Ask HN: What is the equivalent K&R book for (insert any topic here)?

* Algorithms has CLR (Introduction to Algorithms, by Cormen, Leiserson, Riverst and Stein)

* Compilers has the dragon book (Compilers: Principles, Techniques, and Tools)

* Lisp has a few, as far as I know. There's pg's "ANSI Common Lisp" and "Paradigms of Artificial Intelligence Programming" by Norvig which I hear is fantastic from everyone that read it.

For Lisp read: Practical Common Lisp by Peter Seibel (www.gigamonkeys.com/book/)

I think many (if not most) topics don't have such an obvious single authorative source.

Machine Learning: Tom M. Mitchell

Applied Cryptography, Schneier

Transaction Processing: Concepts and Techniques, Gray and Reuter