Periodically over on Stack Overflow (and in many other programming forums) the question comes up about what books are good for programmers to read. The question has been asked and answered several times, in several different ways. The same group of books always seems to rise to the top, so it's worth it to take a look at these books to see what everyone is talking about.
Books Most Programmers Have Actually Read
- Code Complete
- The Pragmatic Programmer
- C Programming Language (2nd Edition)
- Refactoring: Improving the Design of Existing Code
- The Mythical Man-Month
- Code: The Hidden Language of Computer Hardware and Software
- Head First Design Patterns
- Programming Pearls
- Effective Java (2nd Edition)
or Effective C++ - Test Driven Development: By Example
Among the most commonly recommended programming books there is another group that deserves special consideration. I call the next list "Books Programmers Claim to Have Read". This isn't to say that no one who recommends these books has actually read them. I just have reason to suspect that a lot more people claim to have read the following books than have actually read them. Here's the list.
Books Programmers Claim to Have Read
- Introduction to Algorithms (CLRS)
This book may have the most misleading title of any programming book ever published. It's widely used at many universities, usually in graduate level algorithms courses. As a result, any programmer who has taken an algorithms course at university probably owns a copy of CLRS. However, unless you have at least a Masters degree in Computer Science (and in Algorithms specifically), I doubt you've read more than a few selected chapters from Introduction to Algorithms.
The title is misleading because the word "Introduction" leads one to believe that the book is a good choice for beginning programmers. It isn't. The book is as comprehensive a guide to algorithms as you are likely to find anywhere. Please stop recommending it to beginners. - Compilers: Principles, Techniques, and Tools (the Dragon Book).
The Dragon Book covers everything you need to know to write a compiler. It covers lexical analysis, syntax analysis, type checking, code optimization, and many other advanced topics. Please stop recommending it to beginning programers who need to parse a simple string that contains a mathematical formula, or HTML. Unless you actually need to implement a working compiler (or interpreter), you probably don't need to bring the entire force of the Dragon to bear. Recommending it to someone who has a simple text parsing problem proves you haven't read it. - The Art of Computer Programming (TAOCP)
I often hear TAOCP described as the series of programming books "that every programmer should read." I think this is simply untrue. Before I'm burned at the stake for blasphemy, allow me to explain. TAOCP was not written to be read from cover to cover. It's a reference set. It looks impressive (it is impressive) sitting on your shelf, but it would take several years to read it through with any kind of retention rate at all.
That's not to say that it's not worthwhile to have a copy of TAOCP handy as a reference. I've used my set several times when I was stuck and couldn't find help anywhere else. But TAOCP is always my reference of last resort. It's very dense and academic, and the examples are all in assembly language. On the positive side, if you're looking for the solution to a problem in TAOCP (and the appropriate volume has been published) and you can't find it, the solution probably doesn't exist. It's extremely comprehensive over the topic areas that it covers. - Design Patterns: Elements of Reusable Object-Oriented Software (Gang of Four)
Design Patterns is the only book on this list I've personally read from cover to cover, and as a result I had a hard time deciding which list it belongs on. It's on this list not because I think that few people have read this book. Many have read it, it's just that a lot more people claim to have read it than have actually read it.
The problem with Design Patterns is that much of the information in the book (but not enough of it) is accessible elsewhere. That makes it easy for beginners to read about a few patterns on Wikipedia, then claim in a job interview that they've read the book. This is why Singleton is the new global variable. If more people took the time to read the original Gang of Four, you'd see fewer people trying to cram 17 patterns into a logging framework. The very best part of the GoF book is the section in each chapter that explains when it is appropriate to use a pattern. This wisdom is sadly missing from many of the other sources of design pattern lore. - The C++ Programming Language
This book is more of a language reference than a programming guide. There's certainly plenty of evidence that someone has read this book, since otherwise we wouldn't have so many C++ compilers to choose from.
Beginning programmers (or even experts in other languages) who want to learn C++, though, should not be directed to The C++ Programming Language. Tell them to read C++ Primer instead.
173 comments:
I also see SICP coming up on these lists of must read books and I always wonder how many people have actually read it and done the exercises.
Also, you might find Anti-Patterns interesting as both a reference and bed time reading (if thats your cup of tea). I've perused both GoF Design Patterns and Anti-Patterns and I definatly think the latter had a much more immediate effect on my programming.
GEB should go in one of the two categories, though I'm not sure which.
Craig,
I almost included SICP in the list, but I haven't read any of it, so I didn't feel qualified to comment on it.
Anonymous,
I think GEB probably goes in the first list. It's a pretty accessible book, even for non-programmers.
EvilTeach,
I've used TAOCP a bit more often than that, but certainly not more than twice a year since I bought it five years ago.
