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Ask HN: What are the most eye-opening textbooks you have ever read?

250 点作者 debanjan16大约 2 年前
In spirit of the tweet by Michael Nielsen: https://twitter.com/michael_nielsen/status/1656708273343459328?s=20

74 条评论

jdreaver大约 2 年前
The Elements of Computing Systems: Building a Modern Computer from First Principles [0] [1]<p>Easily one of the most interesting and engaging textbooks I&#x27;ve read in my entire life. I remember barely doing any work for my day job while I powered through this book for a couple weeks.<p>Also, another +1 to Operating Systems: Three Easy Pieces [2], which was mentioned in this thread. I read this one cover to cover.<p>Lastly, Statistical Rethinking [3] really did change the way I think about statistics.<p>[0] <a href="https:&#x2F;&#x2F;www.nand2tetris.org&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.nand2tetris.org&#x2F;</a><p>[1] <a href="https:&#x2F;&#x2F;www.amazon.com&#x2F;Elements-Computing-Systems-second-Principles-dp-0262539802&#x2F;dp&#x2F;0262539802&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.amazon.com&#x2F;Elements-Computing-Systems-second-Pri...</a><p>[2] <a href="https:&#x2F;&#x2F;pages.cs.wisc.edu&#x2F;~remzi&#x2F;OSTEP&#x2F;" rel="nofollow">https:&#x2F;&#x2F;pages.cs.wisc.edu&#x2F;~remzi&#x2F;OSTEP&#x2F;</a><p>[3] <a href="https:&#x2F;&#x2F;xcelab.net&#x2F;rm&#x2F;statistical-rethinking&#x2F;" rel="nofollow">https:&#x2F;&#x2F;xcelab.net&#x2F;rm&#x2F;statistical-rethinking&#x2F;</a>
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okaleniuk大约 2 年前
Calculus on Manifolds by Michael Spivak. <a href="http:&#x2F;&#x2F;www.strangebeautiful.com&#x2F;other-texts&#x2F;spivak-calc-manifolds.pdf" rel="nofollow">http:&#x2F;&#x2F;www.strangebeautiful.com&#x2F;other-texts&#x2F;spivak-calc-mani...</a><p>For me, the eye opening thing was that any n-dimensional body is a transformation of the n-dimensional standard cube. This brings some mathematical consequences I don&#x27;t understand, but what&#x27;s important for me is that equations get much easier for the standard cube transformations because your corners are just ones and zeros.<p>E. g. I wrote an app that &quot;unbends&quot; a book page from a photo so it looks flat. It can be done with a single but rather large transformation, or with a pair of transformations: to and from the standard cube, and each transformation is then much simpler than their composition. 15 years after I learned that trick and 10 years after I wrote an app, I wrote a book called Geometry for Programmers.<p>If not for Spivak, I would have drowned in equations, never written the app and would have had nothing to write a book about.
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PTOB大约 2 年前
This book &quot;opened my eyes&quot; to its contents, but that&#x27;s not the lesson. It taught me valuable written communications skills I didn&#x27;t even know I needed.<p>Kourik, _Drip Irrigation for Every Landscape and All Climates, 2nd Edition_ <a href="https:&#x2F;&#x2F;www.amazon.com&#x2F;Drip-Irrigation-Every-Landscape-Climates&#x2F;dp&#x2F;096158484X" rel="nofollow">https:&#x2F;&#x2F;www.amazon.com&#x2F;Drip-Irrigation-Every-Landscape-Clima...</a><p>Picked this up on a whim from the library. I have to say, I couldn&#x27;t put it down, which was ... odd. It&#x27;s concise, clear, well-ordered, and humorous at times. The author is humble and he&#x27;s cross-referenced all his designs with an extensive bibliography.
philipswood大约 2 年前
Fractals Everywhere, Michael F. Barnsley.<p>I love the way it starts:<p>&gt;Fractal geometry will make you see everything differently. There is a danger in reading further. You risk the loss of your childhood vision of clouds, forests, flowers, galaxies, leaves, feathers, rocks, mountains, torrents of water, carpet, bricks, and much else besides. Never again will your interpretation of these things be quite the same.
