1.3. Look to Your Future¶
General-purpose languages come and go. In your life you’ll likely learn a handful. Today, it’s Python and Java. Yesterday, it was Pascal and Cobol. Before that, it was Fortran and Lisp. Who knows what it will be tomorrow? In this fast-changing field you need to be able to rapidly adapt. A good programmer has to learn the principles behind programming that transcend the specifics of any specific language. There’s no better way to get at these principles than to approach programming from a functional perspective. Learning a new language from scratch affords the opportunity to reflect along the way about the difference between programming and programming in a language.
If after OCaml you want to learn more about functional programming, you’ll be well prepared. OCaml does a great job of clarifying and simplifying the essence of functional programming in a way that other languages that blend functional and imperative programming (like Scala) or take functional programming to the extreme (like Haskell) do not.
And even if you never code in OCaml again after learning it, you’ll still be better prepared for the future. Advanced features of functional languages have a surprising tendency to predict new features of more mainstream languages. Java brought garbage collection into the mainstream in 1995; Lisp had it in 1958. Java didn’t have generics until version 5 in 2004; the ML family had it in 1990. First-class functions and type inference have been incorporated into mainstream languages like Java, C#, and C++ over the last 10 years, long after functional languages introduced them.
Python just announced plans to support pattern matching in February 2021.