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Book list for streetfighting computer scientists: Difference between revisions

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* Van Roy + Hardidi, Concepts, Techniques, and Models of Computer Programming
* Van Roy + Hardidi, Concepts, Techniques, and Models of Computer Programming


now go forth and [https://www.youtube.com/watch?v=BUt0dZXPFoU fight in the streets]. there's no machine learning because i dislike machine learning. there's no quantum because i've not yet had the chance to do much quantum programming. there's no SIMT/accelerator book because they're all shite. there's no links because i'm a lazy, lazy man.
now go forth and [https://www.youtube.com/watch?v=BUt0dZXPFoU fight in the streets]. there's no machine learning because i dislike machine learning. there's no quantum because i've not yet had the chance to do much quantum programming. then again, no one else has either, really. there's no SIMT/accelerator book because they're all shite. there's no links because i'm a lazy, lazy man.


you should of course also read [https://www.amazon.com/Hacking-Planet-Notcurses-Character-Graphics/dp/B086PNVNC9 Hacking the Planet with Notcurses], buying copies for your team and family.
you should of course also read [https://www.amazon.com/Hacking-Planet-Notcurses-Character-Graphics/dp/B086PNVNC9 Hacking the Planet with Notcurses], buying copies for your team and family.

Revision as of 15:16, 21 April 2022

2022 edition. this is very different from most "best books for programmers" lists you'll see, with like "Code Complete" and "Clean Code" and "Wistful Wanking for Practical Wankers" and titles like that. you'll figure that all out as you go along. do you need to read all of these? only if you want to know the shit inside, i guess.

  • Dijkstra, A Discipline of Programming
  • Knuth, The Art of Computer Programming, especially volume 1
  • Warren, Hacker's Delight
  • Stevens, Advanced Programming in the UNIX Environment
  • Stevens, UNIX Network Programming
  • Abelman + 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

now go forth and fight in the streets. there's no machine learning because i dislike machine learning. there's no quantum because i've not yet had the chance to do much quantum programming. then again, no one else has either, really. there's no SIMT/accelerator book because they're all shite. there's 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.