I agree that it feels nice to have it on the shelf. Knuth is brilliant, and he deserves every bit of respect he's gotten for writing it. I wouldn't be surprised if he's the only person who has ever read it in its entirety, though. :)
I disagree with a few points.
First, TC++PL is a great book to read cover-to-cover if you're a hobby programmer who is just getting into serious programming. I had played around with BASIC and Pascal in school and used TC++PL to teach myself C++ in college. Along with C++ you pick up a lot of programming wisdom from a guy who has not only done a lot of programming himself, but who spent a lot of time talking to the best systems builders in the industry, finding out how they program so he could make C++ a better language for them.
Second, it's often useful to recommend the Dragon Book to people who have simple text parsing tasks, specifically when the problem is of their own devising. I.e., when they're trying to parse a file format or other minilanguage they designed themselves. Reading a few chapters out of the Dragon Book helps you figure out how to write minilanguages that are possible (even easy!) to parse.
Third, Introdution to Algorithms is commonly used in undergraduate classes as well as graduate classes, so I'm sure many people have read eight or ten chapters out of it. It isn't bad at all as an introductory text, and most programmers who use it in school hang on to their copy as a reference book for non-experts, a comprehensive guide that explains things in a gentle way instead of just plopping down a bunch of pseudocode.
Señor Anonymo,
All three books are great. My point was that far more people claim to have read them than have actually read them.
My only real problem with TC++PL is that it is far from the best introduction to C++. There are many authors that do a better job of explaining the fundamentals than Stoustrup. Having said that, I don't think the beginning programmer was who he had in mind when he wrote it, so this is far from a failure on his part.
On the Dragon book: If what you're trying to parse is a mini-language, then it's totally appropriate to read the Dragon. I caution against recommending it when someone is trying to parse HTML (why wouldn't you just recommend a readily available HTML or XML parser?), a simple file format, or an algebraic formula. I often see people recommend the Dragon book whenever someone is trying to parse
x = a * b + c / d - e;
It looks like a job for a simple text parser. I think the Dragon book goes in to far more detail than is necessary to get the job done.
I expected CLRS to be the most controversial pick for the "Don't Read" list. I used it myself in the one graduate level CS course that I took, and I'll never get rid of it. Ever. It is a popular book at many universities, at both the graduate and undergraduate level, but I talk to far too many people who don't have even a basic understanding of the fundamental concepts of algorithm development and analysis to believe that people are actually reading CLRS. I doubt that most people get very far past the chapters on searching and sorting.
+1 for SICP, a book that actually teaches you how to think like a programmer (as opposed to the nuts and bolts, the topic of books like CC and the Pragmatic Programmer).
For what it's worth here the list of must read I give to all wannabe developers i meet. (Not in reading order)
- C Programming Language (2nd Edition)
- Data Structures and Algorithm Analysis in Java
- The Pragmatic Programmer
- Design Patterns: Elements of Reusable Object-Oriented Software
- AntiPatterns: Refactoring Software, Architectures, and Projects in Crisis
- Internetworking with TCP/IP, Vol 1
- Joe Celko's SQL for Smarties: Advanced SQL Programming
Not much of anything new but I really like the anti-pattern book which takes the pattern concept the opposite way and look at common mistakes and pitfalls of code organization. It's a bit tongue in cheek but still has valuable info.
Boyd,
That's a pretty good list. I usually recommend Head First Java to anyone who has never programmed before.
I've read about Antipatterns on Wikipedia, but I've never picked up that book. I'll have to check it out. Thanks for the recommendation.
TaPL is awesome, and everyone should read it.
PS. This only partially a joke, it's one of the most surprisingly interesting/entertaining yet incredibly mathematically rigorous and academic programming books I've seen. Still haven't read the whole thing, but it's pretty good.. it should probably make your list :)
Wow. Is this the Onion? Just because one knows how to start a car doesn't make them Hakkinen. Your not close to programming till you've slayed the "Dragon." This is often considered "Genesis" for anyone that wished to survive in the field. Some advice would be to Google it, keep quiet and listen to your peers...
I'll second an upvote for SICP - it's truly an amazing book that breaks all the stereotypes... let's just say I had preconceived notions about it beforehand, but wow I don't know how I chugged along without ever reading it. I'll admit that I didn't do all the problems because it was done at a course's pace, but reading it - definitely. Heck, just read it through then if you want go back and read it again while doing some of the exercises... what folks tend to not understand about SICP is that the exercises were designed in such a careful way as to assist in the learning of the content - this is moreso than other books, where you think obviously, sure. It's like the authors devised a way for to actually gain more out of the book if you decide to do the exercises.
The C++ Programming Language - is *superb. I had the 2nd edition, gave it away and bought the third.
* - where superb only applies to people who are serious about grokking the language.
I confess. I pretend to have read Gang of Four, when I just memorized the cover list of design patterns.
