ReasonML Practice: Modeling Traffic Logic with Variants and Options

Modeling real-world decisions in software requires strict logic to prevent runtime errors. In this text-based course, you will learn how to leverage the powerful type system of ReasonML to handle complex application states safely and expressively. You will start with foundational concepts, establishing a solid understanding of basic terminology, type safety, and functional programming paradigms. From there, you will work through a hands-on logic exercise designed to simulate real-world conditions. What you'll learn: - Understand the fundamentals of the ReasonML type system and core functional programming terminology - Define custom variant types to accurately model distinct traffic and pedestrian states - Apply option types to handle optional or missing data safely without relying on null values - Implement pattern matching to write exhaustive, compiler-checked decision logic - Practice building a robust pedestrian movement function based on simulated traffic scenarios - Write clean, maintainable code that catches potential bugs at compile time This course begins with core definitions and gradually guides you through building a complete, type-safe decision engine. It is designed for beginners who want to learn functional programming basics and practical type modeling, with no advanced prerequisites required. Start reading to master type-safe logic in ReasonML today.