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Your Favorite Tech / Eng. / CS Books?
chris_eineke writes "I like to read and to collect good books related to computer science. I'm talking about stuff like the classic textbooks (Introduction to Algorithms 2nd ed., Tanenbaum's Operating Systems series) and practitioners' books (The Practice of Programming, Code Complete) and all-around excellent books (Structure and Interpretation of Computer Programs, Practical Common Lisp). What's your stocking-stuffer book this Christmas? What books have been sitting on your shelves that you think are the best ones of their kind? Which ones do you think are -1 Overrated? (All links are referral-free.)"
The classic IP networking book
As I'm a librarian I'm extremely interested in what people will suggest. The opinion of practitioners is a lot more relevent than that of book reviewers.
(personally, I think it's overrated, but I'm still proud to own the set).
Do you even lift?
These aren't the 'roids you're looking for.
Awesome book.
http://www.amazon.com/Switching-Power-Supply-Design-3rd/dp/0071482725/ref=pd_bbs_sr_2?ie=UTF8&s=books&qid=1230057542&sr=8-2
You can't legislate goodness. Let each to his own destiny, by will of his freely made choices.
Still the standard for programming language books, IMHO. I tell people to work all the way through it, from start to finish, and do every exercise until it works exactly as it should.
C isn't a perfect programming language, by any means -- no language is -- but writing lots of programs in it gives you a feel for the low-level things a computer has to do.
Possibly the most mind-expanding "C++" book ever written, and certainly the most poorly-named. It's all about template programming and will really change how you think about generic programming.
There's also Schneier's "Applied Cryptography" and Norvig's "Paradigms of Artificial Intelligence Programming" and "Artificial Intelligence: A Modern Approach" to satisfy the urge one sometimes gets to skip syntax and write software directly as a parse tree.
I love this book. Many times I run into developers that program the exact same way they learned in school, without ever really knowing why they do things a certain way or question if something can be done better. Effective Java is basically the knowledge that a mid-level and higher developer should have learned codified into book form. The organization is great (broken into topics - you do not need to read from front to back), and has clear and easy to understand examples. It is a great book to move a junior Java developer up to a mid-level Java developer very quickly. It is now available in a second edition that is even better and with more content than the first edition. It is also a Jolt award winner.
My very favorite technical book is Programming Perl, a.k.a. The Camel Book, by Larry Wall et al. It is indeed a rare gem to find a book with such complex technical concepts, that is so much fun to read, you can take it with you on the train commute, or on holiday, and read it from cover to cover.
-dZ.
Carol vs. Ghost
Mythical Man Month. A classic. There are no silver bullets! As true now as then.
Sometimes it's best to just let stupid people be stupid.
Nonlinear Dynamics and Chaos by Strogatz. The one and only book about math that I ever read without ever being bored nor puzzled, and I actually learned something at the end of it.
Victims of 9/11: <3000. Traffic in the US: >30,000/y
"Compilers: Principles, Techniques, and Tools" by Avo, Sethi, and Ullman.
To be fair, I'd like to point out that the 2nd Edition just came out when I picked it up and that's what I'm basing my opinion on. I've never read the 1st Ed (though it has a much cooler cover).
Honorable mentions:
The C Programming Language
Any of Tannenbaum's OS books (I'm kind of partial to the Design and Implementation one that uses Minix as a case study)
Deitel & Deitel's Java book (To be fair, it is good but overpriced if you don't already have to buy it as a textbook.)
It's good. I'm going to have to disagree with you on it being overrated. It's dense and long but it has lots of good things. I've learned a lot, despite only having started reading it recently.
http://www.amazon.com/Design-Patterns-Object-Oriented-Addison-Wesley-Professional/dp/0201633612/ref=pd_bbs_sr_1?ie=UTF8&s=books&qid=1230057946&sr=8-1/
If you're doing oject oriented, there's no better place to start looking when you you're trying to learn good software design. I know, some people say patterns are overused, but they are essential to understanding and designing complex software.
The first few chapters of Code will turn you from a know-nothing cubscout into a 2nd-year electrical engineering major within an afternoon. The book scales from understanding morse code to binary to logic gates to flipflops to RAM to assembler to constructing your own bios and operating systems with nothing but a hearty supply of semiconductors, batteries, plywood, wire, and solder, if you wanted to. The jumps between one level and another are made so they appear completely contiguous. It helps a CS student understand how software can truly run on hardware (instead of just looking at the magic boxes and saying "DO AS I SAY, PATHETIC PROCESSOR!")
I've never read a book that taught me so much in so few words so fluidly. I picked it up in a Barnes and Noble for like $20 (Skeptical from the logo on the back) and have never been so pleasantly surprised with a dead tree.
I am the richest astronaut ever to win the superbowl.
I agree completely. Aside from language reference books (a dime-a-dozen) and the web, I primarily use Mathematics texts books as my primary reference works. Lattice and Category theory are very helpful for understanding database design and algorithms -- an inner join on database tables is join of "sub-tables" in the Dedekind-MacLane completion of the lattice of "sub-tables", for example.