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nindalf大约 2 年前
The books that taught me computer science<p>- Operating Systems: Three Easy Pieces ( <a href="https:&#x2F;&#x2F;pages.cs.wisc.edu&#x2F;~remzi&#x2F;OSTEP&#x2F;" rel="nofollow">https:&#x2F;&#x2F;pages.cs.wisc.edu&#x2F;~remzi&#x2F;OSTEP&#x2F;</a>)<p>- Designing Data Intensive Applications by Martin Kleppmann (<a href="https:&#x2F;&#x2F;dataintensive.net" rel="nofollow">https:&#x2F;&#x2F;dataintensive.net</a>)<p>- Crafting Interpreters by Robert Nystrom (<a href="http:&#x2F;&#x2F;craftinginterpreters.com" rel="nofollow">http:&#x2F;&#x2F;craftinginterpreters.com</a>)
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lambdaxymox大约 2 年前
The Blind Spot: Lectures On Logic by Jean Yves-Girard<p>For context, Girard is a mathematical logician, philosopher, and co-discoverer of the type system System F (Haskell, ML, etc.). The book is a monograph on proof theory, and I was interested in learning more about affine and linear logic to deepen my understanding of Rust and other language ecosystems focused around the ability to explicitly model resources. However, along the way, I learned some other great things: (1) continental philosophy is deep and cool; (2) mathematical writing can be simultaneously rigorous, clear, and hilarious; and it reinforced (alongside Alain Connes&#x27;s Noncommutative Geometry, and various French philosophers) (3) French academic writing is both frustratingly and delightfully idiosyncratic. Girard writes polemically about other aspects of knowledge, mathematics, etc., and there&#x27;s heaps of dry humor and anecdotes throughout the book. It&#x27;s a hard book to read even by pure mathematics standards--a topic not exactly known for being a brisk read--but it was worth it just for the side discoveries alone.
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nrclark大约 2 年前
Don Norman&#x27;s &quot;The Design Of Everyday Things&quot; was very eye-opening for me. It introduced me to a lot of ideas about the human brain, and about how&#x2F;why we make mistakes.<p>This will sound stupid, but that book was the first time I encountered the idea that a brain can just straight up miscalculate and make a mistake. No reason, no explanation. Just your thinking meat did the wrong thing.<p>Really great book. Very entertaining, and a pretty quick read. I&#x27;d recommend it to anybody.<p><a href="https:&#x2F;&#x2F;www.amazon.com&#x2F;Design-Everyday-Things-Revised-Expanded&#x2F;dp&#x2F;0465050654" rel="nofollow">https:&#x2F;&#x2F;www.amazon.com&#x2F;Design-Everyday-Things-Revised-Expand...</a>
tambourine_man大约 2 年前
Code, by Petzold.<p>Not exactly eye-opening, I sort of knew most of the content, but I don&#x27;t remember ever having such joy while reading a technical book. Before or since.<p>I read the whole thing in a holiday (it&#x27;s a big book, 500 pages or more IIRC), and I am a terrible reader. I was at a place with no internet, so that surely helped a lot.
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nyarlathotep_大约 2 年前
&quot;Crafting Interpreters&quot;<p>A physically beautiful book, carefully crafted and written in a style that&#x27;s entertaining and brilliantly separated into distinct &quot;phases&quot; such that each chapter adds substantial functionality and doesn&#x27;t leave the codebase in a broken state. The attention to detail and meticulous documentation of the code is no small feat, and this book delivers like no other.<p>An absolute joy to work through and provides enough technical detail to provide a good foundation without having to slog through compiler textbooks.<p>Hands down my favorite programming&#x2F;software related book.
