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Explore commonly used data structures and applications in Go language
Overview
Go language is a powerful programming language with simple, efficient and concurrent programming features Features. In Go's standard library, there are many commonly used data structures and algorithms, which provide developers with rich solutions. This article will focus on commonly used data structures in the Go language and provide corresponding code examples.
var arr [3]int // 创建一个长度为3的int类型数组 arr[0] = 1 // 第一个元素赋值为1 arr[1] = 2 // 第二个元素赋值为2 arr[2] = 3 // 第三个元素赋值为3
var slice []int // 创建一个空的int类型切片 slice = append(slice, 1) // 向切片添加一个元素 slice = append(slice, 2, 3, 4) // 向切片添加多个元素
var m map[string]int // 创建一个空的string类型到int类型的映射 m = make(map[string]int) // 初始化映射 m["one"] = 1 // 添加一个键值对 m["two"] = 2 // 添加另一个键值对
type Node struct { data int next *Node } func main() { var head *Node // 头节点 var tail *Node // 尾节点 head = &Node{data: 1} // 创建第一个节点 tail = head // 将尾节点指向头节点 tail.next = &Node{data: 2} // 创建第二个节点 tail = tail.next // 将尾节点指向第二个节点 fmt.Println(head.data, head.next.data) // 输出第一个节点和第二个节点的数据 }
type Stack []int func (s *Stack) Push(data int) { *s = append(*s, data) } func (s *Stack) Pop() int { if len(*s) == 0 { return 0 } data := (*s)[len(*s)-1] *s = (*s)[:len(*s)-1] return data } func main() { var stack Stack stack.Push(1) stack.Push(2) stack.Push(3) fmt.Println(stack.Pop()) }
type Queue []int func (q *Queue) Enqueue(data int) { *q = append(*q, data) } func (q *Queue) Dequeue() int { if len(*q) == 0 { return 0 } data := (*q)[0] *q = (*q)[1:] return data } func main() { var queue Queue queue.Enqueue(1) queue.Enqueue(2) queue.Enqueue(3) fmt.Println(queue.Dequeue()) }
Summary
This article introduces commonly used data structures in the Go language and provides corresponding code examples. Although the standard library of the Go language has provided many excellent data structures, in actual applications, we may also need customized data structures based on specific needs. By mastering these common data structures, developers can solve problems more efficiently and improve code readability and maintainability.
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