I'm on the hunt for some solid book recommendations in programming and computer science. I'm particularly interested in diving deeper into lower-level concepts. I started with CS50, and while I mainly use Python now, I found that working with C really helped me understand programming fundamentals much better. I plan to read "The C Programming Language" soon, but I'd love to hear about any other books that cover lower-level topics. Additionally, I'm curious about good general books that anyone interested in computer science should consider. Any suggestions?
5 Answers
Don't overlook "Writing Solid Code" by Steve Maguire! It may be a bit dated, but it’s packed with practical tips that are still relevant today, especially if you're diving into C.
If you're targeting those low-level concepts, I'd highly recommend **Computer Systems: A Programmer's Perspective**. It gives you a solid groundwork in how everything connects, from programming all the way down to the hardware.
You can't go wrong with some classics! Check out *Introduction to Algorithms* — it’s quite dry but really builds those essential programming muscles if you're diligent about the exercises. For a bit more personality, give *The Wizard Book* (SICP) a try; it's a fun ride that gets you thinking in surprising ways, although it might polarize opinions. And, of course, *Concrete Mathematics* is excellent for understanding the math side of programming, which many overlook.
I've really enjoyed a range of books, including the classic The C Programming Language (K&R). *Programming From The Ground Up* is excellent for learning assembly language too. Also, check out *Code Complete* for good object-oriented practices and *Hacking: The Art of Exploitation* if you're into security and lower-level programming.
For a comprehensive understanding, pair low-level readings with resources on real systems. Since you're into nand2tetris, exploring books on how compilers or operating systems work could help solidify those concepts. I find books that stress problem-solving skills over specific languages to be invaluable — they offer insights that are applicable no matter what tech stack you're using.

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