wffurr大约 2 年前
How to Design Programs: <a href="https:&#x2F;&#x2F;htdp.org&#x2F;" rel="nofollow">https:&#x2F;&#x2F;htdp.org&#x2F;</a><p>I already had a strong programming background in Java, C, JavaScript and PHP. I thought an introductory programming class at the Master’s level would be a waste of time. Going through rigorous program design in Racket was a mind expanding experience. I was amazed how much programming we did before reaching the assignment statement (set!) otherwise the first thing taught in typical introductory programming courses.<p>The format of the class was a big part of the experience though: all assignments pair programmed and then presented to a panel by a randomly chosen member of the pair.<p>A close second would be PLAI: <a href="https:&#x2F;&#x2F;www.plai.org&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.plai.org&#x2F;</a>. As experienced through the Brown University online version of the Design and Implementation of Programming Languages: <a href="https:&#x2F;&#x2F;cs.brown.edu&#x2F;courses&#x2F;info&#x2F;csci1730&#x2F;" rel="nofollow">https:&#x2F;&#x2F;cs.brown.edu&#x2F;courses&#x2F;info&#x2F;csci1730&#x2F;</a><p>It gave me a very thorough and engaging grounding in the various programming language idioms and constructs and how they actually work.
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tdba大约 2 年前
Non-linear dynamics and chaos by Strogatz<p><a href="https:&#x2F;&#x2F;www.stevenstrogatz.com&#x2F;books&#x2F;nonlinear-dynamics-and-chaos-with-applications-to-physics-biology-chemistry-and-engineering" rel="nofollow">https:&#x2F;&#x2F;www.stevenstrogatz.com&#x2F;books&#x2F;nonlinear-dynamics-and-...</a><p>I literally read it cover to cover like a novel
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bckmn大约 2 年前
The Timeless Way of Building by Christopher Alexander.<p>It really made me reconsider the process and ultimate goals of building systems beyond housing, and how to make pattern languages for any system I build, especially software systems.
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Gualdrapo大约 2 年前
Maybe it&#x27;s been read already by anyone here, but Carl Sagan&#x27;s &quot;The demon-haunted world&quot; turned me into an atheist and made me appreciate much more science and the scientific method in general. The irony part is I got to read it because a the logic teacher in my catholic nun-ruled school suggested it.
zvolsky大约 2 年前
The Elements of Statistical Learning. This book features some of the most interesting applications of mathematics. It was the likely reason why I started enjoying maths after many years of studying it.<p><a href="https:&#x2F;&#x2F;hastie.su.domains&#x2F;Papers&#x2F;ESLII.pdf" rel="nofollow">https:&#x2F;&#x2F;hastie.su.domains&#x2F;Papers&#x2F;ESLII.pdf</a>
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actinium226大约 2 年前
Not so much a textbook, but the class NAND to Tetris really opened my eyes as to how computers and OSes work.<p>Demystifying all that was really helpful for my programming
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mk67大约 2 年前
Gilbert Strang&#x27;s &quot;Introduction to Linear Algebra&quot; made it all click for me. I read it at the beginning of PhD studies and in a few weeks it all made more sense than during all of my Master&#x27;s studies before.<p>Coincidentally to this question, he will live stream his final lecture on Monday: <a href="https:&#x2F;&#x2F;grinfeld.org&#x2F;strang&#x2F;" rel="nofollow">https:&#x2F;&#x2F;grinfeld.org&#x2F;strang&#x2F;</a><p>I was amazed reading that, as I wasn&#x27;t aware he even lectured anymore. And after googling a bit and finding out he is already 88 years old, I was even more amazed. What an amazing human being, probably many thousands of people in the sciences and engineering owe quite a bit to his life&#x27;s work.