I have no respect for design patterns, as they overcomplexify everything. But interviewers love to ask about them, so whatever...
I graduated from Imperial(UK) around 2 years ago and have been programming for a well-known company in a well-paid job for just over a year now. I have read none of these books. Hurray!
+ another for SICP. Even as an experienced programmer I have gained a lot of knowledge from it. I am starting my BS in Comp Sci after almost 10 years of programming, and my course uses this book.
It is easy to read and the exercises are very well designed and worth doing. I love it when they appear easy and elementary, but they end up being hard to solve.
I think suggesting that TAoCP is comprehensive is actually quite misleading. It really provides the fundamentals of a wide range of basic computer science, but there are plenty of data structures and algorithms out there that are very useful in real-life, that simply aren't treated in TAoCP. Of course, if you can understand the algorithms that are in there, you have a much better chance of understanding more complex algorithms.
To all the people who are giving "+1 to SICP", does that mean we should all get started reading it, or are you saying that it's another book that many only pretend to read? :)
One anonymous poster said:
"Just because one knows how to start a car doesn't make them Hakkinen. Your not close to programming till you've slayed the 'Dragon.'"
I disagree. You don't need to be able to build a car to drive one.
I'm sure reading the Dragon will make you a better programmer, I just wouldn't recommend it to someone who is trying to parse HTML.
gmh33,
Thanks for recommending "Types and Programming Languages". I'll be sure to add it to my ever growing queue.
Another Anonymous reply:
"I think suggesting that TAoCP is comprehensive is actually quite misleading. It really provides the fundamentals of a wide range of basic computer science, but there are plenty of data structures and algorithms out there that are very useful in real-life, that simply aren't treated in TAoCP."
What I meant was that TAOCP is a comprehensive reference of the topics it covers. Of course it is a work in progress, so it doesn't cover all of Computer Science (yet?).
I feel really cool, at UIUC as an undergrad we had to read at least 1/2 of CLR. Take that sucka!
Here's the reading list for the undergrad class Intro to Algorithms:
http://stellar.mit.edu/S/course/6/sp08/6.046/materials.html
The Dragon Book is so hopelessly outdated that it shouldn't be recommended to anyone ever. It will teach you how to implement a moral equivalent of a crappy Pascal compiler using 1970s' techniques, and doesn't even cover basics of modern compilers like SSA.
And in general - books are a completely outdated format. For reference wikis or Google will be vastly more comprehensive and orders of magnitude faster to get what you want.
For reading from cover to cover - it's not how people learn - what you've just read won't have any points of attachment to your experience so you will barely remember a few pages worth of material after a few days. Many math books have exercises after each chapter, so you can experience what you've just read, and understand and retain it better, but for most high-level subjects it would be very difficult to create sensible exercises.
Kristian,
Reading half of CLR isn't the same as reading CLR(S).
To the Anonymous reader who posted the course notes for MIT's Intro to Algorithms,
Most programmers don't go to MIT. That sounds like a weed-out course to me. Can someone who went to MIT verify this for me? :)
taw,
You make a valid point about books being outdated. Many are outdated as soon as (before?) they're published.
Bill the Lizard. We read about the whole book, but I only read half :(
However, this post discussion brings up a great point: whenever I try to keep up with the topics in the CLR book, I use wikipedia instead. Straightforward examples and concise descriptions allow me to impress those young punks who tell me they're awesome because they went to Stanford, MIT, UIUC, or Carnegie.
Honestly though, I was a freak - I only read and comprehended 1/2 of it because I was trying NOT to read it. I was going online to all the university websites and downloading solutions to the CLR book. While organizing the answer book I was reading the solutions. Consequentially, this made me an algorithm snob in the process.
Bill, good lists, but I think the Mythical Man Month belongs in the second list. Most programmers can quote one or two lines from it, but few have actually read it.
Kristian,
Excellent point about reading material outside CLRS in an attempt to grok CLRS. I had to do the same thing when I was using it.
I don't mean to disparage the book itself. I just get annoyed with people who recommend it, when it's clear they haven't read it themselves. If you know a good Wikipedia article with the same information, send me there. :)
Dan,
That might be true. There are a few pearls of wisdom in MMM that pop up in a lot of places.
taw: You said the dragon book is outdated. You are aware that there's a recent second edition? Is that still outdated, and if so in what areas?
The dragon book 2nd edition should change their cover to have tiamat on it.
I hated that book. Guess compiler design isn't my cup of tea.
TAOCP was on my self for a few years as an excellent reference but then this spring I was getting ready to interview with google and I read it straight through esp vol 1,3 and on random numbers) and it was a real good read. He is a very funny writer and has a very noble view of what programmers do.
I srarted read to read SICP for the same reason and it was so enjoyable as well. Gotta love an approach to making a compiler that starts out with designing circuits that would run an algorithm well. And the sections on state/time/concurrency I still find myself mulling over. So just because many do not read these doesn't make them not a fun read.
