Functional programming application of golang function

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Release: 2024-04-28 12:00:02
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In Go, functional programming is implemented through lambda expressions, higher-order functions, and function composition. Lambda expressions allow the definition of anonymous functions, higher-order functions accept functions as inputs or return values, and function composition can combine multiple functions to create new functions. In practical applications, functional programming can be used to efficiently process strings, such as converting a string array to uppercase and saving the length.

Functional programming application of golang function

Go Language Functional Programming Application

Functional programming is a programming paradigm that emphasizes the use of immutable values ​​and pure functions. In Go, you can do functional programming using lambda expressions, higher-order functions, and function composition.

Lambda expression

Lambda expression allows defining an anonymous function that can be passed as a value. The syntax is as follows:

funcName := func(params) returnVal {
  // 函数体
}
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For example:

add := func(x, y int) int {
  return x + y
}
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Higher-order function

A higher-order function is a function that accepts a function as input or returns a function. There are some higher-order functions built into Go, such as map, filter and reduce.

For example, the map function applies a function to each element in the sequence, returning a new sequence containing the results:

nums := []int{1, 2, 3, 4, 5}
doubled := map(nums, func(x int) int { return x * 2 })
fmt.Println(doubled) // 输出:[2 4 6 8 10]
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Function Combination

Function composition is the operation of combining multiple functions to create a new function. You can use the func keyword to pass a function as a parameter:

func compose(f, g func(int) int) func(int) int {
  return func(x int) int {
    return f(g(x))
  }
}
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Example:

doubleThenAddOne := compose(func(x int) int { return x + 1 }, func(x int) int { return x * 2 })
fmt.Println(doubleThenAddOne(3)) // 输出:7
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Practical case: String processing

Let’s see how Use functional programming in real-world scenarios. Suppose we have an array of strings and we need to convert each string to uppercase and save its length into another array.

import (
  "fmt"
  "strings"
)

func main() {
  // 字符串数组
  strs := []string{"hello", "world", "golang"}

  // 转换为大写并获取长度
  upper := map(strs, func(s string) int { return len(strings.ToUpper(s)) })

  fmt.Println(upper) // 输出:[5 5 6]
}
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Conclusion

Functional programming in Go provides powerful tools for creating flexible and reusable code. With lambda expressions, higher-order functions, and function composition, you can write complex and less error-prone programs.

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