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AprilPhoenix大约 2 年前
1) Sakurai and Dirac&#x27;s textbooks on quantum mechanics.<p>2) Axler&#x27;s book on linear algebra. That&#x27;s when I started to think in terms of vectors as more than the typical &quot;magnitude and direction&quot; concept you are used to in UG physics. It took many years, but I&#x27;m finally beginning to apply this to more advanced topics.<p>3) Concurrency in Action, by Anthony Williams. The training in multithreading aside, that motivated a deeper interest in things like how caches worked or atomics for someone without a CS background like myself. I haven&#x27;t finished Three Easy Pieces yet, to my eternal shame as I read this thread, but that might also be added on this list by the time I&#x27;m complete.<p>4) On the right-hemisphere side of the brain, books such as Christopher Clark&#x27;s &quot;Sleepwalkers&quot;, Jonathan Smele&#x27;s treatment of the Russian Civil War, and Richard Thornton&#x27;s &quot;Odd Man Out&quot; on the Korean War have been useful in teaching me to dig deeper than the standard narrative when looking at history. I&#x27;m looking forward to Christopher Goscha&#x27;s book on Dien Bien Phu and James Howard-Johnston&#x27;s recent drop on the great final war of classical antiquity in the 7th Century, in a similar vein: both are out, just haven&#x27;t gotten the chance to digest them yet. Also, Plutarch&#x27;s Parallel Lives. They aren&#x27;t &quot;history&quot; in the sense that we know it, but they do teach you that, yes, the lives of famous ancient figures do have lessons that can and should apply to you.
jrumbut大约 2 年前
<i>A Russian Course</i> by Alexander Lipson.<p>I doubt it is a very effective way to learn the language (though the bizarre vocabulary it teaches has stuck with me), but it is extremely entertaining.<p>Lessons take the form of cartoon interpretations of ludicrous government reports (evaluating Comrade Borodin&#x27;s management of the zoopark), academic studies (the surprising link between stealing pencils at work and smoking on the trolleybus), and propaganda literature.<p>I believe there were cassette tapes that accompanied it originally, though I&#x27;ve never found them anywhere.
VWWHFSfQ大约 2 年前
I don&#x27;t know about _eye opening_, but The Art of PostgreSQL really changed the way I work for the better. Like a lot of people, I used to be one that would pull all my data into Python for processing, Pandas-style. Once I learned how to do it all directly in PG everything became trivial.<p>[0] <a href="https:&#x2F;&#x2F;theartofpostgresql.com&#x2F;" rel="nofollow">https:&#x2F;&#x2F;theartofpostgresql.com&#x2F;</a>
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rgoulter大约 2 年前
&quot;You Just Don&#x27;t Understand&quot; by Deborah Tannen.<p>The author discusses that often when conflict in communication arises between men&#x2F;women, it resembles the same tensions in cross-cultural communication.<p>The author discusses that some communication styles are competitive (with a heavy lens around status and confrontation), other styles are cooperative (with a heavy emphasis on belonging, relatedness, similarities).<p>The author discusses example of such conflicts. -- One example was, when someone&#x27;s complaining about a problem, a competitive-oriented mindset typically tries suggest a solution, whereas a related-orient mindset typically shows empathy. Crossing the wires: suggesting a solution might come across an uncaring, and expressing empathy might come across as unhelpful.
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mepian大约 2 年前
It&#x27;s kind of a cliche at this point, but Structure and Interpretation of Computer Programs really blew my mind when I read it in high school. I didn&#x27;t finish it &quot;cover to cover&quot; back then, but it was my first proper introduction to symbolic computation, recursion, and the concept of a metacircular evaluator was really fascinating. It inspired me to implement a simple Scheme-like interpreter in C# for my high school science project, and really put me on my adult path.
deepersprout大约 2 年前
Never Split the Difference: Negotiating As If Your Life Depended On It by Chris Voss. It made me change how I aproach a negotiation in about every aspect of my life.<p><a href="https:&#x2F;&#x2F;www.amazon.com&#x2F;dp&#x2F;0062407805" rel="nofollow">https:&#x2F;&#x2F;www.amazon.com&#x2F;dp&#x2F;0062407805</a>
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throwaway5959大约 2 年前
Not a textbook but when I actually read the Bible I realized it was total nonsense and left religion.