I have not read any of those books. But then I'm not a "moderately competent programmer". I just copy and paste code from the Internet. However I have read "The Adventures Of Huckleberry Finn" and 18 works of Jean-Paul Sartre so you can be assured I've got the brains.
@Craig: I think the number of "normal programmers" who have read and done all the exercises for SICP can be counted on one's hands. SICP should probably be on the second list.
That said, if I knew the person I was talking to was MIT material, I would believe them if they said they had "read" it.
(I was able to get through the first four chapters, but in the last one (compilers) the examples were too large for me to really grasp. I did not try to do most of the exercises past chapter three.)
Chris Austin-Lane,
Getting through all of TAOCP is a pretty awesome accomplishment. Now that you've made the claim on a public forum, be prepared for a MMIX quiz. :)
I actually have read Introduction to Algorithms, Design Patterns, and The C++ Programming Language all the way through. I don't think the first and last did anything to help my knowledge base or my career. Design Patterns, eh... it helped me to understand a lot of the stuff I cared about until I realized that most "patterns" are idiomatic fill-ins for things a programmer should have as a library in his or her language of choice.
I keep meaning to get through SICP, but always stall out somewhere in the middle of the second chapter.
Robert Robbins,
I respect a programmer a lot more if they admit that they copy and paste code from the internet, rather than try to BS me into thinking they've read TAOCP.
I've not read Sartre, but Huck Finn is one of my favorite books. As a completely amateur writer myself, Twain just makes me downright jealous with his wit and style.
Elf,
I think the most helpful part of Design Patterns is that it provides a vocabulary for things we're already doing. It also gives good hints as to when it's appropriate to use each pattern.
I have found the parts of CLRS that I've actually read to be helpful. It might just be that the book contains too much information for my brain to hold all at once. I guess that's why I've kept the book. :)
Interesting list and comments. My take:
1) Don't often see Petzold's "Code" cited. Great read.
2) SICP. Worked (and I mean *worked*) through about 90% of it for fun (nerd alert). It's simply a great book, and like most great works, it's not for everyone. That said, I think everyone should try once to get through the first 50 pages or so, just to see what all the uproar is about. As one commenter noted, the exercises are an integral part of the learning experience. If you don't do them, you're wasting your time.
3) Not on your list: "Concepts, Techniques, and Models of Computer Programming", Van Roy and Haridi
http://www.amazon.com/Concepts-Techniques-Models-Computer-Programming/dp/0262220695/ref=sr_1_3?ie=UTF8&s=books&qid=1229361863&sr=8-3
This is sometimes compared to SICP. Haven't read the whole thing but I'm a big fan so far.
Anonymous,
Speaking of nerd alerts, I had exactly 42 comments and you ruined it! :)
I came from an EE background originally, then went back to school to get a CS degree. Petzold's "Code" was exactly the book I needed. It's a fantastic read for anyone in either discipline.
I'm going to have to bump SICP up on my queue. With so many recommendations, I really feel like I'm missing out.
Graham's books, ANSI Common Lisp, and On Lisp, are excellent (though I've not read all of On Lisp). After those I started reading SICP. SICP is nicely organised in five large sections. They would have done well to revert to older conventions, naming the sections "Books" and the subsections "Chapters".
I worked through Book One:Building Abstractions with Procedures, Book Two:Building Abstractions with Data, Book Three: Modularity, Objects, and State. Eventually I arrive at the bit I was really interested in Book Four: Metalinguistic Abstraction, and I gave up.
Lisp's fully parenthesised prefix notation is pretty crap if you are planning on typing all your code in by hand, but it is OK because that is never the plan. You are supposed to write read-macros adlib whenever repetitive blocks of code would benefit from a denser notation with more punctutation and parsing. You are supposed to write macros to raise the abstraction level above raw Lisp.
I gave up on SICP because they were not using macros. The authors have something against them. The unrelently low level of the code was getting tedious and irritating. I bought Lisp In Small Pieces, read 19 pages, then struck out on my own, writing a headcase macro to factor out the repetition from the SICP code, and an interpreter. Don't be confused by the fact it is only 52 lines, it really works.
This convinced me that the SICP approach of Lisp without macros really was a mistake. It is too large a mistake for the book to be considered a classic.
All of your books programmers don't read were in my Computer Science curriculum.
Alan Crowe,
Thanks for sharing that experience with us. It brings to mind an interesting point. The books in the second list that I wrote about are all very theoretical, while the books in the first list are all much more practical (at least, I think that's close to the point you were trying to make about SICP). Could that be the reason for the popularity of the books on the first list?
Rick Minerich,
They probably all should be, particularly if it was a graduate program. I'm not sure how many schools use TAOCP, but I know that the other four are widely used.
