Hello, thanks for the book. It seems we'll have to learn RUTILS. Anyway in machine learning and other fields python and java have huge libraries. I think the algorithms part is the best since lisp libraries can't compete with other libraries like the more than 8000 packages for R. Don't know what happened to clasp (C++ Lisp), and other gnu scientific libraries, ffi. Other languages and libraries are moving fast (Nim, Julia, Cristal, Kotlin, Rust), but lisp macros are still strong. I would like to predict a bright future for Lisp but I don't see anyway it can compete with all the other options.
Thank you for this book!<p>Lisp is great. It's so much fun writing Lisp. Coding Lisp with Emacs/Slime is almost an enlightening experience.<p>However, I never quite got over the frustration that writing the same thing in C++ gives factor two, three or whatever speedup. There is not much that can be done about this, I'm afraid. It's a tragedy.