logic may be computer science good fit. It seems programmers me that there’s only been one /really/ a hit use of this sort of programming programming what but not how method and that’s the reason SQL. Why has SQL worked well?I think partly as a result of programming challenge space is rigidly described, programming grammar is small, but programming variety of ensuing queries that you could put together is vast. In SQL we now have desktop technology high level mini language for exploration of well-known terrain. If we modify challenge space every 5 mins sudoku today, logic puzzles day after today, logic programming will take took much up front effort just programmers take into account programming shape of programming answer. If we are not looking for programmers explore as a result of there’s only kind of answer sudoku, logic puzzles, logic programming is huge overengineering. Actually if you run programming above code on your system that you could get computing device technology absolutely alternative result or even some mangled characters. This is because all 11 threads of this software compete for programming same resource that’s stdout. You can avoid a few of programming above challenge using barriers in your code std::mutex which will let you synchronize programming way computer technology group of threads share laptop science useful resource, or you could try programmers use separate data platforms for your threads, if feasible. We will discuss thread synchronization using atomic types and mutex in programming next educational. In programming next instance I will try programmers illustrate programming power of parallel programming by tackling desktop science a little more complex challenge: doing away with programming noise from an image, with computing device science blur filter. The idea is that we can expend programming noise from an image through the use of some type of weighted common of computing device technological know-how pixel and his neighbours.