In contrast, the other list is mostly ignored by universities. I think those books are more widely read by practitioners (Software Engineers) than by theoreticians (Computer Scientists).
I read more of the second list than the first.
Paco,
That could be because it takes longer to digest the books in the second list. I know I could read the entire first list in the time it would take me to read either TAOCP or CLRS. :)
Regardless, I suspect you are in the minority.
Well, the fact that a book has been bought does not mean it has been / will be read. You have no idea of how many books I have on bookshelf that I either have never started or never finished reading simply because of a lack of time.
On the other hand, Amazon is not the only provider of books in the world. On my shelf, most of the IT books have been bought at the bookshop.
Last but not least, many "old" developers (like me) have kept important books (bought at times Amazon did not exist...) that still hold good now; when these old folks started development, "bibles" such as "Code Complete" did not exist, and at the time these bibles have been edited, old folks did not need them anymore.
Jean-Francois,
"Well, the fact that a book has been bought does not mean it has been / will be read."
I know that all too well. Whenever I come home from the bookstore with four books my wife asks "Which three do you think you'll read?"
How about books programmers buy but don't actually read:
The Art of War by Sun Tzu
Any of the CJ Date Database books
Any of the XP programming books
sal,
The first two are good examples.
I'd have to see what you mean by "XP books" before I can agree with that, though. I consider TDD:By Example to be an XP book (TDD is an offshoot, but still falls under the XP umbrella).
Any of the Extreme Programming " " books like Kent Beck's Extreme Programming Explained. At least half the time, the copy sitting on the shelf has a pristine spine indicating it hasn't been opened let alone read.
If you are unsure about what you are saying, then I typically look at the Amazon rating. If 20+ people have rated a book as a 4+ in points, I have never been disappointed personally after the purchase. I use the Amazon rating system and # of users who rated it as the basis in addition to actually seeing the book in the store to verify if it's a good buy or not.
sal,
I can't speak for any of Beck's other books, as I haven't read (or bought) them. :)
Of all the times where I got the solution of how to do something programming related from a book, I bet the majority of the time that book was from the Deitel & Deitel series.
Pete Michner,
I think you just nailed my point right on the head. For every CLRS or TAOCP there are a hundred books with the same information that speak to a wider audience. It would be nice if everyone recommended those books (or Wikipedia articles) that they actually use, rather than trying to appear smarter by saying "If you haven't read Knuth, you're a bad programmer" (quote paraphrased from a reddit comment).
The only book worth reading on your "actually read" list is K&R, and even then there are better C books. As for your "claimed" list: CLRS and knuth are more reference books these days; very few people need the dragon book in it's entirety; Stroustrup is only meant to be read when you're on the toilet constipated; and all design patterns are for morons.
I'm surprised nobody's recommended "Working Effectively with Legacy Code" yet. It's a very accessible book, even if you're not working on legacy code.
I find it to be useful as a list of difficult pieces of code to unit test, and how to make them testable.
Jason,
Thanks for the recommendation. That's not a book that I've read, so I'll have to add it to my queue.
I love the design patterns book because the authors communicate simply and teach well. Many books remain unread because the authors are poor teachers. Take Stroustrup. Great knowledge, lousy teacher. God help the poor student who's first book is "the c++ programming language".
http://tinyurl.com/dmbunv
It's like trying to learn carpentry from a book about the chemistry of wood glue.
But I think the gof book isn't read because it's really just a library of patterns. With the exception of the first chapter, the book is meant to be a reference.
And really there's nothing more to retain from the book than:
1) "Design to an interface not an implementation"
2)"favor object composition over inheritance."
So Simple.
Good post. Cannot agree with you more on the Design Patterns (GoF) book. I've notices that most of the people who recommend this book haven't read it (or if read then only partially). TAOCP also falls in same category.
From the first list -1 for "The Pragmatic Programmer", this book is too much overrated (or may be I am too dumb to get what is special about it). And also I don't think most programmers have read "Code: The Hidden Language of Computer Hardware and Software" and "Test Driven Development: By Example". (or at least I haven't, and didn't have it in my future read-list too, though will revise my list now).
Jahanzeb,
I've heard more than a few experienced developers express a similar feeling toward both The Pragmatic Programmer and Code Complete, and I can understand why. First, the two books are very similar to one another, so I often tell people that they really only need to read one or the other. If you read them both you're not going to find a lot of new material when you read the second one. Second, some of the advice probably seems pretty obvious to someone who has several years of programming experience. I'd highly recommend either book to anyone just graduating college with a CS degree, or otherwise entering the field, but someone with a few more years of experience might not find much new information in either book. To someone just entering the field, though, either book can ramp up the knowledge base rather quickly.