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nikochiko大约 2 年前
- CS:APP (Computer Systems: A Programmer&#x27;s Perspective), as someone who didn&#x27;t go to college, this made me feel like I knew the systems inside out and it was no longer magic.<p>- SICP (Structure and Interpretation of Computer Programs), this one is controversial, but getting to the end and actually building the interpreter made me see that seemingly complex programs like compilers and interpreters are just other programs and quite similar to the ones that I was used to writing. The other effect of this on me was learning about powerful abstractions. It felt smooth to follow along and build the interpreter because the abstractions in the book followed a logical progression. I want the other complex programs I write to seem just as simple.<p>- Software Foundations: Logical Foundations. Writing programs as proofs was fascinating. It felt like mathematical mumbo jumbo before but actually trying it out removed the magic and it became more obvious how programs and formal proofs could go hand-in-hand. The impact of this book wasn&#x27;t as generic as the other two. Maybe one benefit of seeing programs as proofs is that by trying to write programs that can be proved easily, we write programs that are actually simple to reason about and explain to someone else.
dpflan大约 2 年前
- <i>The Shape of Space</i> by Jeffrey R. Weeks -- from geometry to cosmology, exercises your mind into visualizing the shape of the universe.<p>- <i>Algorithms</i> by S. Dasgupta, C. H. Papadimitriou, and U. V. Vazirani. -- compact book that goes from the basics to divide-and-conquer, graphs, dynamic programming, linear programming, NP-completeness, and Quantum.
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a_techwriter_00大约 2 年前
Euclid&#x27;s Elements. I was gifted at most everything language-related in school, but I was complete dogshit at math. Studying Euclid changed my entire perspective. I don&#x27;t think I&#x27;d have had the self-belief to do programming without having read it.
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twoodfin大约 2 年前
A few that stick in my brain from 20 years ago:<p><i>Introduction to the Theory of Computation</i> by Michael Sipser<p>The classic Hennessy and Patterson: <i>Computer Architecture: A Quantitative Approach</i><p>Gray &amp; Reuter: <i>Transaction Processing: Concepts and Techniques</i><p>I also think the Gang of Four book always was and still is a tremendously useful read.<p>&amp; SICP, natch.
raron大约 2 年前
Not really a textbook, but written by two professors of politics about their research:<p>The Dictator&#x27;s Handbook: Why Bad Behavior is Almost Always Good Politics (by Bruce Bueno de Mesquita, Alastair Smith)<p><a href="https:&#x2F;&#x2F;www.amazon.com&#x2F;Dictators-Handbook-Behavior-Almost-Politics-ebook&#x2F;dp&#x2F;B005GPSLHI" rel="nofollow">https:&#x2F;&#x2F;www.amazon.com&#x2F;Dictators-Handbook-Behavior-Almost-Po...</a>
lnsru大约 2 年前
Forest of the Gods from Lithuanian writer Balys Sruoga. It’s cruel book how bandits treat intellectuals in concentration camp. Written in funny style hiding really bad details from reader. It is very eye-opening what one could expect from fellow human being under unfortunate circumstances.
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EVa5I7bHFq9mnYK大约 2 年前
Hopfield, J. J. (1982). &quot;Neural networks and physical systems with emergent collective computational abilities&quot;<p>After reading that paper I got the idea that it is not worth it to pursue a carrier in physics, because soon the AI will come and solve all the scientific problems in one second. I switched to programming and AI research. 41 year later, the idea turned out to be wrong, but at least I made good dough.
Keegs大约 2 年前
Computer Networks: A Systems Approach takes a subject I didn’t think I’d like and presents it in a way that made me want to read every chapter. It’s a master class on how to make technical content enjoyable, and a great intro&#x2F;refresher to networking. Can’t recommend it enough.
sema4hacker大约 2 年前
The Elements of Programming Style by Kernighan and Plauger<p>Software Tools by Kernighan and Plauger<p>The Psychology of Computer Programming by Weinberg<p>A cartoon-illustrated DIY Honda Civic repair book from the 80&#x27;s I no longer remember the name of.
