What are the data structures in go language?

The Go language has data structures such as arrays, slices, maps, linked lists, stacks, queues, trees, heaps and graphs. 1. Array, which can store elements of the same type; 2. Slice, which can automatically expand or shrink as needed; 3. Mapping, which can use mapping to implement data structures such as dictionaries and hash tables; 4. Linked list, each node contains data and a pointer to the next node; 5. Stack, you can use the stack to implement recursion, expression evaluation, etc.; 6. Queue, you can use the queue to implement message queue, breadth-first search, etc.

The operating environment of this tutorial: windows10 system, golang1.20.1 version, DELL G3 computer.

Go language is a modern programming language that provides rich data structures for processing and organizing data. The following are commonly used data structures in Go language:

1. Array: Array is a fixed-length data structure that can store elements of the same type. The length of the array is fixed when it is defined and cannot be dynamically adjusted.

2. Slice: A slice is a dynamic length array that can automatically expand or shrink as needed. Slices are a reference type that make it easy to share underlying data.

3. Map: A map is an unordered collection of key-value pairs, where each key must be unique. You can use mappings to implement data structures such as dictionaries and hash tables.

4. Linked list List): A linked list is a linear data structure consisting of a series of nodes, each node containing data and a pointer to the next node. Linked lists can easily insert and delete nodes, but finding nodes is less efficient.

5. Stack: The stack is a last-in-first-out (LIFO) data structure, which can be understood as a list that can only insert and delete elements from one end. You can use the stack to implement recursion, expression evaluation, etc.

6. Queue: Queue is a first-in-first-out (FIFO) data structure, which can be understood as a list that can only insert elements from one end and delete elements from the other end. Queues can be used to implement message queues, breadth-first search, etc.

7. Tree: A tree is a non-linear data structure consisting of a series of nodes, each node can have multiple child nodes. Trees can be used to organize and store data with hierarchical relationships.

8. Heap: Heap is a special tree data structure that satisfies the heap attribute: the value of the parent node is always less than or equal to (or greater than or equal to) the value of the child node. Heaps are often used to implement priority queues, sorting algorithms, etc.

9. Graph: A graph is a non-linear data structure consisting of a set of nodes and a set of edges. Graphs can be used to describe various complex relationships and network structures.

The above are commonly used data structures in the Go language. Each data structure is suitable for different application scenarios. Mastering these data structures will help you better solve practical problems and improve program efficiency and readability.

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