Probabilistic Programming is a new paradigm enabling a better understanding of uncertainty. I introduce a modern Bayesian workflow and explanation of Hamiltonian Monte Carlo – how it fails and how you debug it. EVENT: PyData London Meetup #48 SPEAKER: Peadar Coyle PERMISSIONS: PyData Organizer provided Coding Tech with the permission to republish this video. CREDITS: Original video source: https://www.youtube.com/watch?v=0kRytJZcHVw https://www.youtube.com/watch?v=7QlKZKbQa6M

Use Graph Theory to transport a wolf🐺 , sheep 🐑 and cabbage 🥗 across a river. Or use it to figure out how you can cross the 7 bridges of Konigsberg without crossing the same bridge twice. Or how about figuring out how to get from point A to point B? Graph Theory is a field in mathemetatics that studies graphs. It can be applied to many problems and was invented in the 1736 by Leonhard Euler. 📚 Sources for this video
https://savjee.be/videos/simply-explained/graph-theory-wolf-sheep-cabbage/ 🌍 Social
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It has been said that immutability changes everything. But what does that mean in practice? What does it mean for existing code that looks more like the mutant apocalypse than an elegant application of mathematical thinking? Immutability can be an ideal that is hard to reach. Refactoring, on the other hand, is all about the art of the possible. In this talk we'll be clarifying motivation and exploring some approaches to help reducing state mutability in code. EVENT: NewCrafts Conferences 2018 SPEAKER: Kevlin Henney PERMISSIONS: Original video was published with the Creative Commons Attribution license (reuse allowed). https://www.youtube.com/watch?v=MSyYrCrIsIw