Shulou(Shulou.com)06/03 Report--

As a weak rookie, looking at all kinds of data on the way to data analysis will only get bigger and bigger, and the key is to waste time, especially when time is tight. For me, who do not want to spend time screening information and want to improve the hit rate can only rely on the forehead.

The elder said that it would be fine to swipe LeetCode for the interview questions, but it would be very difficult after charging, but LeetCode is really comprehensive. Even if there are too many questions, I also know that there are no shortcuts to this kind of thing, but I am often in a messy state that I can't grasp the main points.

Fortunately, now that I have passed the exercise period, I have to say that some resources and courses are very helpful. I hope to record those dark times (feeling a little masochistic):

1. Don't memorize the questions, the basic questions in front of you need to be familiar with.

two。 Remember the template

3. Select a label for each question in order to classify it by method

4. It is recommended to start with the ease of AC Rates sorting and get off to a good start.

5.oj is still based on cpp, I use python to achieve, there are some algorithms are basically the same, cpp can pass but python can not.

Of course, no matter what, there are 1 million impulses to give up on the way to self-study. Fortunately, when I am very boring, I listen to the lecture as a relief of stress, mainly because I feel I should have listened to the lecture long ago. I have procrastination and often want to give up.

Because leetcode is very famous in the North American job search circle, my friends recommended me to go to their school to listen to Mr. Su Han's class, saying that I came back from doing postdoctoral research database at the University of Southern California. It was very clear (and beautiful, and beautiful). The key point was that it was all about a dead end, and there would be a feeling of sudden enlightenment. The types of questions I picked were basically the most important ones I felt after brushing the questions. I looked for them on the Internet. Visual observation is only DC has her online courses, a brief look at the introduction should be in line with the focus of the school. Keep the address and use it for next review:

Https://class.pkbigdata.com/#/classDetail/classIntroduce/3?slxydc=51ctoleetcode

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