A book on algorithmic programming in Lisp (opens in new tab)

Is there consensus on the most common and advisable tooling setup for newcomers in Common Lisp?

Thank you for this book!

Lisp is great. It's so much fun writing Lisp. Coding Lisp with Emacs/Slime is almost an enlightening experience.

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.

To the author:

- Numerous Thanks

- Found a typo in the acknowledgement section, you managed to misspell Robert Strandh's name :D

This looks great. I read and learn best from paper. Do you have any plans for releasing physical copies? Maybe through Lulu?

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.

Judging from first scan, this book seems to be a very good book. Thanks for the link!