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qntty大约 2 年前
For me, probably <i>What Is This Thing Called Science?</i>. It was the first time I really thought about some basic questions in epistemology.
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pedrosbmartins大约 2 年前
Algorithms Illuminated by Tim Roughgarden really helped me understand algorithm design and analysis. Used it to prep for a masters in computer science, with no previous degree in the area.<p><a href="https:&#x2F;&#x2F;www.algorithmsilluminated.org&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.algorithmsilluminated.org&#x2F;</a><p>The author even shares free video classes and other extra material.
bionsystem大约 2 年前
Factfulness: Ten Reasons We&#x27;re Wrong About The World - And Why Things Are Better Than You Think (English Edition) Hans Rosling, Ola Rosling, Anna Rosling Rönnlund<p>I&#x27;m reading this right now and I&#x27;m quite surprised by how little I know about the most impactful data on human well-being. The writing is a little bit off sometimes but still worth looking at.<p>I also liked &quot;Fooled by randomness&quot; by Nassim Taleb. His other writings are good too but I would say this one is the most impactful.
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weinzierl大约 2 年前
Brigham&#x27;s book on the Fast Fourier Transform was an eye opener for me. Not so much because of the &quot;Fast&quot; part (which is super interesting and useful too) but it was the introduction I needed to make integral transforms and convolution click. And that helped tremendously to connect a whole bunch of other dots.
juujian大约 2 年前
Probably not what anybody here is looking for, but Steven Seidman -- <i>Contested Knowledge: Social Theory Today</i>
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bondant大约 2 年前
Precalculus mathematics in a nutshell, by George Finlay Simmons<p>I found the explanations for the geometry part excellent.<p><a href="https:&#x2F;&#x2F;openlibrary.org&#x2F;books&#x2F;OL8012300M&#x2F;Precalculus_mathematics_in_a_nutshell" rel="nofollow">https:&#x2F;&#x2F;openlibrary.org&#x2F;books&#x2F;OL8012300M&#x2F;Precalculus_mathema...</a>
wwarner大约 2 年前
Calculus I, Tom Apostol<p>Introduces calculus using vectors from the second chapter. For me, it was a very natural and intuitive introduction to the topic.
__rito__大约 2 年前
If I have to choose one book, it would be <i>Fundamentals of Physics</i> by Halliday, Resnick, and Walker.<p>I came across this Physics textbook in Junior year in High School.<p>Before reading this book, Physics, and Science in general, was merely &quot;better subjects&quot; for me, and tools to top the class, frontiers where I could excel, and by remembering formulas.<p>This is the first time when reading something was really, truly <i>fun</i>.<p>This was the first time I had the <i>pleasure</i> in learning.<p>My whole outlook towards learning changed. Learning should be fun. And this has served greatly in my life.<p>This book not only made Physics enjoyable, but instilled in me a lifelong attitude of fun in learning and expecting fun in learning.
ada1981大约 2 年前
Rethinking Madness by Dr. Paris Williams.<p>Helped me to understand psychosis as a natural process, then when supported, results in a more sane, connected and healthier individual — and that that modern medical world is dramatically behind.
vram22大约 2 年前
Not all of the ones below may be textbooks, sorry, but IMO they are all very good. I cut my programming teeth on some of them, and read others at different times later in my career.<p>How to Solve It, by Georg Polya. A famous Hungarian mathematician. A text on general problem solving principles or techniques. A classic.<p>How to Solve It by Computer, by Dromey, an AU CS professor. In the same spirit as the Polya book, but applied to iteratively working out algorithms and pseudocode for common important programming problems.<p>The K&amp;R C book. What to say.<p>The Unix Programming Environment, by Kernighan and Pike. Ditto.<p>Programming Pearls, and More Programming Pearls, by Jon Bentley. Among many other things, some clever &#x2F; advanced uses of awk.<p>Writing Efficient Programs, also by Bentley. I had mentioned it on HN earlier, and someone replied saying they had used it in real life, and it was gold.<p>SQL for Professionals, by authors whose names I forget.<p>The Object Primer, by can&#x27;t remember who, but good.<p>A Unix book by Kochan, IIRC.<p>Object-Oriented Software Construction, by Bertrand Meyer, creator of the Eiffel programming language.<p>A book on object-oriented analysis &#x2F; design, can&#x27;t remember the name, by Rebecca Wirfs-Brock (?) and others. Learned about CRC cards from it. Very cool concept and technique.<p>A book on Object-Oriented Design, by Grady Booch, from a time before he co-invented UML. Forget the exact name.
