Covers the fundamentals of reactive programming, emphasizing event-driven, scalable, resilient, and responsive systems, and proposes using functional programming for composable event abstractions.
Covers the proof of the Bourgain's ARV Theorem, focusing on the finite set of points in a semi-metric space and the application of the ARV algorithm to find the sparsest cut in a graph.
Explores functional reactive programming as a cleaner and more functional alternative to the traditional observer pattern, using signals to simplify complex observer hierarchies.
