Functional programming is becoming popular in the Go language, providing cleaner and more predictable code. The core concept of functional programming is to use pure functions that always return the same result given the same input and have no side effects. Go provides features such as first-class functions, anonymous functions, and closures to support functional programming. Through examples, this article shows how to use functional programming to perform mapping (converting a string to uppercase) and filtering (filtering out strings less than 5 length) operations.
The future trend of functional programming in Go
Functional programming is becoming an increasingly popular trend in the Go language. It can improve code quality by providing cleaner, more predictable code.
Basic concepts of functional programming
The focus of functional programming is to decompose the program into a series of pure functions. Pure functions have the following properties:
Functional Programming Features in Go
Go provides several features to make functional programming easier:
Practical Example: Mapping and Filtering
Let’s use Go functional programming to demonstrate mapping and filtering:
package main import ( "fmt" "strings" ) func main() { // 创建一个字符串切片 fruits := []string{"apple", "banana", "cherry"} // 映射函数,将字符串转化为大写 toUpperCase := func(s string) string { return strings.ToUpper(s) } // 使用映射函数映射字符串切片 fruitsToUpper := Map(fruits, toUpperCase) // 打印映射后的切片 fmt.Println(fruitsToUpper) // 过滤函数,过滤掉长度小于 5 的字符串 lessThan5 := func(s string) bool { return len(s) < 5 } // 使用过滤函数过滤字符串切片 shortFruits := Filter(fruits, lessThan5) // 打印过滤后的切片 fmt.Println(shortFruits) } // Map 函数,用于将一个切片映射到另一个切片 func Map[T, R any](slice []T, f func(T) R) []R { results := make([]R, len(slice)) for i, v := range slice { results[i] = f(v) } return results } // Filter 函数,用于从切片中过滤项目 func Filter[T any](slice []T, f func(T) bool) []T { results := make([]T, 0) for _, v := range slice { if f(v) { results = append(results, v) } } return results }
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