Combinatorics are helpful when analyzing algorithms in general. Category theory and some first order logic (quantifying over categories) gives you a sound and rich theory of types (or you can develop an equivalent one in about a million different ways). Never mind the domain specific problems I've worked on, including statistical analyses of large amounts of data.
For most computing domains, a CS degree is overrated. A Mathematics degree gets you 90% of the way there, and gives you so much more.
After all, I am strangely colored.
The Art of Computer Programming, Design Patterns, Domain Driven Design, Refactoring, Modern C++ Design, C++ Gotchas, The Mythical Man Month, Applied Cryptography, Introduction to Algorithms, Intro to Personal Software Process.
StoneCypher is Full of BS
Here's a criticism of that book from its own author: it supports the illusion that all you need to secure a system is the right technology.
Without doubt Clifford Stoll's The Cuckoo's Egg It had me gripped in a way that no programming book could have :-)
Agreed.
"Unix Network Programming" was a godsend.
Other CS books I like:
For math, my favorites are:
For physics, my favorites are:
I'll start with the one I'm most qualified to know about, with many years of UNIX systems administration under my belt - the UNIX System Administration Handbook. It reads like a book written by a bunch of sysadmins who know what they're talking about, and then telling you what you need to know.
Operating Systems Design and Implementation by Andrew Tanenbaum and Albert S Woodhull. Walks you step-by-step through Minix, a "POSIX conformant" Unix system designed primarily to teach students how operating systems work. You should probably have a *little* UNIX experience before going through it, but it will spell out in detail how things like pipes work beyond that they're STDOUT to STDIN, or how semaphores work and why it was necessary for semaphores to be invented in the first place. And so on.
K&R - not only a classic, but a useful one to boot.
Code Complete. Lots of the common wisdom, and theory to praxis to practice tried and true advice on how to right good programs - a preference for short functions that do one thing and do them well, with a limited number of variables, and with even more efforts to be conservative with regards to global variables.
Richards TCP/IP book. I use it as a reference when I need to know how to do something.
Knuth's The Art of Computer Programming is a reference book FOR reference books. You often see comments in kernel and critical software which says "Knuth's TAOCP says this is the best way to do this". He states how math underlies Computer Science which is probably why I'm still stuck on the first few pages of Volume 1. Maybe I'll go back to after I take a course in discrete math and calculus.
These are the six I can think of. I can think of other books I have found useful as well - some books on assembly programming and how the processor and system works, lots of O'Reilly books like the PERL ones.
And if you're looking for some light reading, Accidental Empires is good, as well as Hackers. You might also enjoy Just For Fun (by Linus Torvalds) and Free as in Freedom (about Richard Stallman) as well.
Yes, because the only people who read Slashdot are CS/Eng geeks, and I wasn't trying to get some information about other popular areas of study.
Geez. There's not even an FA to Read, but you skipped not only the summary but the HEADLINE?!
Where in "Tech / Eng. / CS" would you put "advertising wankery and asskissing?"
Oh also, your use of the word "marketdroids" shows me that you could really benefit from reading some of these sorts of books.
Fortunately, I don't have to. I actually possess a skill.
When I was about to write my first "Hello World" program, I thoroughly studied the theory of computability. The I had to give up the project, because I couldn't find a way to prove the consistency of such a program.
Security Engineering: A Guide to Building Dependable Distributed Systems by Ross Anderson, professor at Cambridge University.
It replaces and expands upon Applied Cryptography by Bruce Schneier, and Practical Cryptography by Ferguson & Schneier to make a more holistic approach to security encompassing the entire system, not just using the latest (coolest) encryption techniques. Most real-life systems are broken by going around or ignoring the encrpytion.
Another classic is
TCP/IP Illustrated by the late Richard Stevens
Most people need/read only Volume I: The Protocols, but there is also Volume II: The Implementation which is wonderful albeit with a smaller following, though Volume III which is considered a big disappointment to many (I've never read the vol 3) isn't worry buying unless you're specifically interested in its contents.
The only serious alternative to TCP/IP Illustrated is Douglas Comer's series Internetworking with TCP/IP which is the series I learnt about TCP/IP programming with. Still highly recommended.
For Software development, The Mythical Man-Month by computing pioneer Frederick Brooks should be required reading, and Peopleware: Productive Projects and Teams by Tom DeMarco and Timothy Lister should be handed to every new IT/IM or software manager with their promotion or hiring (if they haven't read it already). Computing would suck so much less if we all held ourselves accounting to the basic ideas in these two books.
For historic, 3 books + bonus item that would have to be included are:
Algorithms + Data Structures = Programs by Niklaus Wirth
Cybernetics: Or the Control and Communication in the Animal and the Machine in 1948 by Norbert Wiener
Computing Machinery and Intelligence, by Alan Turing and published in 1950 in Mind
Computer Lib/Dream Machines by Ted Nelson in 1974, is most often pointed to as the "birth" of hypermedia.
The January 1975 issue of Popular Electronics, which featured the Altair 8800 on its cover.