Relearn data structures and algorithms

Relearning Data Structure and Algorithm Resources Introduction:

Course Background

An excellent software engineer must have strong code development capabilities. The ability to develop code is reflected in the accumulation of knowledge about data structures, algorithmic thinking, and code efficiency optimization.

At present, data structure and algorithm are compulsory parts of interviews for domestic first-tier Internet companies. In order to quickly improve their coding skills, many programmers choose to practice questions from public question banks. However, beginners are often confused and bewildered by the ever-changing coding questions before they have mastered the routines.

Column Interpretation

This course will provide you with a complete path to learn how to become an excellent engineer from four aspects: methodology, basic knowledge, practice with real questions, and interview skills. It includes the following five parts:

Part 1: Methods and paths to optimize "bad" code into efficient code. The goal of the code, in addition to completing the task, is to complete the task efficiently.

The second part will help you to supplement the necessary basic knowledge of data structures. Reducing time/space complexity requires a strong way to organize data. These abilities require you to have a very deep understanding of the basic knowledge of data structures. Only by understanding their advantages and disadvantages can you flexibly choose the appropriate data structure.

The third part is the focus of your study, which is the logic and programming method of thinking about problems with algorithms. By introducing recursion, binary search, sorting algorithms, etc., and teaching you some organizational methods that will not change the data, you can use clever methods to calculate code complexity.

The fourth part focuses on detailed explanations of BAT's high-frequency interview questions. In this part, you will use what you have learned previously to deeply analyze the solution methods and ideas of high-frequency real questions, which will help you with your interviews in large companies.

The fifth part, the interview scene, gives you practical advice on job hunting. Many engineers have a common problem, which is that they have the ability but cannot express it, and behave like a beginner. In this part, I will help you solve this problem by supplementing your interview experience, including on-site handwritten code, problem analysis, and the soft qualities that the interviewer focuses on.

Course Catalog

01 Complexity: How to measure the efficiency of program operation?.mp4

02 Data Structure: Converting "expensive" time complexity into "cheap" space complexity.mp4

03 Add, delete and check: Master the basic operations of data processing and keep constant in the face of ever-changing situations.mp4

04 How to complete the addition, deletion and query of linear table structure?.mp4

05 Stack: A linear table with last-in-first-out order, how to implement addition, deletion and query?.mp4

06 Queue: A linear list with first-in, first-out order. How to implement addition, deletion and query?.mp4

07 Arrays: How to implement index-based search?.mp4

08 String: How to correctly answer the string matching algorithm that is frequently tested in interviews?.mp4

09 Trees and Binary Trees: How to effectively implement addition, deletion and query under branch relationship and hierarchy?.mp4

10 Hash table: How to make good use of the "tool" for efficient search?.mp4

11 Recursion: How to use recursion to solve the Tower of Hanoi problem?.mp4

12 Divide and conquer: How to use divide and conquer method to complete data search?.mp4

13 Sorting: Analysis of the principles and comparison of advantages and disadvantages of classic sorting algorithms.mp4

14 Dynamic Programming: How to solve complex problems through optimal substructure?.mp4

15 Only by identifying the problem can we better solve it: Complexity analysis and technology selection before development.mp4

16 Real exam case (I): Algorithmic thinking training.mp4

17 Real exam case (II): Data structure training.mp4

18 Real exam case (three): Practice with real exam questions.mp4

19 Real exam case (IV): Practical exercises on real exam questions from big companies.mp4

20. In addition to coding, what soft skills should you have in a technical interview?.mp4

21 How to establish a global perspective in an interview and quickly complete high-quality handwritten code?.mp4

Detailed explanation of the after-class exercises for extra meals.mp4

Conclusion: Work hard to improve your internal strength and build your core competitiveness.mp4

Opening words: Data structure and algorithm, this is how you should learn!.mp4

Documentation_.tar