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DjTolib2021-07-16 11:09:37
Algorithms
DjTolib, 2021-07-16 11:09:37

How to prepare according to algorithms for an interview (junior)?

How to prepare according to algorithms for an interview (junior)?
Re-reading the whip is not an option, only 4-5 days. But I'm not from the Faculty of Philosophy) There is a base

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Sergey Gornostaev, 2021-07-16
@DjTolib

Judging by the word "reread", Knut had already been read before and should have settled in the head. Accordingly, it is enough to skim through the main topics just to refresh your knowledge.

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dmshar, 2021-07-16
@dmshar

I never understood what "preparing for an interview" means. I understand for the exam - they learned "from now to now", answered the question, satisfied the teacher, received their mark and good bye.
And for the interview? What's the point if you "pick up" some fragmentary knowledge in 4 days, even answer something correctly (almost accidentally) at an interview without a deep understanding. After all, you are not deceiving the teacher here, tomorrow you will have to solve not a toy conversational, but a real production problem. The employer thinks that you are a specialist in algorithms, and you just “picked up” something there before the interview. You can guess how your trial period will end. So why waste time? It is better to spend it on STUDYing algorithms, and at the next interview, do not shake that you will be asked something that you did not have time to read. Then the employer will understand with whom he is dealing, and you will benefit in the future.
In general, an interview is not an exam! To prepare for it specially is to your own detriment. But at the interview you need to show exactly what you really are. And if this does not suit the employer, then thank God that you were not hired for this job.
However, a sane employer will not force you to tell a specific algorithm at an interview to the point. But ask to compare, explain why one of them is better, faster, more economical, etc. The other one can very well. Or, for example, ask you to select the most appropriate algorithm for a specific task and specific data. It is to the understanding of precisely such things that one must devote time to preparation.

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