Chapter 1 | Chapter 2 | Chapter 3 | Chapter 4 | Chapter 5 | Chapter 6 | Chapter 7 |
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Wrong questions + precise answers to real questions | programming language | Data Structures and Algorithms | computer network | operating system | database | Linux network programming |
Recently I have been thinking about a question: In the Internet age, faced with a vast sea of information and various uneven materials, how can we effectively screen and identify the most useful and refined knowledge for us?
I have learned a lot of knowledge, but I always forget it quickly. The greater the breadth of knowledge, the easier it is to accept new things, but from the perspective of investigation, naturally the deeper the understanding of a certain aspect, the better. Although each of those large and comprehensive classics is a classic among classics, only a small part of them may be used in most actual work.
Reminds me of what Uncle Mouse (Zhihu ID: Chen Hao) said: Have you ever discovered that there are also classes in the field of knowledge? Those who have been at the bottom of the intellectual class for a long time need to wait for people at the top to feed them. They have been trapped in the In an environment of rumors and inaccurate information , thus leading to erroneous or naive cognition, and getting used to those effortless light learning methods, thus gradually losing the independent thinking ability of deep learning, and thus no longer having the ability to break the restrictions of the intellectual class and being trapped You can't stand up at the bottom of cognition.
I don’t know if the above paragraphs have inspired you. For me personally, Uncle Mouse is actually talking about a kind of "information literacy" issue. When information is input to you, will you look for the source of the information? For example, when you see a famous quote in the title, have you checked to see if the person has said something similar? When you see the same press release, do you take a moment to read news from other media to verify the authenticity of the information? Facing so much knowledge every day, we must learn to filter out valuable knowledge and develop a kind of critical thinking, a spirit of doubt, and a kind of curiosity. Learn to devote time and focus to refining knowledge itself.
Spring recruitment/autumn recruitment is coming soon. Here we will summarize the core content of backend development in the shortest possible length and the clearest hierarchical structure.
Nowadays, I feel more and more that less is more. No matter how many things you read without a thorough understanding, it is useless. Going through the most commonly used ones every day is the most effective.
Finally, I hope everyone can find a satisfactory job during the spring recruitment/autumn recruitment.
A better way suitable for human cognition is through index + tree structure. When organizing this note, I divided many levels of indexes to divide each part of the knowledge points into corresponding modules and retrieve the corresponding knowledge. Points correspond to corresponding depths, which not only increases the retrieval speed, but also provides a macro understanding of the entire knowledge system.
We have to face a lot of complicated knowledge every day, and a person's time and energy are limited after all. If we are faced with a type of knowledge points and do not use effective methods, we often feel that the knowledge points are too many and complicated to learn. If you forget this piece and forget that piece, it will be difficult to clarify the connections and differences between various knowledge points.
Effective knowledge summarization methods can greatly improve learning efficiency.
System: To clarify the connections and differences between various knowledge points.
You can mark the level of importance: important knowledge points need to be reviewed repeatedly, while unimportant knowledge points only need to be understood.
You can write notes so that you don’t have to read the material again every time, but just take notes.
Convenient organization of information: It is inevitable to collect a lot of information during the learning process. It is best to record these information in the corresponding knowledge points.
Facilitates later review.
Position: Social Recruitment-Sogou Search APP-Back-end Development Engineer-Search Division-Full-time
Location: Beijing
job description
Job Responsibilities:
1. Responsible for the crawling and analysis of novels and applications
2. Responsible for maintaining and optimizing existing data processes
3. Responsible for optimizing the existing crawling and parsing architecture
Job requirements:
1. Have solid data structure and algorithm skills;
2. Work conscientiously, meticulously, and have strong learning ability;
3. Familiar with Linux development environment, familiar with python, C++ or Java language;
4. Understand http, familiar with html, DOM, xpath, scrapy is preferred;
5. Applicants with relevant experience in crawling, information extraction, etc. will be given priority
If you are interested, please send your resume to: [email protected]
Hello everyone, I am Xiaohe, a programmer, a senior fellow from Beijing Jiaotong University. I like algorithms, programming, and life. I currently work at Wudaokou Sogou.
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