Recently, there is a hot question on Zhihu : "How do you look at Ali P8's additional coding link, but P7 can't make headline algorithmic problems?"
In fact, in any case, algorithm interview is still one of the most suitable methods for companies to screen programmers. Driven by companies such as Bytedance and Huawei, both job applicants and interviewers have gradually realized that algorithmic interviews are actually a relatively efficient, accurate and fair screening mechanism.
You may think that algorithm interviews are used in several practical tasks, but they are just "interviewing rockets and working screws" . Then I want to say that you did not realize the real purpose of algorithm interviews.
To put it simply, the algorithm interview is to select people who are smart enough or hard-working enough. In an algorithm question, not only your communication skills, your logical thinking skills, but also the quality of your code are also examined . Therefore, no matter what the situation is, it is not just memorizing the questions.
Let’s not say much about the others, let’s go directly to the dry goods, let’s follow the Ali boss group to destroy LeetCode and the interviewer, and feel the joy of controlling the algorithm.
table of Contents
Due to the excessive content of the document, there are 888 pages in total, so in order to avoid affecting everyone's reading experience, only some of the content is shown in screenshots. The detailed and full version can be forwarded + followed by private message [Algorithm] to get it!
Must-read series
- Guide to learning algorithms and brushing questions
- What books to read about data structures and algorithms
- Dynamic programming problem solving routine framework
- Dynamic planning answers
- Backtracking algorithm problem solving routine framework
- Binary search problem-solving routine framework
- Sliding window problem solving routine framework
- Summary of double pointer skills
- BFS algorithm routine framework
- What are Linux processes, threads, and file descriptors
- Git/SQL/Regular Expression Online Practice Platform
Dynamic programming problem solving routine framework
Dynamic planning answers
Dynamic Planning Series
- Dynamic programming design: the longest increasing subsequence
- Classic dynamic programming: 0-1 knapsack problem
- Classic dynamic programming: complete knapsack problem
- Classic dynamic programming: subset knapsack problem
- Classic dynamic programming: edit distance
- Classic dynamic planning: throwing eggs in high buildings
- Classic dynamic planning: throwing eggs in high buildings (advanced)
- Classical dynamic programming: the longest common subsequence
- Dynamic programming sub-sequence problem solving template
- The Game Problem of Dynamic Programming
- Regular expression of dynamic programming
- Dynamic programming four-key keyboard
- KMP character matching algorithm for dynamic programming
- Interval scheduling problem of greedy algorithm
- The issue of LeetCode stock trading
- Mission kill LeetCode, house robbery problem
Backpack problem
Throw eggs
Data structure series
- The road to algorithm learning
- Detailed binary heap implementation priority queue
- Detailed LRU algorithm
- Collection of Binary Search Tree Operations
- How to calculate the number of nodes in a complete binary tree
- Special data structure: monotonic stack
- Special data structure: monotonic queue
- Design Twitter
- Recursively reverse part of a linked list
- Queue implementation stack|Stack implementation queue
Detailed LRU algorithm
Algorithm Thinking Series
- Backtracking algorithm clique annihilation subset, permutation, and combination problems
- Best Practice of Backtracking Algorithm: Solving Sudoku
- Best Practice of Backtracking Algorithm: Parenthesis Generation
- Sliding window technique
- The core idea of the twoSum problem
- Commonly used bit operations
- Dismantling complex problems: implementing a calculator
- Biscuits sort
- Prefixes and tricks
- String multiplication
- Detailed explanation and application of FloodFill algorithm
- Interval merging problem of interval scheduling
- Interval Intersection Problem of Interval Scheduling
- Envelope nesting problem
- Several counter-intuitive probability problems
- Shuffle algorithm
- Recursion in detail
Recursion in detail
High-frequency interview series
- How to efficiently find prime numbers
- How to efficiently perform modular exponentiation
- How to use binary search algorithm
- How to efficiently solve the problem of receiving rainwater
- How to remove duplicate elements of an ordered array
- How to find the longest palindrome substring
- How to use greedy thinking to play jumping games
- How to reverse a set of k lists
- How to determine the legality of parentheses
- How to find missing elements
- How to find missing and repeated elements at the same time
- How to determine the palindrome linked list
- How to randomly sample elements in an infinite sequence
- How to schedule candidates' seats
- Detailed Union-Find algorithm
- Union-Find algorithm application
- Algorithmic problems that can be solved in one line of code
- Binary search for efficient decision subsequence
Play jumping games with greedy minds
computer technology
- What you must know about the Linux shell
- Practical tips for Linux shell
- Understand session and cookie in one article
- The predecessor of encryption algorithm
Understand session and cookie in one article
At last
This 888-page hardcore algorithm book should be the best learning algorithm material I have seen so far. I think every programmer should prepare a copy, because the domestic algorithm only has a trend to match North America in algorithm interviews. , And the interview scope is actually more comprehensive.
In particular, unicorns and first-line manufacturers represented by Alibaba have started to have algorithmic interviews very early. This year, Alibaba’s P8 interview also added a coding link, which further shows that the interviews of major domestic companies are in line with Silicon Valley companies. Like Google’s L5 to L6 (generally corresponding to Ali’s P8-P9), there will still be algorithmic questions in the interview, but the proportion will be less. The software engineers of many technology companies in North America must have a coding link, but only how much problem.
As a developer, even if you are not in a front-line development position, you still have to remain sensitive to technology and code.
Friends who need it quickly forward it, and only after like+following, can you get this hardcore algorithm book on my homepage [Algorithm]~~~