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fsflover大约 2 年前
Ask HN: What book changed your life?<p>393 points|tomrod|1 year ago|522 comments<p><a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=30734709" rel="nofollow">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=30734709</a>
throwaway81523大约 2 年前
If a textbook is eye-opening, that&#x27;s partly due to the textbook but it&#x27;s also because you were at a moment in your understanding of that subject, that your eyes were ready to be opened and just needed a trigger. For me, TAOCP in high school was a big one. I don&#x27;t claim to have understood very much of it, but spending evenings in the library bashing through the parts I could make sense of gave a total change in perspective.
whiplash451大约 2 年前
The intelligent investor, by Benjamin Graham.<p>Took me off the hook of retail trading for the rest of my life.
vl大约 2 年前
Peopleware and Mythical Man-Month
jiriro大约 2 年前
The Pattern on the Stone by W. Daniel Hillis [1]<p>This book shocked me with the idea of a universal computer:-)<p>&quot;..there is really only one kind of computer .. all kinds of computers are alike in what they can and cannot do&quot;<p>&quot;.. any computing device, whether it’s built of transistors, sticks and strings, or neurons, can be simulated by a universal computer.&quot;<p>&quot;.. making a computer think like a brain is just a matter of programming it correctly.&quot;<p>[1] <a href="https:&#x2F;&#x2F;www.amazon.com&#x2F;Pattern-Stone-Computers-Science-Masters&#x2F;dp&#x2F;0465066933" rel="nofollow">https:&#x2F;&#x2F;www.amazon.com&#x2F;Pattern-Stone-Computers-Science-Maste...</a>
dangwhy大约 2 年前
spivak calculus opened my eyes to what exactly truth is and how to prove truth by build proofs from parts.
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kqr大约 2 年前
Perhaps not a perfect fit, but if I had to select one it would be <i>Out of the Crisis</i> by Deming.<p>Other than that, basically all of them to some degree.
Fazel94大约 2 年前
It was a technique of studying in a book, not the content, In &quot;Introduction to the Theory of Computation&quot; Sipser precedes every proof with a &quot;proof idea&quot; basically examining meaning of each statement before the &quot;pencil pushing&quot;. You wouldn&#x27;t miss the forest while watching the trees like this.
rg111大约 2 年前
After I passed a course and read other books on Algorithms, what really clicked Algorithms for me was this little known book: <i>A Common Sense Guide to Data Structures and Algorithms</i> by Jay Wengrow. This is what made Algorithms and Data Structures make sense to me.<p>Later I read DPV and it was great, too.
cs702大约 2 年前
Off the cuff, here are a couple of textbooks not yet mentioned elsewhere on this page (so far):<p>* &quot;An Introduction to Statistical Learning&quot; by James, Witte, Hastie, and Tibshirani: possibly the best intro to the topic I&#x27;ve seen.<p>* &quot;Introduction to Linear Algebra&quot; by Gilbert Strang: possibly the best intro to the topic I&#x27;ve seen.<p>Also, here are some books that are not properly textbooks but could be used as such:<p>* &quot;Robot: Mere Machine to Transcendent Mind&quot; by Hans Moravec: remarkably prescient, in hindsight.<p>* &quot;On the Origin of Species&quot; by Charles Darwin: I was surprised at how <i>readable</i> it is.<p>* &quot;The Selfish Gene&quot; by Richard Dawkins: It made me question a lot about a lot.<p>* &quot;The Better Angels of Our Nature&quot; by Steven Pinker: I was shocked at the violence in our past.<p>* &quot;Gödel, Escher, Bach&quot; by Doug Hofstadter: an intellectual <i>tour de force</i>.
