How does Julia handle global variables and why are they discouraged?

Global variables in Julia break type inference and significantly degrade performance.

Global variables are not type-stable because their value can change at any time. The compiler cannot safely infer their type inside functions, which forces dynamic lookups and runtime checks. This prevents optimization like inlining and SIMD vectorization. Julia therefore recommends passing variables explicitly or using constants for performance-critical code.