by agumonkey on 4/16/20, 12:56 PM
To the author:
- Numerous Thanks
- Found a typo in the acknowledgement section, you managed to misspell Robert Strandh's name :D
by surroundingbox on 4/16/20, 1:59 PM
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.
by lassekliemann on 4/16/20, 10:29 AM
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.
by traderjane on 4/16/20, 8:22 AM
Is there consensus on the most common and advisable tooling setup for newcomers in Common Lisp?
by NoahTheDuke on 4/16/20, 2:59 PM
This looks great. I read and learn best from paper. Do you have any plans for releasing physical copies? Maybe through Lulu?
by Torwald on 4/16/20, 12:00 PM
Judging from first scan, this book seems to be a very good book. Thanks for the link!