As we approach the limits of our energy resources, the imperative to use what we have more efficiently becomes increasingly urgent. This urgency permeates various sectors, including software engineering, where the choice of programming language can significantly impact energy consumption. The traditional reliance on dynamic languages like Python, Ruby, and JavaScript has facilitated rapid development and ease of use, but often at the cost of computational efficiency and higher energy use.
