The purpose of this article is to encourage programmers to learn the real language LISP,
asics gel nimbus 10 mens, although the language in reality have few opportunities to apply, but the feature is currently the focus of a variety of dynamic languages to imitate. Past few years I have been engaged in the process design work, as a result of the nature of the problem because I mostly low-level exposure to the actual model of specific problems, such as CPU GPU registers, these things clear and rigid, while the problem boils down to is no more than simple logic and computation, has no program essence of design, self-exposure to AI, a bit LISP experience the flexibility,
supra shoes free shipping, eventually the reasons for personal understanding, and always without its essentials, although the purchase of the accepted LISP learning masterpiece, but the lack of application opportunities, understanding is limited, eventually shelved, and then have feel regret. long-term experience with C / C + + / C # so old-fashioned guy, so I always feel that in programming, as well as half of the I can not get a glimpse of the sky,
mbt sale online, recently I tried to fire it from a very close to LISP language to start JAVASCRIPT, with SICP see, I did not expect rewarding. SICP does extensions for programmers thinking of great benefit, otherwise it could not become University required courses abroad is strongly recommended that program design industry friends determined to study, if we can all understand thoroughly the above two books, I believe almost all programming languages can be mastered by. AI industry is very interesting, although it is filled with data mining, statistics,
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asics gt 2140 trail, just to list only a data type, and the most amazing is that LISP data and code actually no difference, LAMBDA calculus get everything, I believe we can not C + + programmers less surprised, these features make the current hot-called flexible PYTHON, RUBY, JAVASCRIPT, LUA feel depressed:), because the lisp was originally used to deal with messy problem of elastic great symbolic reasoning.
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