As a way of keeping track of good reading material I encounter, I'm going to start making blog posts. I've returned to my post on additional perspectives on OOP several times, and that works pretty well.
Fogus: The best things and stuff of 2011
Introduction to Functional Programming is an excellent book.
Debasish Ghosh: 2011 - The year that was
Some great reading material in there
InfoQ: Understanding Java Garbage Collection and What You Can Do about It
I haven't seen it all and didn't follow everything I did see. Looking forward to watching the whole thing without distractions.
Jonathan Sobel: Is Scheme Faster than C?
Of course not, most of the time. But I think there are some valuable points in the linked story that someone with nothing more than a typical imperative programming background cannot understand.
A book by Norm Matloff on parallel programming.
Actual, real paper books that you won't get from the link:
Peter D. Hoff: A First Course in Bayesian Statistical Methods
More than just a first book on Bayesian inference, but it sure is excellent in that role.
Norm Matloff: Art of R Programming
I love the presentation of R as a programming language (which it is) rather than a substitute for SPSS or some other "point and click" program (which it is, but is pretty clumsy).
John M. Chambers: Software for Data Analysis
Not something I recently found, but in the event that someone else reads this, it is the one true guide to understanding R. Nothing else comes close in my opinion.
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