[sdiy] (OT) theory of programming/philosophy of programming books?
subjectivity at hotmail.com
Tue Feb 7 22:36:24 CET 2012
I didnt really think any of these would be micro specific and thats fine...my interest in programming is growing and id like to feed that!
On Feb 7, 2012, at 3:47 PM, Magnus Danielson <magnus at rubidium.dyndns.org> wrote:
> On 02/07/2012 04:58 PM, dan snazelle wrote:
>> I have been spending a lot of time lately with C, mainly for the AVR, and I am learning a lot of the commands, and am getting pretty good at modifying other peoples code.
>> But I am looking for some books which might go beyond just learning one particular language, books which might give some insight into how to attack specific types of problems, etc.
>> Philosophy of programming? or theory books.
>> I looked on Amazon but there were so many books I didnt know where to start.
>> any advice appreciated.
> There are several angles to this. A few different books relating to algorithms is recommended. They help you think about how you design your programs and the consequences of design-approaches. Learning about different complexities and the ordo-analysis is one such tool and eye-opener. It's not all, but it is a good education.
> Thomas H. Cormen, Ronald L. Rivest, Charles E. Leiserson and Clifford Stein, "Introduction to Algorithms"
> Robert Sedgewick "Algorithms"
> Are two good books to start with, either one. They have common coverage, but also different strengths.
> Then of coarse the grand-master of Donald Knuth "The Art of Computer Programming" is takes it a good step forward both good education, good coverage and good science.
> Then, when you design large systems, there is the issue of learning the information hiding principles, which forms the basis of the object oriented programming, which then can be morphed into many other aspects.
> There are several principles of organising processing, and it is very good to learn a number of them, since the ability to find the right one can dominate the performance and for that matter complexity of the solution. You can do bulk processing, event-oriented processing, state machines which get events with data, main loop with interrupts etc. etc. etc.
> There are so many aspects, so many approaches. The only one thing one has to recall is that there is no silver bullet, but only more things to learn.
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