Data structure provides the algorithm with a way to organize data

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Data structure: It is the way computers store and organize data. It establishes specific logical relationships between data elements so that computers can efficiently access and operate these data.
Algorithm: It is a description of the steps to solve a specific problem. It is a finite Email List sequence of instructions, each of which represents one or more operations.
Their relationship: Data structure provides the algorithm with a way to organize data, while the algorithm specifies the steps to operate the data. The two complement each other and together constitute the soul of the program.

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Solve complex problems: Master the design ideas of various algorithms and be able to cope with various programming challenges.
Lay the foundation for subsequent learning: It is a sorting algorithm for learning operating systems, databases, compiler principles and other courses: bubble sort, insertion sort, selection sort, quick sort, merge sort, etc.



Search algorithm: sequential search, binary search, hash search, etc.
Graph algorithm: depth-first search, breadth-first search, shortest path algorithm, etc.
Dynamic programming: 0-1 knapsack problem, longest common subsequence, etc.
Greedy algorithm: activity selection problem, Huffman coding, etc.
How to learn data structures and algorithms?


Lay a solid foundation: Master the basic syntax and data types of programming languages.
Combine theory with practice: Learn theoretical knowledge while writing code.
Read more code: Read excellent open source code and learn other people's ideas.
Participate in discussions: Join the learning community and communicate with others.
Practice questions: Practice questions on platforms such as LeetCode and Likou to consolidate