x2F;</a>

I always feel like I&#x27;m missing something deeper when I hear &#x2F; read about &quot;Probabilistic Programming&quot; - am I wrong in thinking that it&#x27;s a well thought way of expressing Bayesian Models through the language of OOP? I always feel like the marketing side of this is hinting at something greater, but I haven&#x27;t seen any deeper connections past a good design choice.

can some one give a quick tldr of probabilístic programming? is it a convenient way to use Bayes (update priors) or is there more to it?