I.e., the list of "seems like it'll be useful but I'll probably be too busy to ever get around to reading these for real." Some of these are books I own.
All of the strange acronyms and silly nicknames are verified. I.e., the books should show up on the first page on Google by searching any of the acronyms provided, meaning that I did not make them up. I do like acronyms though.
Pending books/readings
What Color is Your Parachute? (recommended to me to transform the way I think about the job hunt, by my very wise former tech lead)
Computer Architecture: A Quantitative Approach (David Patterson's work is very interesting!)
Operating Systems Concepts ("The Dinosaur Book")
Category Theory for Programmers
No Silver Bullet -- Essence and Accident in Software Engineering
Introduction to Algorithms -- I have a hardcopy of this
The Linux Programming Interface -- I also have a hardcopy of this
Advanced Programming in the Unix Environment -- I also have a hardcopy of this
Compilers: Principles, Techniques, and Tools ("Dragon Book")
FreeBSD Handbook
R6RS or R7RS
RE4B ("Understanding Assembly Language")
CP book
Phil Oppermann's osdev guide
Modern Operating Systems, 2nd Edition (not modern anymore, but I have a hardcopy)
Algorithm Design (I should've read an algorithms book like this a long time ago)
Algebra for Applications (wow a math book -- but I do like algebra)
TAOCP (long-term goal)
Effective Go
LYAH
The Rustonomicon: The Dark Arts of Unsafe Rust
Foundations for Programming Languages
In-progress books/readings
Red Book (the database one)
Program Analysis book (Draft by CMU profs -- for an independent study)
SICP ("Wizard Book") (haven't read the final chapter) -- favorite book of all time -- the (MIT) Scheme equivalent of K&R
The Rust Programming Language (TRPL)
Finished books/beadings
Thomas's Calculus, 12th edition -- college companion for calc 1-4
K&R -- wonderfully terse while showing you around the entirety of ANSI C
LYAHFGG -- Playful, a little oblivious of political correctness, but good for the imperative programmer learning Haskell. It takes you on a journey that begins with the usual syntax and semantics, but spirals you into the exponentially-difficult world of type magikery and monads.