2022 edition. this is very different from most “best books for programmers” lists you’ll see, with Code Complete and Clean Code and Wistful Wanking for Practical Wankers and Design Slatterns and titles like that. you’ll figure that all out as you go along. these are books to read so that you can cut motherfuckers with knives. do you need to read all of these? only if you want to know the things inside, i guess.
Dijkstra, A Discipline of Programming
Knuth, The Art of Computer Programming, especially volumes 1 and 4B
Warren, Hacker’s Delight
Stevens, Advanced Programming in the UNIX Environment
Stevens, UNIX Network Programming
Abelson + Sussman, Structure and Interpretation of Computer Programs
Varghese, Networking Algorithmics
McKusick, The Design and Implementation of the FreeBSD Operating System
Kerrisk, The Linux Programming Interface
Stroustrup, The C++ Programming Language
Gustedt, Modern C
Hanson, C Interfaces and Implementations
Garcia + Widjaja, Communications Networks
Hennessy + Paterson, Computer Architecture: A Quantitative Approach
Kennedy, Optimizing Compilers for Modern Architectures
Stepanov, From Mathematics to Generic Programming
CLRS, Introduction to Algorithms
Samet, Metric and Multidimensional Data Structures
McKenney, Is Parallel Programming Hard, And, If So, What Can You Do About It
Crochemere et al, Algorithms on Strings
Culler et al, Parallel Computer Architecture
Ward + Halstead, Computation Structures
Shriver + Smith, The Anatomy of a High-Performance Microprocessor
Vazirani, Approximation Algorithms
Raghaven + Motwani, Randomized Algorithms
Sipser, Introduction to the Theory of Computation
Ahora + Barak, Computational Complexity
Pierce, Types and Programming Languages
Barendregt, The Lambda Calculus
Okasaki, Purely Functional Data Structures
Van Roy + Hardidi, Concepts, Techniques, and Models of Computer Programming
Galub + Van Loan, Matrix Computations (note that this last is pretty much a straight mathematics textbook, but roaming multiethnic gangs of matrices make up many streetfights)
speaking of math, you might want to take a look at Axler’s Linear Algebra Done Right and Knuth’s Concrete Mathematics. you’ll want to know your combinatorics, your prob/stats, and your linear algebra cold. calculus through diffeqs is necessary to know, but i’m a pretty hardcore nerd and yet don’t find myself integrating things all that often.
now go forth and fight in the streets. i list no machine learning because i dislike machine learning. there are no quantum books because quantum is not yet useful for streetfighting (we all look forward to this situation changing). i list no SIMT/accelerator books because they’re all shite. i list no infosec because infosec is a subfield of QA, fight me. there are no links because i’m a lazy, lazy man.
you should of course also read Hacking the Planet with Notcurses, buying copies for your team and family.
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