Saying Goodbye to Certainty: Probabilistic Programming in Swift
2025-08-29
This article introduces a novel approach to handling uncertain data in Swift: Uncertain. It encodes probability directly into the type system, elegantly addressing issues like the imprecision of GPS coordinates. Using probability distributions and Monte Carlo sampling, developers can more accurately model real-world uncertainties, building more robust and reliable applications. The article provides a Swift library based on Uncertain and includes examples demonstrating how to handle various probability distributions and perform statistical analysis.