Why should we pay attention to learning algorithm ?
There is a saying in the programming industry, "The higher the salary of , the more important the algorithm is ."
From the interview perspective, , is currently the world's top first-tier companies, and most of them use algorithms as interview questions . For example, Microsoft , Google , Facebook , Amazon , etc. These all take algorithms as the core test questions. Domestic ByteDance, Alibaba , Tencent and other major companies will also take exams, and all domestic and foreign universities offer courses to study
From a work perspective, , high-end creative work, 80% are related to algorithms . To put it bluntly, programming means that people think with machine thinking. At the beginning, when a newbie had no practical experience, no database, and no programming experience, the best way is to algorithms. One algorithm question takes 10 turns, and there are only 2 CRUDs for working. Once you have learned the algorithm and basically understand it, then there will definitely be no problem with your basic work in daily life. For 90% of people, what they do in the company every day is CRUD, but many high-end work in this world is based on algorithms. For example, take the HashMap we often use as an example. What is the internal implementation logic? In fact, the concept of red and black tree is used, but you don’t know it, but in many cases, the work business logic still needs to be used
. Finally, I give you the ultimate reason for learning algorithms and data structures:
, the company will take the algorithm test, and you won’t be able to get in. Can you learn it? ?
How to learn algorithms efficiently
Why do many people not learn algorithms well? A fan recently sent me a private message saying that he was doing a lot of questions on LeetCode, but he had no direction. This leads to inability to systematize, being too blind, being very inefficient, and getting half the result with twice the effort. Today, I will take this opportunity to share with you a guide to brushing questions from LeetCode algorithms on the latest list on Github. This material can help you solve 118 high-frequency interview algorithm problems in LeetCode large manufacturers. All are based on LeetCode questions, covering all question types and techniques, which are very comprehensive, and can be learned and used immediately.
leetCode Algorithm Question Practice Guide Directory Overview
Friends who need to obtain the complete algorithm question Practice Manual can forward + follow it directly, and send a private message [666] to directly receive
Chapter 1, Dynamic Programming Series
Chapter 2, Data Structure Series
Chapter 2, Data Structure Series
Chapter 2, Data Structure Series
Chapter 3, Algorithm Thinking Series
Chapter 4, High-frequency interview series
Summary
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Summary
Whether it is campus recruitment, social recruitment, or interviews with first-tier factories, you will more or less ask questions about data structures and algorithms. If you want to pass the interview and get the offer you like, don’t let the data structure and algorithms drag you down.
Because there are too many contents in the manual, only some of the contents of are displayed here. If you need to obtain the complete algorithm question manual, you can forward it directly + follow it and send a private message to me [666] to
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