I'd recommend TDD: By Example to anyone interested in unit testing, no matter their experience. It starts out pretty simple, giving some fairly basic examples in Java and JUnit, but it ramps up fairly quickly. In the second half of the book you build a unit-test framework in Python.
Petzold's Code is a different kind of book entirely from the others. It starts out with the most basic computing concept possible, switches, and shows you how complex machines are built from them. I think it would be a very enlightening book for anyone interested in any kind of programming, or computers in general. This is one of the few books that makes it onto my "read it again" list.
I completely agree on what your views. Even for someone with 3-4 years of experience like me, these books don't offer much. Most of the things would be either too obvious or will have already learned from experience by then. These are definitely for freshers. Still, Code Complete didn't disappoint me as much as Pragmatic Programmer did, don't know exactly why, even though that I read it BEFORE reading Code Complete.
"If more people took the time to read the original Gang of Four, you'd see fewer people trying to cram 17 patterns into a logging framework. The very best part of the GoF book is the section in each chapter that explains when it is appropriate to use a pattern."
I always took the GoF book to be more of a reference for thoughts on OO rather than a "how it should be done" book. I've seen firsthand programmers trying to stuff patters they read about into their application rather than the opposite. My take was that it reinforces patterns that developers create in their applications rather than patterns developers should learn and use.
So yes, I've read it. However you may not agree that I understood it :)
Jeffrey,
I partly agree and partly disagree. I agree that you shouldn't be trying to stuff patterns into your design just because they appear in GoF. However, I also think there's no harm in reading GoF from cover-to-cover just to get an idea of what's in there. Anyone doing this, though, needs to pay particular attention to the sections on when a pattern is applicable so that they don't fall into the habit of "pattern stuffing."
I like the idea that the book reinforces what a developer may have already learned on their own. I've found that this kind of reinforcement learning saves me a lot of time that I might otherwise have spent deliberating over whether my design was good or not. There's always more than one way to solve any problem, but having my idea validated by someone else at least lets me know when I probably haven't stumbled on the worst solution.
I'm not sure which list it belongs on, but perhaps The Little Schemer?
I've made it about halfway through (all whopping 200ish pages :\) and found it to be a fun exercise up to this point... maybe it's more one of those books that teaches you to think a certain way more so than directly teaching you CS concepts.
Word.
rbxbx,
That's another book that I own a copy of, but I've never read either. I'll add it to my list of things to read after SICP, and I'll try to remember to make a recommendation on which one should be read first.
I agree, pragmatic programmer is definitely a good book to read.
One not mentioned (that I can see) is Generic Programming and the STL: Using and Extending the C++ Standard Template Library by Matt Austern - almost a mathematical text in the way it builds up on concept after concept. Even if you never use C++ in anger, it will make you a better programmer, I believe, by making you think about your code, whatever language, with Generic Programming concepts in mind
I like GoF - read it three times, get more out of it each time
I've read about 50% of Dragon - never easy but worth it for the grounding
TDD:BE was great - truly made me a better programmer
I own TAoCP - never read it, tried, made my eyes hurt
I've read TC++PL - total idiotic
When I interviewed Donald Knuth for my book Coders at Work, I asked him whether he thought most programmers should read his books. His reply: "I sometimes wonder if I can read them."
Code Complete is god awfully boring. I wouldn't wish reading it on any new programmer.
Wait programmers still read books?
I would do The Little Schemer first, then SICP. The Little Schemer is extremely interactive and covers some of the same ground faster.
Everyone should read Mastering Regular Expressions.
How about Refactoring, by Fowler? It is on my to-read list.
gigamonkey,
Coincidentally, I just picked up a copy of your book about two weeks ago. If I ever decide to revisit this topic I think it will go in the first list. :)
Anonymous,
Beginning programmers are exactly who should be reading Code Complete. It takes a lot of knowledge gained through years of experience and condenses it down to a book you can read in a few weeks. If you're an experienced developer, then I wouldn't be at all surprised if you already know much of that material. I'd be just as surprised, though, if anyone could read it and not learn something.
Dan Lewis,
Ah, too late! I'm already most of the way through the first chapter of SICP. I do want to read the whole "Schemer" series when I finish, though.
Which list would you add "Mastering Regular Expressions" to? :)
Nowadays I'm so busy I barely have enough time to read a blog article, let alone read a book or have a normal life.
I really want to take up SICP though as soon as I get more time....
Why C++ for Dummies does not appear in the 2nd list? Is good :)
I don't think I've read many programming books cover to cover. I usually don't read sequentially but pick out sections of interest.
I haven't got any books from the first list, but from the second I have TAOCP (vol 1-3 only), CLRS and the Dragon Book (green and red).
Speaking of TAOCP, I conducted a podcast interview with Donald Knuth this past Wednesday (it's posted at
http://www.blogtalkradio.com/larryfeltonj/2010/05/28/interview-with-donald-knuth-1 )
Volume Four is now available as a series of paperbacks, and the hardcover should be out by the end of the year.
