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mortify2016-05-07 01:08:31
Programming
mortify, 2016-05-07 01:08:31

How to learn a language close to 100%?

Hello. I faced such a problem that when you know the language more or less confidently and well, we abstract from the details and, say, by 60 percent, and you want to study it for a good 95, then such a problem arises that even smart books contain information that you know mixed with new information. Yes, repeating everything will be good for the brain, but there is very little new for you in thick books, and the speed of learning the necessary drops sharply. What to do in such a situation?
I think that the best way would be to simply shovel through all the documentation from A to Z and forget about other resources. Are these the right thoughts?

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3 answer(s)
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Rou1997, 2016-05-07
@mortify

This is impossible, since there is a naturally infinite number of libraries and other development tools for each language.
Infinite, because more and more are being created.
Not everything is tailored for every language, but in principle, anything can be screwed to anything if it helps in solving the problem (of which there are also infinitely many).
If you say that you know everything that is in books and documentation, then a certain circle of people will look at you as if you were ... and will laugh for a long time, rustling with bills that they received while working on something that is not in any dock and book throughout our vast galaxy.
No need to count % of the ephemeral "language", you need to decide on the range of tasks and count % of the total number of tasks that you already know how to solve.

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AndreyDmitriev, 2016-05-07
@AndreyDmitriev

По моему опыту и наблюдениям за коллегами - тут работает правило 10000 часов. При сорокачасовой рабочей неделе это примерно 250 недель. То есть если активно программировать пять лет, то к концу этого срока вы станете профессионалом.

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zahardzhan, 2016-05-12
@zahardzhan

In itself, knowing any programming language 100% does not make any practical sense, because most of the practical ways of organizing information systems are always beyond the expressive capabilities of any predetermined programming language. Roughly speaking, the world of computing is infinitely rich within the framework of any - both the most limited and the most rollicking - programming language.

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