ggr2342大约 2 年前
They were not textbooks for any course. But I liked these:<p>1. <i>Mathematics and Plausible Reasoning</i> by George Pólya<p>2. <i>Probability Theory: The Logic of Science</i> by E.T. Jaynes
denton-scratch大约 2 年前
I did Philosophy at uni; one of the textbooks was Anarchy, State and Utopia, by Robert Nozick.<p>At the time I thought it was satire, or at least tongue-in-cheek. But it&#x27;s nowadays treated very seriously by neo-liberal nutters. I guess I was wrong.
shauryamanu大约 2 年前
Computer Networking: A Top-down Approach by Kurose and Ross
themodelplumber大约 2 年前
There was a horticulture textbook that showed a zoomed-out plot of land on the cover, which with its divisions and sectional diversity effectively looked something like an illustration of the inside of a CPU.<p>It wasn&#x27;t intentional as far as I know, but I have to admit that stuck in my head ever since as a really eye-opening metaphor. And the contents of the book were really new to me and even more eye-opening.<p>Wish I had the name of the book, sorry.
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kickout大约 2 年前
Cadalliac desert by Marc Reisner
throwbmw大约 2 年前
Molecular Biology of the Cell by Bruce Alberts
purplie大约 2 年前
Mathematics Made Difficult, Carl E Linderholm
kgwgk大约 2 年前
Probability Theory: The Logic of Science
Turing_Machine大约 2 年前
K&amp;R (yes, it&#x27;s outdated now, but it is still a fine model for how to write a clear and concise textbook). SICP. Computer Graphics: Principles and Practice by Foley and van Dam (plus a bunch more authors now).
sombragris大约 2 年前
Biology: Its Principles and Implications, by Garrett Hardin.<p>Engrossing, interesting, even funny. I read it as a teenager in a Spanish translation and couldn&#x27;t put it away.
tomrod大约 2 年前
Discrete Choice Methods with Simulation by Ken Train<p><a href="https:&#x2F;&#x2F;eml.berkeley.edu&#x2F;books&#x2F;choice2.html" rel="nofollow">https:&#x2F;&#x2F;eml.berkeley.edu&#x2F;books&#x2F;choice2.html</a>
ecology大约 2 年前
Ecology of the Planted Aquarium: A Practical Manual and Scientific
vdfs大约 2 年前
<a href="https:&#x2F;&#x2F;en.m.wikipedia.org&#x2F;wiki&#x2F;Kal%C4%ABla_wa-Dimna" rel="nofollow">https:&#x2F;&#x2F;en.m.wikipedia.org&#x2F;wiki&#x2F;Kal%C4%ABla_wa-Dimna</a>
richk449大约 2 年前
Obvious answers:<p>Griffiths - Electromagnetics Chambers - The Western Experience
tim333大约 2 年前
Mentioned in Nielsen&#x27;s tweet but Molecular Biology of the Cell by Alberts et al is very good. It&#x27;s the basis of life on earth really.
uptownfunk大约 2 年前
Chartrand proofs Elements of Style Any generic R programming book ESLR Course notes on Java &#x2F; Python (Berkeley 61 series)
pcvarmint大约 2 年前
<i>Numerical Methods for Scientists and Engineers</i> by R.W. Hamming
xeonax大约 2 年前
The New Way Things Work, not a textbook per se. It&#x27;s an encyclopaedia. But it taught so many things.
Brigand大约 2 年前
Cormen, Introduction to algorithms
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ecology大约 2 年前
Ecology of the Planted Aquarium: A Practical Manual and Scientific by Diana Walstad
tb_technical大约 2 年前
Industrial Society and it&#x27;s Future
makach大约 2 年前
a brief history of time