I'll admit I've never finished reading TAOCP, but I've used it as a reference a good bit, and I do know what MMIX is :-)
Larry Felton Johnson,
Great interview! Thanks a lot for providing the link.
"Unless you have at least a Masters degree in Computer Science (and in Algorithms specifically), I doubt you've read more than a few selected chapters from Introduction to Algorithms"
Man, you must be hanging out with a crappy crowd. I read the book up to the last part for my intro to DS course (2nd year course for beginners) and will finish it's last part for my algorithms course (3rd year course). And that's just for my undergrad. In grad course for algorithms you use other stuff. The Intro *does* get used, but mostly for its optional sections which go into more esoteric subjects.
About the book itself - it is designed for beginners in mind. No prior knowledge is assumed. It's very readable and shouldn't present much trouble for people who are mathematically mature. The only real challenge there is doing some of the problem sets.
I have to agree. That intro to algorithms book is amazing. It helps a lot to use in real life because these days almost all the algorithms described are already made in every major language thanks to the open source community.
I too had to read most of that book 10 years ago. Still, every year I reread sections of it just so I feel afresh with algorithm analysis. It basically covers what people should know about underlying data structures.
Yes, you can be a talented developer without reading this book. But it's like repairing cars - you can change a radiator without knowing how it cools down a car, but if you do this for 8 hours a day and every day, why wouldn't you want to know what's going on underneath the hood.
Slightly off topic - I just left a company that had an anti-CS attitude (although not voluntarily). I was often told my interview questions were too "computer sciencey" - whatever that means. Developers here often tried to hold an attitude that if you somehow learn "on the streets" that you're a more straightforward programmer. After talking closer to some of these people, you realize they're just being self conscious about not learning what are actually simple algorithms. There's no rocket science here - it's computer science and it's a lot of fun. People who don't learn this stuff only stay effective coders by becoming API memorizers and learn to solve problems with trial and error instead.
Great post and the discussion in the comments is real fun.
Interestingly, I own all the books mentioned in your "don't read" list (except TAoCP) and I haven't read a single one through and through :). (I don't _claim_ to have read them either :P) This is because I treat them as reference books. (Want to brush up on Red-Black trees? Pull out CLRS) Why would it be wrong of me recommend it to someone else as an excellent reference book?
As far as book recommendations go, The Little Schemer has to be the most mind bending experience I've had. I came to it without any 'functional' background, and it was very easy to grok upto page 150-ish. The last 50 pages were like hitting a brick wall. It is one of those rare books which taught me a completely new way of thinking.
Vedang,
Thanks! "The Little Schemer" is definitely the next book on my reading list after I finish SICP. It's come highly recommended to me before, and I'm curious to see how different the teaching style is between the two books.
CLRS is used in many colleges. students may not read it cover to cover, but they often work through a lot of it. i did.
This sounds like... me?! :).
Bill, you're onto something sir. I like this post. I do have a few computer books myself and I definitely agree that some of the classical books are typically "just there in the bookshelf".
Let me add a few more to that list!
Advanced Programming in the UNIX Environment.
The whole TCP/IP Illustrated series
Some of Tanenbaum books (distributed systems) except the OS one, I believe that is the only Tanenbaum book that people do read cover to cover.
Norvig AI!
CLRS is used in many colleges. students may not read it cover to cover, but they often work through a lot of it. i did.
I completely agree with you here. A lot of people have the tendency to advise others about reading a particular book, which they haven't read themselves. I particularly like the book "Clean Code". Its written in very simple way and everything in the book is useful for a programmer.
I have read 7/10 of the first list and substitutes for the others. It never ceases to amaze me that the average programmer reads less than one book per year.
In the second list
1. Algorithms. Haven't read it but read other comparable books. It doesn't look that advanced to me.
2. Dragon book. Yes, read all that and implemented most of it. It is overkill for simple text processing but good for more complex things.
3. Art of CP. Yes I agree use it as a reference not a reader. It is very dense. Would take ages to read right through.
4. Design patterns, I did actually read all of this. It is the most boring book in the history of computer science. The fact is that design patterns are 90% due to flaws and limitations in your language (eg Java!). Most of them go away in a decent language. DRY: Don't Repeat Yourself.
5. C++. Read all of this when learning C++. Not good for a beginner. As opposed to K&R for C. Still, why would you want to learn C++? It is pure brain damage.
>stop recommending books to others that you haven't read yourself
Taking it a step further: stop recommending a text unless you prefer it to another you have read in the same field and can explain why.
http://lesswrong.com/lw/3gu/the_best_textbooks_on_every_subject/
I agree. SICP should be in there some where. I also completely agree with TAOCP - it will take anyone a life to read the series.
This is the post that I didn't have the balls to write myself.
CS undergrad at big 10 school here, we use CLRS for Algorithms Pt I and Pt II, definitely not a graduate-level textbook.
We use SICP for introduction to data structures as well.
Another book : 1984
Ironically the only books I own are those in the 2nd list.
Totally agree on CLRS being programmers don't really read list.
I find CLRS book as a very hard book to read.
Many exercises in that book (excluding those with star) are hard problems.
Also, some chapters are not that much useful when it comes to everyday programming depending on your fields.
The book also requires a lot of background in discrete math, probability, and proving.
It's not a book which a beginner with no such background knowledge can read smoothly.
Seriously, recommending Lippman as an introductory C++ text? The only thing worse would be Dietel and Dietel. I tend to think "beginner's C++ book" is an oxymoron, but the only thing that comes close is Stephen Prata's C++ Primer Plus.
Alex Chamberlain,
That book might be another good language reference, but a good C++ book for beginners it is not. I stand by my recommendation.
think GEB probably goes in the first list. It's a pretty accessible book, even for non-programmers.
The only book I have read in both of the list is CLRS. There were some selected chapters from this book in my under graduate coursework but I got so much interested in algorithms that I read it completely and decided to pursue a research career in algorithms and theoretical computer science. Now I am pursuing doctorate in complexity theory. For me this was THE BOOK.
Admitting what you haven't read takes guts.
I lol'd that CLRS was the first one on the list. Thats the textbook for my Algorithms class right now, it is very dense and not for 100 level students
You have nailed it, this guy seems to recommend so many books but I doubt he had read all of them e.g. this one.
@Anonymous, I agree with you. He seems to have knowledge of Java only, but recommend book on every topic, inlcuidng algorithms. I only trust his Java recommendation.
i red scott adams hitchhickers guide to the galaxy multiple times.
(and as a programmer i dont care much about other books in general).
CLRS is a *graduate* level book?! At my college, it was the sophomore textbook. Oi. And we used the Dragon Book for the junior-level compiler course. What books do other colleges use at the undergraduate level?
I've read Design Patterns, too, but I wouldn't hold it against someone for not reading it. It's not a great book. The concepts are all fairly obvious, if you've ever tried writing an object-oriented program in a Smalltalk/Simula-like language. At the time of its publication, it was mostly useful as a dictionary, to give names to the patterns that everybody were using already. Now that these names are common, I'm not sure the book serves any purpose at all.
>> scott adams hitchhickers guide to the galaxy
Great book, but you mean "Douglass Adams". And it's an interesting one because it seems most programmers have read it.
As a non-CS student, I was able to read SICP and work all the exercises through chapter four in about a year, so it is a great intro text for the *motivated* student.... but I doubt most programmers (or CS guys) need it, or have the patience for all the exercises. Each chapter builds on the others (so it is terrible as a reference), but the beginning chapters are slow enough that it would bore a CS grad, and the problems require enough new insights that a mediocre student won't get them.
Combine that with the fact MIT-scheme doesn't work on Windows or Ububtu anymore....
As a non-CS student, I was able to read SICP and work all the exercises through chapter four in about a year, so it is a great intro text for the *motivated* student.... but I doubt most programmers (or CS guys) need it, or have the patience for all the exercises. Each chapter builds on the others (so it is terrible as a reference), but the beginning chapters are slow enough that it would bore a CS grad, and the problems require enough new insights that a mediocre student won't get them.
Combine that with the fact MIT-scheme doesn't work on Windows or Ububtu anymore....
I read the Dragon Book from cover to cover (1st Edition). I was enchanted by it. 30 years later I wrote what is arguably the most advanced parsing library for Python, because of all things I wanted to secure an SQL interface. You never know where life will take you.
I've also read the "The C++ Programming Language" from cover to cover. The language reminds me of an old style English motor cycle - things were bolted on until it worked. Very clever, unpredictable things. The trick in using the language is to get into the designers mind, so you know what parts work well together. His book describes why every part is there. Granted reading about the failures might be a waste of time if you won't use the language heavily - but if you do it will save you a lot of time.
If the first edition "Introduction to Algorithms" is as comprehensive as you say, it should be on my bookshelf. Alas, it was first published decades after I learned the art. I have its equivalent from my era on my bookshelf, which I still refer to from time to time - but I usually don't find what I'm looking for because I did in fact read the thing from cover to cover when at Uni. I data structures and algorithms that manipulate them are the basic bricks and mortar of our craft. Someone not being able to find the page they are looking for in their equivalent of the book is a crime commensurate with a civil engineer not being acquainted with a book on concrete on re-enforcing.
"The Art of Computer Programming (TAOCP)" was written by an anal retentive who appreciated by beautify of details, and knew how to convey it. You got that one right.
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